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Zhang BL, Peng F, Li L, Gao YH, Wang ZJ, Lu YX, Chen L, Zhang KC. Construction and validation of a novel prognostic nomogram for patients with poorly differentiated gastric neuroendocrine neoplasms. World J Clin Oncol 2025; 16:102565. [DOI: 10.5306/wjco.v16.i4.102565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2024] [Revised: 01/03/2025] [Accepted: 01/17/2025] [Indexed: 03/26/2025] Open
Abstract
BACKGROUND The prognosis of patients with poorly differentiated gastric neuroendocrine neoplasms (PDGNENs) is dismal and related research is limited.
AIM To investigate the prognostic factors, and validate a novel prognostic nomogram for PDGNEN patients.
METHODS We conducted a retrospective study using clinical and pathological data from PDGNEN patients treated at the First Medical Center of the Chinese PLA General Hospital from January 2000 to June 2023. Overall survival (OS) differences were assessed with the Log-rank test and Kaplan-Meier survival curves. Cox regression analysis identified independent risk factors for prognosis. Model performance was evaluated using Harrell’s concordance index, receiver operating characteristic analysis, area under the curve, calibration curves, and decision curve analysis (UDC), including the area under the UDC.
RESULTS The study included 336 patients (227 with neuroendocrine carcinoma and 109 with mixed adenoneuroendocrine carcinoma). The average age was 62.7 years. The cohort comprised 80 (24.7%) patients in stage I, 146 (42.9%) in stage II, 62 (18.1%) in stage III, and 48 (14.3%) in stage IV. Significant differences in OS were observed across tumor-node-metastasis stages (P < 0.001). Multivariate analysis showed age, Ki-67 index, invasion depth, lymph node metastasis, distant metastasis, and platelet-to-lymphocyte ratio as independent risk factors. We developed a nomogram with a concordance index of 0.779 (95% confidence interval: 0.743-0.858). Receiver operating characteristic analysis showed area under the curves for 1-year, 3-year, and 5-year OS predictions of 0.865, 0.850, and 0.890, respectively. The calibration curve demonstrated good agreement with actual outcomes. The area under the UDC for the nomogram vs the 8th American Joint Committee on Cancer tumor-node-metastasis staging system were 0.047 vs 0.027, 0.291 vs 0.179, and 0.376 vs 0.216 for 1-year, 3-year, and 5-year OS, respectively.
CONCLUSION PDGNENs are predominantly found in older men, often in advanced stages at diagnosis, resulting in poor prognosis. The established nomogram demonstrates strong predictive capability and clinical utility.
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Affiliation(s)
- Ben-Long Zhang
- Department of Breast and Thyroid Surgery, Haikou Affiliated Hospital of Central South University Xiangya School of Medicine, Haikou 570208, Hainan Province, China
| | - Fei Peng
- Department of Gastrointestinal Surgery, Zhongxian People’s Hospital of Chongqing, Chongqing 400000, China
| | - Li Li
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yun-He Gao
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Zi-Jian Wang
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Yi-Xun Lu
- Department of Anesthesiology, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Lin Chen
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
| | - Ke-Cheng Zhang
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing 100853, China
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Petrillo A, Ottaviano M, Pompella L, Giunta EF, Pisapia P, Marte G, Tufo A, Di Lorenzo S, Orefice J, Miceli C, Malapelle U, Daniele B, De Vita F. Rare epithelial gastric cancers: a review of the current treatment knowledge. Ther Adv Med Oncol 2025; 17:17588359241255628. [PMID: 39867743 PMCID: PMC11760139 DOI: 10.1177/17588359241255628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 04/30/2024] [Indexed: 01/28/2025] Open
Abstract
Gastric cancer (GC), one of the tumours with the highest mortality worldwide, is not a homogeneous disease, showing different features according to location, macroscopic aspect, histotype and molecular alterations. Adenocarcinoma is the most frequent epithelial GC (95%), the remaining 5% comprising rare epithelial tumours with their peculiarities, behaviour and incidence <6 cases/100,000/year. Due to the low number of cases, many aspects must be elucidated in this context. In this narrative review, we highlight the importance of a better understanding of rare GCs to personalize the cures in the light of the precision medicine concept. Our main aim is to translate the scarce evidence from the literature into daily clinical practice, never forgetting that all the clinicians dedicated to rare GCs should encourage such patients' enrolment in clinical trials and promote international collaborations. Hence, we focused on the treatment of the following rare GCs: rare gastric adenocarcinomas (hepatoid adenocarcinoma, medullary carcinoma with lymphoid stroma, Paneth cell carcinoma and Salivary Gland carcinoma); squamous cell carcinoma; adenosquamous carcinoma; neuroendocrine gastric neoplasms; gastroblastoma.
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Affiliation(s)
- Angelica Petrillo
- Medical Oncology Unit, Ospedale del Mare, Via E. Russo, Naples 80147, Italy
| | - Margaret Ottaviano
- Department of Melanoma, Cancer Immunotherapy and Development Therapeutics, Istituto Nazionale Tumori IRCCS Fondazione Pascale, Naples, Italy
| | - Luca Pompella
- Medical Oncology Unit, Ospedale Ave Gratia Plena, ASL Caserta, San Felice a Cancello, Italy
| | - Emilio Francesco Giunta
- Department of Experimental Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Pasquale Pisapia
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | | | - Andrea Tufo
- Surgical Unit, Ospedale del Mare, Naples, Italy
| | - Sara Di Lorenzo
- Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Jessica Orefice
- Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Chiara Miceli
- Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Naples, Italy
| | - Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Bruno Daniele
- Medical Oncology Unit, Ospedale del Mare, Naples, Italy
| | - Ferdinando De Vita
- Department of Precision Medicine, Università degli Studi della Campania ‘Luigi Vanvitelli’, Naples, Italy
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Ahn B, Kim D, Kim MJ, Jeong SR, Song IH, Kim JY, Hong SA, Jun SY, Cho H, Park YS, Escorcia FE, Chung JY, Hong SM. Prognostic significance of tertiary lymphoid structures in gastric neuroendocrine carcinoma with association to delta-like ligand 3 and neuroendocrine expressions. Gastric Cancer 2025; 28:27-40. [PMID: 39352632 DOI: 10.1007/s10120-024-01557-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Accepted: 09/21/2024] [Indexed: 01/11/2025]
Abstract
BACKGROUND Gastric neuroendocrine carcinomas (NECs) are rare cancers with highly aggressive behavior. Although tertiary lymphoid structures (TLSs) are well-known prognostic factors in various cancers, their role in gastric NECs remain unexplored. Unique immunohistochemical subtypes of pulmonary NECs have been discovered, however, their feasibility in gastric NECs is unknown. METHODS The presence and maturation of TLSs (lymphoid aggregates, primary and secondary follicles) were assessed in 48 surgically resected gastric NECs and were compared with immunohistochemical subtypes, using a panel of ASCL1, NeuroD1, POU2F3, YAP1, and DLL3 with three neuroendocrine (NE) markers. RESULTS Patients with secondary follicles had significantly better overall survival (OS) and recurrence-free survival (RFS; both, p = 0.004) than those without them. Based on the hierarchical clustering, gastric NECs were classified into all low/negative (31%), high-YAP1 (19%), high-DLL3/low-NE (29%), and high-NE (21%) expression groups. The high-DLL3/low-NE group was associated with absent TLSs (p = 0.026) and showed the worst OS (p = 0.026). Distant metastasis and a lack of secondary follicles were poor independent prognostic factors of OS and RFS. CONCLUSION The assessment of TLSs is a feasible and potent biomarker for gastric NECs, thus enabling better prognosis and more effective immunotherapy. Furthermore, gastric NECs can be categorized as four immunohistochemically distinct groups, of which the high-DLL3/low-NE group has the worst OS with lack of TLSs.
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Affiliation(s)
- Bokyung Ahn
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Deokhoon Kim
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Mi-Ju Kim
- Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea
| | - Seo-Rin Jeong
- Department of Statistics, Korea University, Seoul, Republic of Korea
| | - In Hye Song
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Joo Young Kim
- Department of Pathology, Chung‑Ang University Hospital, College of Medicine, Chung-Ang University, Seoul, Republic of Korea
| | - Soon Auck Hong
- Department of Pathology, Chung‑Ang University Hospital, College of Medicine, Chung-Ang University, Seoul, Republic of Korea
| | - Sun-Young Jun
- Department of Pathology, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - HyungJun Cho
- Department of Statistics, Korea University, Seoul, Republic of Korea
| | - Young Soo Park
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Freddy E Escorcia
- Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Joon-Yong Chung
- Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Seung-Mo Hong
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
- Department of Pathology, Brain Korea 21 Project, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
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Wang HN, An JH, Zong L. Estimating prognosis of gastric neuroendocrine neoplasms using machine learning: A step towards precision medicine. World J Gastrointest Oncol 2024; 16:4548-4552. [PMID: 39678793 PMCID: PMC11577357 DOI: 10.4251/wjgo.v16.i12.4548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 08/05/2024] [Accepted: 08/12/2024] [Indexed: 11/12/2024] Open
Abstract
Survival rates following radical surgery for gastric neuroendocrine neoplasms (g-NENs) are low, with high recurrence rates. This fact impacts patient prognosis and complicates postoperative management. Traditional prognostic models, including the Cox proportional hazards (CoxPH) model, have shown limited predictive power for postoperative survival in gastrointestinal neuroectodermal tumor patients. Machine learning methods offer a unique opportunity to analyze complex relationships within datasets, providing tools and methodologies to assess large volumes of high-dimensional, multimodal data generated by biological sciences. These methods show promise in predicting outcomes across various medical disciplines. In the context of g-NENs, utilizing machine learning to predict survival outcomes holds potential for personalized postoperative management strategies. This editorial reviews a study exploring the advantages and effectiveness of the random survival forest (RSF) model, using the lymph node ratio (LNR), in predicting disease-specific survival (DSS) in postoperative g-NEN patients stratified into low-risk and high-risk groups. The findings demonstrate that the RSF model, incorporating LNR, outperformed the CoxPH model in predicting DSS and constitutes an important step towards precision medicine.
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Affiliation(s)
- Hong-Niu Wang
- Graduate School of Medicine, Changzhi Medical College, Changzhi 046000, Shanxi Province, China
| | - Jia-Hao An
- Graduate School of Medicine, Changzhi Medical College, Changzhi 046000, Shanxi Province, China
| | - Liang Zong
- Department of Gastrointestinal Surgery, Changzhi People’s Hospital, Changzhi 046000, Shanxi Province, China
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5
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Liao T, Su T, Lu Y, Huang L, Wei WY, Feng LH. Random survival forest algorithm for risk stratification and survival prediction in gastric neuroendocrine neoplasms. Sci Rep 2024; 14:26969. [PMID: 39506090 PMCID: PMC11541730 DOI: 10.1038/s41598-024-77988-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Accepted: 10/28/2024] [Indexed: 11/08/2024] Open
Abstract
This study aimed to construct and assess a machine-learning algorithm designed to forecast survival rates and risk stratification for patients with gastric neuroendocrine neoplasms (gNENs) after diagnosis. Data on patients with gNENs were extracted and randomly divided into training and validation sets using the Surveillance, Epidemiology, and End Results database. We developed a prediction model using 10 machine learning algorithms across 101 combinations to forecast cancer-related mortality in patients with gNENs, selecting the best model using the highest mean over a sequence of time-dependent area under the receiver operating characteristic (ROC) curve (AUC). The performance of the final model was assessed through time-dependent ROC curves for discrimination and calibration curves for calibration. The maximum selection rank method was used to determine the best prognostic risk score threshold for classifying patients into high- and low-risk groups. Afterward, Kaplan-Meier analysis and log-rank test were used to compare survival rates among these groups. Our study examined 775 patients with gNENs, dividing them into training and validation sets. A training set comprised 543 patients, with a median follow-up of 42 months and cumulative mortality rates of 40.0% at 1 year, 48.6% at 3 years, and 54.0% at 5 years. A validation set comprised 232 patients, with cumulative mortality rates of 29.1% at 1 year, 43.5% at 3 years, and 53.2% at 5 years. The optimal random survival forest (RSF) model (mtry = 4, node size = 5) achieved an AUC of 0.839 for survival prediction in the training set. Comprising 11 variables such as demographics, treatment details, tumor characteristics, T staging, N staging, and M staging, the RSF model revealed high predictive accuracy with AUCs of 0.92, 0.96, and 0.96 for 1-, 3-, and 5-year survival, respectively, which was consistently reflected in the validation set with AUCs of 0.88, 0.92, and 0.89, respectively. Moreover, patients were risk-stratified. Although our RSF model effectively stratified patients into different prognostic groups, it needs external validation to confirm its utility for noninvasive prognostic prediction and risk stratification in gNENs. Further research is required to verify its broader clinical applicability.
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Affiliation(s)
- Tianbao Liao
- Department of President's Office, Youjiang Medical University for Nationalities, Baise, China
| | - Tingting Su
- Department of ECG Diagnostics, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yang Lu
- Department of International Medical, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Lina Huang
- Department of Endocrinology and Metabolism Nephrology, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Wei-Yuan Wei
- Department of Gastric and Abdominal Tumor Surgery, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China.
| | - Lu-Huai Feng
- Department of Endocrinology and Metabolism Nephrology, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China.
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6
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Rudolph JJ, Agyei O, Telvizian T, Ghaneie A. Gastric Neuroendocrine Tumors and Pernicious Anemia: A Case Report and Literature Review. Cureus 2024; 16:e73553. [PMID: 39669826 PMCID: PMC11637537 DOI: 10.7759/cureus.73553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/11/2024] [Indexed: 12/14/2024] Open
Abstract
Gastrointestinal neuroendocrine tumors (GI-NETs) are rare neoplasms, with the gastric (stomach) subtype (G-NETs) representing a significant clinical focus. Type 1 G-NETs are particularly noteworthy due to their relationship with autoimmune atrophic gastritis (AAG) and pernicious anemia (PA), conditions that impact vitamin B12 absorption. This report presents the case of a patient with a type 1 G-NET identified at the initial diagnosis of PA, demonstrating the connection between these conditions. In the literature review, we discuss the general mechanisms underlying PA, including its etiology, pathogenesis, clinical presentations, and diagnostic approaches. Emphasis is placed on the importance of recognizing and diagnosing this condition early, given the treatable nature of the associated gastric neuroendocrine dysregulation. Additionally, the report examines the broad spectrum of G-NETs, with a special emphasis on the characteristics of type 1 tumors. By considering recent developments in the field, we provide an overview of the current understanding of G-NET epidemiology, classification, clinical features, diagnosis, and management strategies.
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Affiliation(s)
| | - Obed Agyei
- Hematology and Medical Oncology, Lankenau Medical Center, Wynnewood, USA
| | - Talar Telvizian
- Hematology and Medical Oncology, Lankenau Medical Center, Wynnewood, USA
| | - Arezoo Ghaneie
- Hematology and Medical Oncology, Lankenau Medical Center, Wynnewood, USA
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Kong L, Yan C, Nie S, Jin H, Li X. Comparison of proximal and distal gastric neuroendocrine carcinoma based on SEER database. Sci Rep 2024; 14:25956. [PMID: 39472636 PMCID: PMC11522417 DOI: 10.1038/s41598-024-76689-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Accepted: 10/16/2024] [Indexed: 11/02/2024] Open
Abstract
The occurrence of gastric neuroendocrine carcinoma (GNEC) is on the rise, and its prognosis is extremely poor. We compared survival outcomes between distal and proximal GNEC and developed a nomogram incorporating tumor site to enhance personalized management for patients with GNEC. 1807 patients were divided into DGNEC and PGNEC groups. We performed analyses by using propensity score matching (PSM) and Fine-Gray competing risk methods. A predictive nomogram for the prognosis of GNEC was constructed and validated. The cumulative incidence of cancer-specific death (CSD) in the DGNEC group was lower than that in the PGNEC group. Subgroup analysis showed lower CSD of DGNEC in males, females, tumor sizes (≤ 2 cm, 2 < tumor size ≤ 5 cm, > 5 cm, and unknown), grade stage I-II, and AJCC stage I-III, chemotherapy or no chemotherapy, surgery or no surgery groups (P < 0.05). Multivariate analysis revealed a significant association between PGNEC and CSD (HR, 1.4; 95% CI 1.13-1.73; P = 0.02). The independent predictors of CSD in patients with GNEC were primary site, gender, age, tumor size, AJCC stage, T stage, N stage, grade stage, and surgery. A predictive model based on multivariate analysis was constructed to estimate the probability of CSD at 1-, 3-, and 5-year. The calibration curves demonstrated excellent consistency between the predicted and observed probabilities of CSD. Patients with DGNEC have a better prognosis than those with PGNEC. The model exhibits strong predictive capability for these patients.
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Affiliation(s)
- Lingjie Kong
- Disease Control and Prevention Administration of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Chaobiao Yan
- Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, No.453 Stadium Road, Hangzhou, 310007, Zhejiang, China
| | - Shijiao Nie
- Department of Hospital Infection Management, Hangzhou First People's Hospital Affiliated to Westlake University School of Medicine, Hangzhou, Zhejiang, China
| | - Haijuan Jin
- Department of Obstetrics and Gynecology, Hangzhou Linping Hospital of Traditional Chinese Medicine, Hangzhou, Zhejiang, China
| | - XiaoWen Li
- Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, No.453 Stadium Road, Hangzhou, 310007, Zhejiang, China.
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Chen Q, Guo Y, Wang Z, Chen X, Tian C, Zheng J, Tan H. Development and validation of a nomogram to predict overall survival of gastroenteropancreatic neuroendocrine carcinoma: a SEER database analysis. Transl Cancer Res 2024; 13:4678-4693. [PMID: 39430841 PMCID: PMC11483443 DOI: 10.21037/tcr-23-2215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 08/01/2024] [Indexed: 10/22/2024]
Abstract
Background Gastroenteropancreatic neuroendocrine carcinoma (GEP-NEC) is a rare group of diseases with poor prognosis and the assessment of its prognosis is a significant challenge. This study aimed to develop and validate a prognostic nomogram to assess overall survival (OS) in patients with GEP-NEC. Methods Patients diagnosed with poorly differentiated GEP-NEC were collected from the Surveillance, Epidemiology, and End Results (SEER) database between 2011 and 2015 and were randomly assigned to the training or validation cohort in a 7:3 ratio. The data included details of clinicopathological characteristics, therapeutic interventions and survival outcomes. Univariate and multivariate Cox regression analyses were used to identify independent prognostic factors. Nomogram was used to predict OS at 1 and 2 years. The nomogram was internally validated with validation cohort, and its predictive ability was evaluated using concordance index (C-index), receiver operating characteristic (ROC) curves, calibration plots, decision curve analysis (DCA), and integrated discrimination improvement (IDI) index. Results A total of 887 patients were divided into the training group (n=623) and the validation group (n=264). A total of 476 patients (53.66%) were in stage IV. Based on multivariate analysis, a nomogram was constructed with age, gender, N stage, tumor size, primary tumor resection, radiotherapy and chemotherapy (P<0.05). The C-index was 0.701 [95% confidential interval (CI): 0.677-0.725] and 0.731 (95% CI: 0.698-0.764) for the training and validation groups, respectively. The C-index, ROC, IDI and DCA results indicated that this nomogram model has a good predictive value. Conclusions In this study, a nomogram model based on seven independent prognostic factors provided visualization of the risk and could help clinicians predict the 1-year and 2-year OS for GEP-NEC. This tool can provide personalized survival predictions and improve clinical decision making for the management of GEP-NEC.
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Affiliation(s)
- Qishuang Chen
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
| | - Yiying Guo
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zihan Wang
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Traditional Chinese Medicine Department of Rheumatism, China-Japan Friendship Hospital, Beijing, China
| | - Xiaoying Chen
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
| | - Chao Tian
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
| | - Jiabin Zheng
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
| | - Huangying Tan
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing, China
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9
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Fei S, Wu WD, Zhang HS, Liu SJ, Li D, Jin B. Primary coexisting adenocarcinoma of the colon and neuroendocrine tumor of the duodenum: A case report and review of the literature. World J Gastrointest Surg 2024; 16:2724-2734. [PMID: 39220064 PMCID: PMC11362920 DOI: 10.4240/wjgs.v16.i8.2724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2024] [Revised: 05/13/2024] [Accepted: 06/07/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND Neuroendocrine tumors (NETs) arise from the body's diffuse endocrine system. Coexisting primary adenocarcinoma of the colon and NETs of the duodenum (D-NETs) is a rare occurrence in clinical practice. The classification and treatment criteria for D-NETs combined with a second primary cancer have not yet been determined. CASE SUMMARY We report the details of a case involving female patient with coexisting primary adenocarcinoma of the colon and a D-NET diagnosed by imaging and surgical specimens. The tumors were treated by surgery and four courses of chemotherapy. The patient achieved a favorable clinical prognosis. CONCLUSION Coexisting primary adenocarcinoma of the colon and D-NET were diagnosed by imaging, laboratory indicators, and surgical specimens. Surgical resection combined with chemotherapy was a safe, clinically effective, and cost-effective treatment.
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Affiliation(s)
- Song Fei
- Department of Thoracic and Cardiovascular Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou 510000, Guangdong Province, China
| | - Wei-Dong Wu
- Department of Thoracic and Cardiovascular Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou 510000, Guangdong Province, China
| | - Han-Shuo Zhang
- Department of Gastrointestinal Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou 510000, Guangdong Province, China
| | - Shao-Jie Liu
- Department of Gastrointestinal Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou 510000, Guangdong Province, China
| | - Dan Li
- Department of Thoracic and Cardiovascular Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou 510000, Guangdong Province, China
| | - Bo Jin
- Department of Thoracic and Cardiovascular Surgery, Guangzhou Red Cross Hospital of Jinan University, Guangzhou 510000, Guangdong Province, China
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10
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Liu W, Wu HY, Lin JX, Qu ST, Gu YJ, Zhu JZ, Xu CF. Combining lymph node ratio to develop prognostic models for postoperative gastric neuroendocrine neoplasm patients. World J Gastrointest Oncol 2024; 16:3507-3520. [PMID: 39171165 PMCID: PMC11334026 DOI: 10.4251/wjgo.v16.i8.3507] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 05/14/2024] [Accepted: 06/12/2024] [Indexed: 08/07/2024] Open
Abstract
BACKGROUND Lymph node ratio (LNR) was demonstrated to play a crucial role in the prognosis of many tumors. However, research concerning the prognostic value of LNR in postoperative gastric neuroendocrine neoplasm (NEN) patients was limited. AIM To explore the prognostic value of LNR in postoperative gastric NEN patients and to combine LNR to develop prognostic models. METHODS A total of 286 patients from the Surveillance, Epidemiology, and End Results database were divided into the training set and validation set at a ratio of 8:2. 92 patients from the First Affiliated Hospital of Soochow University in China were designated as a test set. Cox regression analysis was used to explore the relationship between LNR and disease-specific survival (DSS) of gastric NEN patients. Random survival forest (RSF) algorithm and Cox proportional hazards (CoxPH) analysis were applied to develop models to predict DSS respectively, and compared with the 8th edition American Joint Committee on Cancer (AJCC) tumor-node-metastasis (TNM) staging. RESULTS Multivariate analyses indicated that LNR was an independent prognostic factor for postoperative gastric NEN patients and a higher LNR was accompanied by a higher risk of death. The RSF model exhibited the best performance in predicting DSS, with the C-index in the test set being 0.769 [95% confidence interval (CI): 0.691-0.846] outperforming the CoxPH model (0.744, 95%CI: 0.665-0.822) and the 8th edition AJCC TNM staging (0.723, 95%CI: 0.613-0.833). The calibration curves and decision curve analysis (DCA) demonstrated the RSF model had good calibration and clinical benefits. Furthermore, the RSF model could perform risk stratification and individual prognosis prediction effectively. CONCLUSION A higher LNR indicated a lower DSS in postoperative gastric NEN patients. The RSF model outperformed the CoxPH model and the 8th edition AJCC TNM staging in the test set, showing potential in clinical practice.
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Affiliation(s)
- Wen Liu
- Department of Gastroenterology, Changzhou Hospital of Traditional Chinese Medicine, Changzhou 213000, Jiangsu Province, China
| | - Hong-Yu Wu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China
| | - Jia-Xi Lin
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China
| | - Shu-Ting Qu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China
| | - Yi-Jie Gu
- Department of Gastroenterology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou 215200, Jiangsu Province, China
| | - Jin-Zhou Zhu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China
| | - Chun-Fang Xu
- Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu Province, China
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Lin H, Li Y, Chen Y, Zeng L, Li B, Chen S. Epidemiology and Prognostic Nomogram for Predicting Long-Term Disease-Specific Survival in Patients With Pancreatic Carcinoid Tumor: A SEER-Based Study. Pancreas 2024; 53:e424-e433. [PMID: 38530947 DOI: 10.1097/mpa.0000000000002320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
OBJECTIVES Pancreatic carcinoid tumor (PCT) is described as a malignant form of carcinoid tumors. However, the epidemiology and prognostic factors for PCT are poorly understood. MATERIALS AND METHODS The data of 2447 PCT patients were included in this study from the Surveillance, Epidemiology, and End Results database and randomly divided into a training cohort (1959) and a validation cohort (488). The epidemiology of PCT was calculated, and independent prognostic factors were identified to construct a prognostic nomogram for predicting long-term disease-specific survival (DSS) among PCT patients. RESULTS The incidence of PCT increased remarkably from 2000 to 2018. The 1-, 5-, and 10-year DSS rates were 96.4%, 90.3%, and 86.5%, respectively. Age at diagnosis, stage, surgery, radiotherapy, and chemotherapy were identified as independent prognostic factors to construct a prognostic nomogram. The C -indices; area under the receiver operating characteristic curves for predicting 1-, 5-, and 10-year DSS, and calibration plots of the nomogram in both cohorts indicated a high discriminatory accuracy, preferable survival predictive ability, and optimal concordances, respectively. CONCLUSIONS The incidence of PCT has increased rapidly since 2000. In addition, we established a practical, effective, and accurate prognostic nomogram for predicting the long-term DSS of PCT patients.
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Affiliation(s)
- Hai Lin
- From the Department of Cancer Center, the Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai City, Guangdong Province, China
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Huang J, Liu H, Yang D, Xu T, Wang J, Li J. Personalized treatment of well-differentiated gastric neuroendocrine tumors based on clinicopathological classification and grading: A multicenter retrospective study. Chin Med J (Engl) 2024; 137:720-728. [PMID: 38384175 PMCID: PMC10950134 DOI: 10.1097/cm9.0000000000003029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND The incidence of well-differentiated gastric neuroendocrine tumors (G-NET) is increasing annually, and while they have a good prognosis and low mortality rate, their high recurrence rate makes treatment options controversial. This study aims to determine the relationship between individualized treatment plans and the recurrence of G-NET. METHODS We performed a multicenter, retrospective study of 94 patients with highly differentiated G-NET and treated at Peking Union Medical College Hospital, Yantai Yuhuangding Hospital, and Beijing Zhong-Neng-Jian Hospital from November 2015 to September 2023. Risk factors for recurrence of G-NETs were investigated using chi-squared test and multifactorial logistic regression analysis. RESULTS After a median follow-up of 49 months, the overall recurrence rate among the 94 G-NET patients was 14% (13/94). The recurrence rates of endoscopic mucosal resection (EMR), endoscopic submucosal dissection (ESD), somatostatin analog (SSA) therapy, and surgery were 43% (6/14), 10% (5/49), 5% (1/22), and 11% (1/9), respectively. Post-treatment recurrence rates were significantly different ( P = 0.014) among four treatments (EMR, ESD, SSA, and surgery), and further subgroup comparisons revealed lower recurrence rates in the ESD and SSA groups than in the EMR group. From the second month onward, SSA therapy considerably reduced the gastrin levels from 1081.0 (571.5, 2472.8) pg/mL to 461.5 (255.3, 795.0) pg/mL ( Z = -3.521, P <0.001). Both chi-squared test and multifactorial logistic regression analysis suggested that among the clinicopathological parameters studied, only the pre-treatment gastrin level ( P = 0.018 and 0.005) and the type of treatment ( P = 0.014 and 0.017) were significantly associated with G-NET recurrence. CONCLUSIONS Individualized treatment strategies may reduce the risk of relapse after G-NET treatment. Long-term SSA therapy may be a secure and efficacious treatment option for type 1 G-NET with more than six lesions, and it substantially decreases the incidence of post-treatment recurrence.
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Affiliation(s)
- Ju Huang
- Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Huimin Liu
- Department of Gastroenterology, Affiliated Yantai Yuhuangding Hospital of Qingdao University Medical College, Yantai, Shandong 264000, China
| | - Dekun Yang
- Department of Gastroenterology, Beijing Zhong-Neng-Jian Hospital, Beijing 102401, China
| | - Tianming Xu
- Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Jing Wang
- Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Jingnan Li
- Department of Gastroenterology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100730, China
- Key Laboratory of Gut Microbiota Translational Medicine Research, Chinese Academy of Medical Sciences, Beijing 100730, China
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Sok C, Ajay PS, Tsagkalidis V, Kooby DA, Shah MM. Management of Gastric Neuroendocrine Tumors: A Review. Ann Surg Oncol 2024; 31:1509-1518. [PMID: 38062290 PMCID: PMC10922891 DOI: 10.1245/s10434-023-14712-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 11/20/2023] [Indexed: 01/30/2024]
Abstract
Gastric neuroendocrine tumors (G-NET) are rare tumors arising from enterochromaffin-like cells of the gastric mucosa. They belong to a larger group called gastroenteropancreatic neuroendocrine tumors and are classified as low, intermediate, or high-grade tumors based on their proliferative indices. They are further categorized into three subtypes based on their morphologic characteristics, pathogenesis, and behavior. Types 1 and 2 tumors are characterized by elevated serum gastrin and are usually multifocal. They typically occur in the setting of atrophic gastritis or MEN1/Zollinger Ellison syndrome, respectively. Type 2 tumors are associated with the most symptoms, such as abdominal pain and diarrhea. Type 3 tumors are associated with normal serum gastrin, are usually solitary, and occur sporadically. This type has the most aggressive phenotype and metastatic potential. Treatment and prognosis for G-NET is dependent on their type, size, and stage. Type 1 has the best prognosis, and Type 3 has the worst. This review discusses the presentation, workup, and surgical management of these tumors.
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Affiliation(s)
- Caitlin Sok
- Division of Surgical Oncology, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
| | - Pranay S Ajay
- Division of Surgical Oncology, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
| | - Vasileios Tsagkalidis
- Division of Surgical Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA
| | - David A Kooby
- Division of Surgical Oncology, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA
| | - Mihir M Shah
- Division of Surgical Oncology, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA.
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14
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Zhao ZH, Huang Y, Jiang C, Lv GY, Wang M. Comparative prognosis and risk assessment in gallbladder neuroendocrine neoplasms versus adenocarcinomas. Front Endocrinol (Lausanne) 2024; 15:1326112. [PMID: 38390209 PMCID: PMC10882707 DOI: 10.3389/fendo.2024.1326112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 01/23/2024] [Indexed: 02/24/2024] Open
Abstract
Background Gallbladder neuroendocrine neoplasms (GB-NENs) are a rare malignant disease, with most cases diagnosed at advanced stages, often resulting in poor prognosis. However, studies regarding the prognosis of this condition and its comparison with gallbladder adenocarcinomas (GB-ADCs) have yet to yield convincing conclusions. Methods We extracted cases of GB-NENs and GB-ADCs from the Surveillance, Epidemiology, and End Results (SEER) database in the United States. Firstly, we corrected differences in clinical characteristics between the two groups using propensity score matching (PSM). Subsequently, we visualized and compared the survival outcomes of the two groups using the Kaplan-Meier method. Next, we employed the least absolute shrinkage and selection operator (LASSO) regression and Cox regression to identify prognostic factors for GB-NENs and constructed two nomograms for predicting prognosis. These nomograms were validated with an internal validation dataset from the SEER database and an external validation dataset from a hospital. Finally, we categorized patients into high-risk and low-risk groups based on their overall survival (OS) scores. Results A total of 7,105 patients were enrolled in the study, comprising 287 GB-NENs patients and, 6,818 GB-ADCs patients. There were substantial differences in clinical characteristics between patients, and GB-NENs exhibited a significantly better prognosis. Even after balancing these differences using PSM, the superior prognosis of GB-NENs remained evident. Independent prognostic factors selected through LASSO and Cox regression were age, histology type, first primary malignancy, tumor size, and surgery. Two nomograms for prognosis were developed based on these factors, and their performance was verified from three perspectives: discrimination, calibration, and clinical applicability using training, internal validation, and external validation datasets, all of which exhibited excellent validation results. Using a cutoff value of 166.5 for the OS nomogram score, patient mortality risk can be identified effectively. Conclusion Patients with GB-NENs have a better overall prognosis compared to those with GB-ADCs. Nomograms for GB-NENs prognosis have been effectively established and validated, making them a valuable tool for assessing the risk of mortality in clinical practice.
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Affiliation(s)
| | | | | | | | - Meng Wang
- Department of Hepatobiliary and Pancreatic Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin, China
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Cai D, Wang X, Yu H, Bai C, Mao Y, Liang M, Xia X, Liu S, Wang M, Lu X, Du J, Shen X, Guan W. Infiltrating characteristics and prognostic value of tertiary lymphoid structures in resected gastric neuroendocrine neoplasm patients. Clin Transl Immunology 2024; 13:e1489. [PMID: 38322490 PMCID: PMC10844765 DOI: 10.1002/cti2.1489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 12/13/2023] [Accepted: 01/21/2024] [Indexed: 02/08/2024] Open
Abstract
Objectives Tertiary lymphoid structures (TLSs) are lymphocyte aggregates that play an anti-tumor role in most solid tumors. However, the functions of TLS in gastric neuroendocrine neoplasms (GNENs) remain unknown. This study aimed to determine the characteristics and prognostic values of TLS in resected GNEN patients. Methods Haematoxylin-eosin, immunohistochemistry (IHC) and multiple fluorescent IHC staining were used to assess TLS to investigate the correlation between TLSs and clinicopathological characteristics and its prognostic value. Results Tertiary lymphoid structures were identified in 84.3% of patients with GNEN. They were located in the stromal area or outside the tumor tissue and mainly composed of B and T cells. A high density of TLSs promoted an anti-tumor immune response in GNEN. CD15+ TANs and FOXP3+ Tregs in TLSs inhibited the formation of TLSs. High TLS density was significantly associated with prolonged recurrence-free survival (RFS) and overall survival (OS) of GNENs. Univariate and multivariate Cox regression analyses revealed that TLS density, tumor size, tumor-node-metastasis (TNM) stage and World Health Organisation (WHO) classification were independent prognostic factors for OS, whereas TLS density, tumor size and TNM stage were independent prognostic factors for RFS. Finally, OS and RFS nomograms were developed and validated, which were superior to the WHO classification and the TNM stage. Conclusion Tertiary lymphoid structures were mainly located in the stromal area or outside the tumor area, and high TLS density was significantly associated with the good prognosis of patients with GNEN. Incorporating TLS density into a nomogram may improve survival prediction in patients with resected GNEN.
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Affiliation(s)
- Daming Cai
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Xingzhou Wang
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Heng Yu
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Chunhua Bai
- Dermatology and Interventional Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Yonghuan Mao
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Mengjie Liang
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Xuefeng Xia
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Song Liu
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Meng Wang
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Xiaofeng Lu
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Junfeng Du
- Department of General Surgery, The 7th Medical CenterChinese PLA General HospitalBeijingChina
| | - Xiaofei Shen
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
- Department of General SurgeryDrum Tower Clinical Medical College of Nanjing Medical UniversityNanjingChina
| | - Wenxian Guan
- Department of General Surgery, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
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Zi M, Ma Y, Chen J, Pang C, Li X, Yuan L, Liu Z, Yu P. Clinicopathological characteristics of gastric neuroendocrine neoplasms: A comprehensive analysis. Cancer Med 2024; 13:e7011. [PMID: 38457192 PMCID: PMC10922030 DOI: 10.1002/cam4.7011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 11/29/2023] [Accepted: 01/31/2024] [Indexed: 03/09/2024] Open
Abstract
OBJECTIVE This study aimed to explore the clinicopathological characteristics and prognostic implications of gastric neuroendocrine neoplasms (g-NENs). METHODS A retrospective enrollment of 142 patients diagnosed with g-NENs was conducted at Zhejiang Cancer Hospital between January 1, 2007 and December 31, 2021. The study compared essential clinicopathological features and survival rates. Additionally, the prognosis of gastric neuroendocrine carcinomas/mixed neuroendocrine-non-neuroendocrine neoplasms (g-NEC/MiNEN) were contrasted with those of gastric adenocarcinoma (GAC) and signet ring cell carcinoma (SRCC). RESULTS The study comprised a total of 142 g-NENs cases, with a male-to-female ratio of approximately 2:1. The 5-year survival rates for g-NEC and g-MiNEN were 26.7% and 35.2%, respectively. Corresponding 5-year survival rates for G1 and G2 were observed at 100% and 80.0%, respectively. g-NEC/MiNEN showed a significantly worse prognosis compared to g-NET (p < 0.001). g-NEC/MiNEN exhibited a poor prognosis compared to GAC (p < 0.001), and within poorly differentiated GAC, g-NEC/MiNEN demonstrated a worse prognosis (p = 0.007). Additionally, patients receiving postoperative adjuvant therapy exhibited notably prolonged overall survival (OS) in the case of g-NEC/MiNEN (p = 0.010). CONCLUSION In short, the prognosis of g-NEC/MiNEN was worse than that of g-NET, GAC and poorly differentiated GAC, but this group benefit from postoperative adjuvant therapy.
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Affiliation(s)
- Mengli Zi
- Postgraduate training base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital)HangzhouZhejiangChina
- Department of Gastric surgery, Zhejiang Cancer HospitalHangzhou Institute of Medicine (HIM), Chinese Academy of SciencesHangzhouZhejiangChina
- Zhejiang Provincial Research Center for Upper Gastrointestinal Tract CancerZhejiang Cancer HospitalHangzhouChina
- Zhejiang Key Lab of Prevention, Diagnosis and Therapy of Upper Gastrointestinal CancerZhejiang Cancer HospitalHangzhouChina
| | - Yubo Ma
- Department of Gastric surgery, Zhejiang Cancer HospitalHangzhou Institute of Medicine (HIM), Chinese Academy of SciencesHangzhouZhejiangChina
- Zhejiang Provincial Research Center for Upper Gastrointestinal Tract CancerZhejiang Cancer HospitalHangzhouChina
- Zhejiang Key Lab of Prevention, Diagnosis and Therapy of Upper Gastrointestinal CancerZhejiang Cancer HospitalHangzhouChina
- The Second Clinical Medical College of Zhejiang Chinese Medical UniversityHangzhouZhejiangChina
| | - Jinxia Chen
- Postgraduate training base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital)HangzhouZhejiangChina
- Department of Gastric surgery, Zhejiang Cancer HospitalHangzhou Institute of Medicine (HIM), Chinese Academy of SciencesHangzhouZhejiangChina
- Zhejiang Provincial Research Center for Upper Gastrointestinal Tract CancerZhejiang Cancer HospitalHangzhouChina
- Zhejiang Key Lab of Prevention, Diagnosis and Therapy of Upper Gastrointestinal CancerZhejiang Cancer HospitalHangzhouChina
| | - Chuhong Pang
- Postgraduate training base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital)HangzhouZhejiangChina
- Department of Gastric surgery, Zhejiang Cancer HospitalHangzhou Institute of Medicine (HIM), Chinese Academy of SciencesHangzhouZhejiangChina
- Zhejiang Provincial Research Center for Upper Gastrointestinal Tract CancerZhejiang Cancer HospitalHangzhouChina
- Zhejiang Key Lab of Prevention, Diagnosis and Therapy of Upper Gastrointestinal CancerZhejiang Cancer HospitalHangzhouChina
| | - Xiao Li
- Department of Gastric surgery, Zhejiang Cancer HospitalHangzhou Institute of Medicine (HIM), Chinese Academy of SciencesHangzhouZhejiangChina
- Zhejiang Provincial Research Center for Upper Gastrointestinal Tract CancerZhejiang Cancer HospitalHangzhouChina
- Zhejiang Key Lab of Prevention, Diagnosis and Therapy of Upper Gastrointestinal CancerZhejiang Cancer HospitalHangzhouChina
- The Second Clinical Medical College of Zhejiang Chinese Medical UniversityHangzhouZhejiangChina
| | - Li Yuan
- Department of Gastric surgery, Zhejiang Cancer HospitalHangzhou Institute of Medicine (HIM), Chinese Academy of SciencesHangzhouZhejiangChina
- Zhejiang Provincial Research Center for Upper Gastrointestinal Tract CancerZhejiang Cancer HospitalHangzhouChina
- Zhejiang Key Lab of Prevention, Diagnosis and Therapy of Upper Gastrointestinal CancerZhejiang Cancer HospitalHangzhouChina
| | - Zhuo Liu
- Department of Colorectum surgeryZhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of SciencesHangzhouZhejiangChina
| | - Pengfei Yu
- Department of Gastric surgery, Zhejiang Cancer HospitalHangzhou Institute of Medicine (HIM), Chinese Academy of SciencesHangzhouZhejiangChina
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Yu C, Wu X, Zhang S, Zhang L, Zhang H, Yang H, Zhao M, Li Z. Prognostic model for survival in patients with neuroendocrine carcinomas of the cervix: SEER database analysis and a single-center retrospective study. PLoS One 2024; 19:e0296446. [PMID: 38181016 PMCID: PMC10769015 DOI: 10.1371/journal.pone.0296446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 12/06/2023] [Indexed: 01/07/2024] Open
Abstract
OBJECTIVE Neuroendocrine carcinoma of the cervix (NECC) is extremely rare in clinical practice. This study aimed to methodologically analyze the clinicopathological factors associated with NECC patients and to develop a validated survival prediction model. METHODS A total of 535 patients diagnosed with NECC between 2004 and 2016 were identified from the Surveillance, Epidemiology and End Results (SEER) database, while 122 patients diagnosed with NECC at Yunnan Cancer Hospital (YCH) from 2006 to 2019 were also recruited. Patients from the SEER database were divided into a training cohort (n = 376) and a validation cohort (n = 159) in a 7:3 ratio for the construction and internal validation of the nomogram. External validation was performed in a cohort at YCH. The Kaplan-Meier method was used for survival analysis, the Log-rank method test was used for univariate analysis of prognostic influences, and the Cox regression model was used for multivariate analysis. RESULTS The 3-year and 5-year overall survival (OS) rates for patients with NECC in SEER were 43.6% and 39.7%, respectively. In the training cohort, multivariate analysis showed independent prognostic factors for NECC patients including race, tumor size, distant metastasis, stage, and chemotherapy (p<0.05). For extended application in other cohorts, a nomogram including four factors without race was subsequently created. The consistency index (C-index) of the nomogram predicting survival was 0.736, which was well-validated in the validation cohorts (0.746 for the internal validation cohort and 0.765 for the external validation cohort). In both the training and validation cohorts, the 3-year survival rates predicted by the nomogram were comparable to the actual ones. We then succeeded in dividing patients with NECC into high- and low-risk groups concerning OS using the nomogram we developed. Besides, univariate analysis showed that chemotherapy ≥4 cycles may improve the OS of patients at YCH with NECC. CONCLUSION We successfully constructed a nomogram that precisely predicts the OS for patients with NECC based on the SEER database and a large single-center retrospective cohort. The visualized and practical model can distinguish high-risk patients for recurrence and death who may benefit from clinical trials of boost therapy effectively. We also found that patients who received more than 4 cycles of chemotherapy acquired survival benefits than those who received less than 4 cycles.
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Affiliation(s)
- Caixian Yu
- Department of Gynecologic Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital/Yunnan Cancer Center), Kunming, Yunnan, PR China
| | - Xiaoliu Wu
- Department of Gynecologic Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital/Yunnan Cancer Center), Kunming, Yunnan, PR China
| | - Shao Zhang
- Department of Gynecologic Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital/Yunnan Cancer Center), Kunming, Yunnan, PR China
| | - Lan Zhang
- Department of Radiotherapy, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital/Yunnan Cancer Center), Kunming, Yunnan, PR China
| | - Hongping Zhang
- Department of Gynecologic Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital/Yunnan Cancer Center), Kunming, Yunnan, PR China
| | - Hongying Yang
- Department of Gynecologic Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital/Yunnan Cancer Center), Kunming, Yunnan, PR China
| | - Min Zhao
- Medical Administration Department, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital/Yunnan Cancer Center), Kunming, Yunnan, PR China
| | - Zheng Li
- Department of Gynecologic Oncology, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital/Yunnan Cancer Center), Kunming, Yunnan, PR China
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Guo X, Zhao X, Huang G, Yu Y. Advances in Endoscopic Diagnosis and Treatment of Gastric Neuroendocrine Neoplasms. Dig Dis Sci 2024; 69:27-35. [PMID: 37971578 DOI: 10.1007/s10620-023-08180-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023]
Abstract
Gastric neuroendocrine neoplasms refer to a group of diseases that are relatively rare. They can be classified into three subtypes based on their clinical and histopathological features, and there are significant differences in diagnosis, treatment, and prognosis among the different subtypes. The incidence of gastric neuroendocrine neoplasms has been increasing globally in recent years with the localized disease being particularly evident. Gastrointestinal endoscopy is of irreplaceable importance for the diagnosis and management of g-NENs. Endoscopy with biopsy is the gold standard for the diagnosis of g-NENs. Ultrasound endoscopy can assess the depth of tumor invasion and the presence of lymphatic metastases, which is important for the development of treatment strategies. Meanwhile, for some small and low-risk lesions, endoscopic surveillance or endoscopic resection has satisfactory therapeutic results and prognosis. This means that even though the incidence has increased, advances in endoscopic techniques have allowed more patients to adopt a relatively conservative treatment strategy. However, the criteria for patients suitable for endoscopic surveillance or endoscopic resection remain controversial.
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Affiliation(s)
- Xinrui Guo
- Department of Gastroenterology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, 250012, Shandong, People's Republic of China
- Shandong Provincial Clinical Research Center for Digestive Disease, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China
| | - Xiaohan Zhao
- Department of Gastroenterology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, 250012, Shandong, People's Republic of China
- Shandong Provincial Clinical Research Center for Digestive Disease, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China
| | - Gang Huang
- Department of Gastroenterology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, 250012, Shandong, People's Republic of China
- Shandong Provincial Clinical Research Center for Digestive Disease, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China
| | - Yanbo Yu
- Department of Gastroenterology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road, Jinan, 250012, Shandong, People's Republic of China.
- Shandong Provincial Clinical Research Center for Digestive Disease, Qilu Hospital of Shandong University, Jinan, Shandong, People's Republic of China.
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Yang Z, Han Y, Li F, Zhang A, Cheng M, Gao J. Deep learning radiomics analysis based on computed tomography for survival prediction in gastric neuroendocrine neoplasm: a multicenter study. Quant Imaging Med Surg 2023; 13:8190-8203. [PMID: 38106311 PMCID: PMC10721996 DOI: 10.21037/qims-23-577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 09/14/2023] [Indexed: 12/19/2023]
Abstract
Background Survival prediction is crucial for patients with gastric neuroendocrine neoplasms (gNENs) to assess the treatment programs and may guide personalized medicine. This study aimed to develop and evaluate a deep learning (DL) radiomics model to predict the overall survival (OS) in patients with gNENs. Methods The retrospective analysis included 162 consecutive patients with gNENs from two hospitals, who were divided into a training cohort, internal validation cohort (The First Affiliated Hospital of Zhengzhou University; n=108), and an external validation cohort (The Henan Cancer Hospital; n=54). DL radiomics analysis was applied to computed tomography (CT) images of the arterial phase and venous phase, respectively. Based on pretreatment CT images, two DL radiomics signatures were developed to predict OS. The combined model incorporating the radiomics signatures and clinical factors was built through the multivariable Cox proportional hazards (CPH) method. The combined model was visualized into a radiomics nomogram for individualized OS estimation. Prediction performance was assessed with the concordance index (C-index) and the Kaplan-Meier (KM) estimator. Results The DL-based radiomics signatures based on two phases were significantly correlated with OS in the training (C-index: 0.79-0.92; P<0.01), internal validation (C-index: 0.61-0.86; P<0.01), and external validation (C-index: 0.56-0.75; P<0.01) cohorts. The combined model integrating radiomics signatures with clinical factors showed a significant improvement in predictive performance compared to the clinical model in the training (C-index: 0.86 vs. 0.80; P<0.01), internal validation (C-index: 0.77 vs. 0.71; P<0.01), and external validation (C-index: 0.71 vs. 0.66; P<0.01) cohorts. Moreover, the combined model classified patients into high-risk and low-risk groups, and the high-risk group had a shorter OS compared to the low-risk group in the training cohort [hazard ratio (HR) 3.12, 95% confidence interval (CI): 2.34-3.93; P<0.01], which was validated in the internal (HR 2.51, 95% CI: 1.57-3.99; P<0.01) and external validation cohort (HR 1.77, 95% CI: 1.21-2.59; P<0.01). Conclusions DL radiomics analysis could serve as a potential and noninvasive tool for prognostic prediction and risk stratification in patients with gNENs.
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Affiliation(s)
- Zhihao Yang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yijing Han
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fei Li
- School of Cyber Science and Engineering, Wuhan University, Wuhan, China
| | - Anqi Zhang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Ming Cheng
- Department of Medical Information, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jianbo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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20
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Platoff RM, Lou J, Bush K, Zhu C, Spitz E, Gaughan JP, Atabek U, Spitz F, Hong YK. Gastric Neuroendocrine Tumor Treatment and Survival Outcome Depends on Facility Type. Am Surg 2023; 89:4334-4343. [PMID: 35722860 DOI: 10.1177/00031348221109460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Gastric neuroendocrine tumors (gNETs) are rare cancers for which surgery may improve survival. We aim to determine if facility type affects treatment and survival outcomes. METHODS The NCDB was queried for patients with gNET from 2004-2016 and stratified into Academic/Research Program (ARP), Community Cancer Program (CCP), Comprehensive Community Cancer Program (CCCP), or Integrated Network Cancer Program (INCP). Overall survival along with clinical and demographic features was compared. RESULTS Median survival was improved in patients treated at an academic program: 137.3 months versus 88.0, 96.3, and 100.2 for CCP, CCCP, INCP, respectively (P < .0001). Patients treated at academic centers were more likely to have surgery (64.2% vs 59.1%, 57.5%, 51.4%, P < .0001). After propensity matching for age, race, grade, stage, insurance status, and comorbidity score, survival benefit from treatment at an academic center remained (P = .03), particularly for patients undergoing surgery (P < .0001) and chemotherapy (P = .04). CONCLUSION Patients with gNET treated at an academic hospital had improved median survival after propensity matching and may benefit from treatment at academic rather than community medical centers.
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Affiliation(s)
| | - Johanna Lou
- Department of Surgery, Cooper University Hospital, Camden, NJ, USA
| | - Kathryn Bush
- School of Medicine, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Clara Zhu
- Department of Surgery, Cooper University Hospital, Camden, NJ, USA
| | - Elizabeth Spitz
- Department of Surgery, Cooper University Hospital, Camden, NJ, USA
| | - John P Gaughan
- Department of Surgery, Cooper University Hospital, Camden, NJ, USA
- School of Medicine, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Umur Atabek
- Department of Surgery, Cooper University Hospital, Camden, NJ, USA
- MD Anderson Cancer Center at Cooper University Hospital, Camden NJ, USA
| | - Francis Spitz
- Department of Surgery, Cooper University Hospital, Camden, NJ, USA
- MD Anderson Cancer Center at Cooper University Hospital, Camden NJ, USA
| | - Young K Hong
- Department of Surgery, Cooper University Hospital, Camden, NJ, USA
- MD Anderson Cancer Center at Cooper University Hospital, Camden NJ, USA
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21
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Matsueda K, Uedo N, Kitamura M, Shichijo S, Maekawa A, Kanesaka T, Takeuchi Y, Higashino K, Ishihara R, Michida T, Kawano S, Kawahara Y. Endoscopic features of gastric neuroendocrine carcinoma. J Gastroenterol Hepatol 2023; 38:1808-1817. [PMID: 37527834 DOI: 10.1111/jgh.16309] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/06/2023] [Accepted: 07/10/2023] [Indexed: 08/03/2023]
Abstract
BACKGROUND AND AIM The endoscopic features of gastric neuroendocrine carcinoma (G-NEC) have not been clarified; therefore, they were investigated in relation to clinicopathological findings. METHODS Consecutive patients with G-NECs who had undergone endoscopic or surgical resection at our institution between January 2005 and March 2022 were included in this retrospective study. The endoscopic and clinicopathological findings of the lesions were analyzed to provide information of diagnostic value. In addition, cases of gastric neuroendocrine tumor (G-NET) and common-type gastric adenocarcinoma treated in the same study period were identified to compare the endoscopic findings between each G-NEC versus G-NET, and G-NEC versus common-type gastric adenocarcinoma. Patients with common-type gastric adenocarcinoma were matched for age, sex, tumor size, and depth of tumor invasion in 1:3 ratio. RESULTS Among 15 patients with 15 G-NECs, submucosal tumor-like marginal elevation (87%), adherent white coat (67%), and ulceration with a distinct border (60%) were characteristic endoscopic findings in white-light images. Magnifying narrow-band imaging endoscopy revealed an absent microsurface (MS) pattern plus disrupted irregular microvessel (MV) in five (71%) of seven cases with evaluable MS and MV patterns. The area with an absent MS pattern plus disrupted irregular MV corresponded to the histological finding of NEC component in all five cases. These endoscopic features were all significantly more frequent in G-NECs than G-NETs (n = 22) or common-type gastric adenocarcinomas (n = 45). CONCLUSIONS These endoscopic features should be taken into consideration to increase the index of suspicion and to improve the accuracy of target biopsies for G-NEC.
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Affiliation(s)
- Katsunori Matsueda
- Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan
- Department of Gastroenterology, Okayama University Hospital, Okayama, Japan
| | - Noriya Uedo
- Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Masanori Kitamura
- Department of Diagnostic Pathology and Cytology, Osaka International Cancer Institute, Osaka, Japan
| | - Satoki Shichijo
- Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Akira Maekawa
- Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Takashi Kanesaka
- Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Yoji Takeuchi
- Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Koji Higashino
- Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Ryu Ishihara
- Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Tomoki Michida
- Department of Gastrointestinal Oncology, Osaka International Cancer Institute, Osaka, Japan
| | - Seiji Kawano
- Department of Gastroenterology, Okayama University Hospital, Okayama, Japan
| | - Yoshiro Kawahara
- Department of Practical Gastrointestinal Endoscopy, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
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22
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Li Z, Ren H, Zhang X, Sun C, Fei H, Li Z, Guo C, Shi S, Chen Y, Zhao D. Equivalent Survival between Gastric Large-Cell Neuroendocrine Carcinoma and Gastric Small-Cell Neuroendocrine Carcinoma. J Clin Med 2023; 12:6039. [PMID: 37762979 PMCID: PMC10531653 DOI: 10.3390/jcm12186039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 09/08/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND According to the 2019 World Health Organization (WHO) classification of gastric neuroendocrine neoplasms, gastric neuroendocrine carcinoma (GNEC) can be further divided into gastric large-cell neuroendocrine carcinoma (GLNEC) and gastric small-cell neuroendocrine carcinoma (GSNEC). Whether the prognoses of the two types have a discrepancy has long been disputed. METHOD We collected patients diagnosed with GLNEC or GSNEC in the National Cancer Center of China between January 2000 and December 2020. The characteristics and survival outcomes were compared between the two groups. We further verified our conclusion using the SEER dataset. RESULTS A total of 114 GNEC patients, including 82 patients with GLNEC and 32 patients with GSNEC, have completed treatment in our hospital. Clinicopathologic differences were not observed between patients with GSNEC and GLNEC concerning the sex, age, body mass index, Charlson Comorbidity Index, tumor location, tumor size, stage, treatment received, the expression of neuroendocrine markers (CD56, Chromogranin A, synaptophysin), and score on the Ki-67 index. The 1-year, 3-year, and 5-year overall survival rates of GLNEC and GSNEC were 89.0%, 60.5%, and 52.4%, and 93.8%, 56.3%, and 52.7%, which showed no statistically significant differences. This result was confirmed further by using the SEER dataset after the inverse probability of treatment weighting. CONCLUSIONS Although with different cell morphology, the comparison of prognosis between the GLNEC and GSNEC has no significant statistical difference.
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Affiliation(s)
- Zefeng Li
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
| | - Hu Ren
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
| | - Xiaojie Zhang
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
| | - Chongyuan Sun
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
| | - He Fei
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
| | - Zheng Li
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
| | - Chunguang Guo
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
| | - Susheng Shi
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
| | - Yingtai Chen
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
| | - Dongbing Zhao
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 17 PanjiayuanNanli, Chaoyang District, Beijing 100021, China
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23
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Ikegame K, Hatakeyama K, Terashima M, Sugino T, Aizawa D, Furukawa K, Fujiya K, Tanizawa Y, Bando E, Yamaguchi K. Molecular profiling of gastric neuroendocrine carcinomas. EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2023; 49:106987. [PMID: 37463826 DOI: 10.1016/j.ejso.2023.106987] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 06/05/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023]
Abstract
Gastric neuroendocrine carcinoma (G-NEC) usually has NEC and adenocarcinoma components and is considered to have a common origin in gastric adenocarcinoma because common pathogenic mutations are shared. However, G-NEC without adenocarcinoma also exists, and it may have a different mechanism of tumorigenesis. We aimed to elucidate the tumorigenesis of G-NEC by focusing on the proportion of NEC components. Thirteen patients with G-NEC were included in this study. Comprehensive genetic analysis using whole-exome sequencing was performed. G-NEC without an adenocarcinoma component was defined as pure NEC. TP53 was detected as the most frequent gene mutation (85% of the patients), independent of classification. RB1, KMT2C, LTBP1, and RYR2 mutations were identified in two of three pure NEC patients but were not detected in other G-NEC patients. Pure NEC has different somatic mutation profile than other NECs. This study provides insights into the mechanism of tumorigenesis in G-NEC.
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Affiliation(s)
- Ko Ikegame
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Keiichi Hatakeyama
- Cancer Multiomics Division, Shizuoka Cancer Center Research Institute, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Masanori Terashima
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan.
| | - Takashi Sugino
- Division of Pathology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Daisuke Aizawa
- Division of Pathology, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Kenichiro Furukawa
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Keiichi Fujiya
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Yutaka Tanizawa
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Etsuro Bando
- Division of Gastric Surgery, Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
| | - Ken Yamaguchi
- Shizuoka Cancer Center, 1007 Shimonagakubo, Nagaizumi-cho, Sunto-gun, Shizuoka, 411-8777, Japan
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24
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Massironi S, Gallo C, Elvevi A, Stegagnini M, Coltro LA, Invernizzi P. Incidence and prevalence of gastric neuroendocrine tumors in patients with chronic atrophic autoimmune gastritis. World J Gastrointest Oncol 2023; 15:1451-1460. [PMID: 37663936 PMCID: PMC10473929 DOI: 10.4251/wjgo.v15.i8.1451] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 06/23/2023] [Accepted: 07/07/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND The incidence of type I gastric neuroendocrine neoplasms (gNENs) has increased significantly over the past 50 years. Although autoimmune gastritis (AIG) increases the likelihood of developing gNENs, the exact incidence and prevalence of this association remain unclear. AIM To evaluate the incidence and prevalence of type I gNENs in a cohort of patients with a histological diagnosis of AIG. METHODS Patients with a histological diagnosis of AIG were enrolled between October 2020 and May 2022. Circulating levels of CgA and gastrin were assessed at enrollment. Included patients underwent regular endoscopic follow-up to detect gastric neoplastic lesions, enterochromaffin-like (ECL) cell hyperplasia, and the development of gNEN. RESULTS We included 176 patients [142 women (80.7%), median age 64 years, interquartile range (IQR) 53-71 years] diagnosed with AIG between January 1990 and June 2022. At enrollment. One hundred and sixteen patients (65.9%) had ECL hyperplasia, of whom, 29.5% had simple/linear, 30.7% had micronodular, and 5.7% had macronodular type. The median follow-up time was 5 (3-7.5) years. After 1032 person-years, 33 patients developed a total of 50 type I gNENs, with an incidence rate of 0.057 person-years, corresponding to an annual cumulative incidence of 5.7%. Circulating CgA levels did not significantly differ between AIG patients who developed gNENs and those who did not. Conversely, gastrin levels were significantly higher in AIG patients who developed gNENs [median 992 pg/mL IQR = 449-1500 vs 688 pg/mL IQR = 423-1200, P = 0.03]. Calculated gastrin sensitivity and specificity were 90.9% and 1.4%, respectively, with an overall diagnostic accuracy of 30% and a calculated area under the gastrin receiver operating characteristic curve (AUROC or AUC) of 0.53. CONCLUSION Type I gNENs are a significant complication in AIG. Gastrin's low diagnostic accuracy prevents it from serving as a marker for early diagnosis. Effective strategies for early detection and treatment are needed.
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Affiliation(s)
- Sara Massironi
- Division of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, University of Milano-Bicocca, School of Medicine, Monza 20900, Italy
| | - Camilla Gallo
- Division of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, University of Milano-Bicocca, School of Medicine, Monza 20900, Italy
| | - Alessandra Elvevi
- Division of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, University of Milano-Bicocca, School of Medicine, Monza 20900, Italy
| | - Marta Stegagnini
- Division of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, University of Milano-Bicocca, School of Medicine, Monza 20900, Italy
| | - Lorenzo Andrea Coltro
- Division of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, University of Milano-Bicocca, School of Medicine, Monza 20900, Italy
| | - Pietro Invernizzi
- Division of Gastroenterology, Fondazione IRCCS San Gerardo dei Tintori, University of Milano-Bicocca, School of Medicine, Monza 20900, Italy
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25
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Song X, Xie Y, Lou Y. A novel nomogram and risk stratification system predicting the cancer-specific survival of patients with gastric neuroendocrine carcinoma: a study based on SEER database and external validation. BMC Gastroenterol 2023; 23:238. [PMID: 37452300 PMCID: PMC10347809 DOI: 10.1186/s12876-023-02875-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/07/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Gastric neuroendocrine carcinoma (GNEC) is a rare histology of gastric cancer. The retrospective study was designed to construct and validate a nomogram for predicting the cancer-specific survival (CSS) of postoperative GNEC patients. METHODS Data for 28 patients from the Hangzhou TCM Hospital were identified as the external validation cohort. A total of 1493 patients were included in the SEER database and randomly assigned to the training group (1045 patients) and internal validation group (448 patients). The nomogram was constructed using the findings of univariate and multivariate Cox regression studies. The model was evaluated by consistency index (C-index), calibration plots, and clinical net benefit. Finally, the effect between the nomogram and AJCC staging system was compared by net reclassification index (NRI) and integrated discrimination improvement (IDI). RESULTS Age, gender, grade, T stage, N stage, metastasis, primary site, tumor size, RNE, and chemotherapy were incorporated in the nomogram. The C-indexes were 0.792 and 0.782 in the training and internal verification sets. The 1-, 3-, and 5-year CSS predicted by the nomogram and actual measurements had good agreement in calibration plots. The 1-, 3-, and 5-year NRI were 0.21, 0.29, and 0.37, respectively. The 1-, 3-, and 5-year IDI values were 0.10, 0.12, and 0.13 (P < 0.001), respectively. In 1-, 3-, and 5-year CSS prediction using DCA curves, the nomogram outperformed the AJCC staging system. The nomogram performed well in both the internal and external validation cohorts. CONCLUSION We developed and validated a nomogram to predict 1-, 3-, and 5-year CSS for GNEC patients after surgical resection. This well-performing model could help doctors enhance the treatment plan.
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Affiliation(s)
- Xue Song
- Department of Respiratory and Critical Care Medicine, Hangzhou TCM Hospital, Zhejiang Chinese Medical University, #453, Tiyuchang Road, Xihu District, Hangzhou, 310000, Zhejiang province, China
| | - Yangyang Xie
- Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, 310000, Zhejiang province, China
| | - Yafang Lou
- Department of Respiratory and Critical Care Medicine, Hangzhou TCM Hospital, Zhejiang Chinese Medical University, #453, Tiyuchang Road, Xihu District, Hangzhou, 310000, Zhejiang province, China.
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26
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Zheng X, Wu M, Li S, Er L, Deng H, Guo S, Liu Z. Clinicopathological characteristics of rectal multiple neuroendocrine neoplasms and literature review. BMC Surg 2023; 23:147. [PMID: 37264328 DOI: 10.1186/s12893-023-02050-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/21/2023] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND There are only a few epidemiological reports available for reference. The clinicopathological features are not clear, so there is no consensus on treating rectal multiple neuroendocrine neoplasms. This study aims to summarize the clinicopathological characteristics and preliminarily discuss the clinical diagnosis and treatment of rectal multiple neuroendocrine neoplasms. METHODS This study retrospectively analyzed rectal neuroendocrine neoplasm patients diagnosed and treated at the Fourth Hospital of Hebei Medical University from February 2007 to May 2021. The clinicopathological characteristics of rectal multiple neuroendocrine neoplasms were summarized and analyzed in combination with 14 studies on rectal multiple neuroendocrine neoplasms. RESULTS The incidence of RM-NENs accounted for 3.8% of all R-NENs in this study. The number of tumors varied to some extent, the size of tumors was basically no more than 10 mm, and there were more G1 grade tumors. In the analysis of 46 cases with known lymph node metastasis, the difference in lymph node metastasis rate between the number of tumors < 8 and ≥ 8 was statistically significant (p = 0.002). CONCLUSIONS The incidence of rectal multiple neuroendocrine neoplasms accounted for 3.8% of all rectal neuroendocrine neoplasms. For rectal multiple neuroendocrine neoplasms, the lymph node metastasis rate was higher when the number of tumors was ≥ 8. The influence of the number of tumors on lymph node metastasis should be considered in the selection of treatment.
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Affiliation(s)
- Xiuli Zheng
- Department of Endoscopy, Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang'an District, Shijiazhuang, 050000, Hebei, China
| | - Mingli Wu
- Department of Endoscopy, Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang'an District, Shijiazhuang, 050000, Hebei, China.
| | - Shengmian Li
- Department of Gastroenterology, Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Chang'an District, Shijiazhuang, 050000, Hebei, China
| | - Limian Er
- Department of Endoscopy, Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang'an District, Shijiazhuang, 050000, Hebei, China
| | - Huiyan Deng
- Department of Pathology, Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang'an District, Shijiazhuang, 050000, Hebei, China
| | - Shuo Guo
- Department of Endoscopy, Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang'an District, Shijiazhuang, 050000, Hebei, China
| | - Zhihuan Liu
- Department of Endoscopy, Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Chang'an District, Shijiazhuang, 050000, Hebei, China
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27
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Du D, Xie Y, Li X, Ni Z, Shi J, Huang H. De-escalating chemotherapy for stage I-II gastric neuroendocrine carcinoma? A real-world competing risk analysis. World J Surg Oncol 2023; 21:142. [PMID: 37149679 PMCID: PMC10163728 DOI: 10.1186/s12957-023-03029-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 05/03/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND The role of adjuvant chemotherapy in gastric neuroendocrine neoplasms (GNEC) has not been well clarified yet. The study was designed to investigate the potential effect of adjuvant chemotherapy in stage I-II GNEC patients and construct a predictive nomogram. METHOD Stage I-II GNEC patients were included in the Surveillance, Epidemiology, and End Results (SEER) database and divided into chemotherapy and no-chemotherapy groups. We used Kaplan-Meier survival analyses, propensity score matching (PSM), and competing risk analyses. The predictive nomogram was then built and validated. RESULTS Four hundred four patients with stage I-II GNEC were enrolled from the SEER database while 28 patients from Hangzhou TCM Hospital were identified as the external validation cohort. After PSM, similar 5-year cancer-specific survival was observed in two groups. The outcomes of competing risk analysis indicated a similar 5-year cumulative incidence of cancer-specific death (CSD) between the two cohorts (35.4% vs. 31.4%, p = 0.731). And there was no significant relation between chemotherapy and CSD in the multivariate competing risks regression analysis (HR, 0.79; 95% CI, 0.48-1.31; p = 0.36). Furthermore, based on the variables from the multivariate analysis, a competing event nomogram was created to assess the 1-, 3-, and 5-year risks of CSD. The 1-, 3-, and 5-year area under the receiver operating characteristic curve (AUC) values were 0.770, 0.759, and 0.671 in the training cohort, 0.809, 0.782, and 0.735 in the internal validation cohort, 0.786, 0.856, and 0.770 in the external validation cohort. Furthermore, calibration curves revealed that the expected and actual probabilities of CSD were relatively consistent. CONCLUSION Stage I-II GNEC patients could not benefit from adjuvant chemotherapy after surgery. De-escalation of chemotherapy should be considered for stage I-II GNEC patients. The proposed nomogram exhibited excellent prediction ability.
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Affiliation(s)
- Danwei Du
- Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Zhejiang Province, Hangzhou, 310000, China
| | - Yangyang Xie
- Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Zhejiang Province, Hangzhou, 310000, China
| | - Xiaowen Li
- Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Zhejiang Province, Hangzhou, 310000, China
| | - Zhongkai Ni
- Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Zhejiang Province, Hangzhou, 310000, China
| | - Jinbo Shi
- Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Zhejiang Province, Hangzhou, 310000, China
| | - Hai Huang
- Department of General Surgery, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Zhejiang Province, Hangzhou, 310000, China.
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Laffi A, Lania AGA, Ragni A, Di Vito V, Liccardi A, Rubino M, Sesti F, Colao A, Faggiano A. Gastric Neuroendocrine Tumors (g-NETs): A Systematic Review of the Management and Outcomes of Type 3 g-NETs. Cancers (Basel) 2023; 15:cancers15082202. [PMID: 37190131 DOI: 10.3390/cancers15082202] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 05/17/2023] Open
Abstract
PURPOSE to collect data from real-life experiences of the management of type 3 g-NETs and identify possible prognostic factors that may impact the decision-making process. METHODS We performed a systematic review of the literature on type 3 g-NET management using the PubMed, MEDLINE, and Embase databases. We included cohort studies, case series, and case reports written in the English language. RESULTS We selected 31 out of 556 articles from between 2001 and 2022. In 2 out of the 31 studies, a 10 mm and 20 mm cut-off size were respectively associated with a higher risk of gastric wall infiltration and/or lymph node and distant metastasis at diagnosis. The selected studies reported a higher risk of lymph node or distant metastasis at diagnosis in the case of muscularis propria infiltration or beyond, irrespective of the dimensions or grading. From these findings, size, grading, and gastric wall infiltration seem to be the most relevant factors in management staff making choices and prognoses of type 3 g-NET patients. We produced a hypothetical flowchart for a standardized approach to these rare diseases. CONCLUSION Further prospective analyses are needed to validate the prognostic impact of the use of size, grading, and gastric wall infiltration as prognostic factors in the management of type 3 g-NETs.
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Affiliation(s)
- Alice Laffi
- Hematology and Oncology, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Andrea Gerardo Antonio Lania
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20072 Milan, Italy
- Endocrinology, Diabetology and Medical Andrology Unit, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Alberto Ragni
- Endocrinologia e Malattie Metaboliche, AO SS Antonio e Biagio e Cesare Arrigo, Via Venezia, 16, 15121 Alessandria, Italy
| | - Valentina Di Vito
- Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy
| | - Alessia Liccardi
- Operative Unit of Endocrinology, Department of Clinical Medicine and Surgery, Andrology and Diabetology, Federico II University of Naples, 80131 Naples, Italy
| | - Manila Rubino
- Servizio di Endocrinologia Oncologica, European Institute of Oncology, IEO, IRCCS, Via Ripamonti 435, 20141 Milan, Italy
| | - Franz Sesti
- Department of Experimental Medicine, "Sapienza" University of Rome, 00161 Rome, Italy
| | - Annamaria Colao
- Endocrinology Unit, Department of Clinical Medicine and Surgery, University Federico II, 80126 Naples, Italy
- UNESCO "Education for Health and Sustainable Development", Federico II University, 80131 Naples, Italy
| | - Antongiulio Faggiano
- Endocrinology Unit, Department of Clinical and Molecular Medicine, Sant'Andrea Hospital, ENETS Center of Excellence, Sapienza University of Rome, 00185 Rome, Italy
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Factors Predicting Type I Gastric Neuroendocrine Neoplasia Recurrence: A Single-Center Study. Biomedicines 2023; 11:biomedicines11030828. [PMID: 36979807 PMCID: PMC10045191 DOI: 10.3390/biomedicines11030828] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/01/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
Type I gastric neuroendocrine neoplasms (gNENs) are associated with atrophic gastritis and have a high recurrence rate, which means frequent endoscopies are required. The objective of this study was to identify factors predicting the local recurrence of type I gNENs. The clinical course and the pathological and biochemical data of patients with type I gNENs treated at Bnai Zion Medical Center between 2006 and 2022 were analyzed retrospectively. Twenty-seven type I gNENs were evaluated. The follow-up period was 41 months (range: 11–288 months). Recurrence of the tumor occurred in 13/27 (48%) patients after 35 months (median (M), interquartile range (IQR): 21–67.5). Serum gastrin levels were significantly higher in patients with recurrent disease versus patients with non-recurrent disease (788 vs. 394 ng/L; p = 0.047), while the Ki-67 index was significantly lower in patients with recurrent disease versus patients with non-recurrent disease (1% vs. 3.5%; p = 0.035). Tumor size, mitotic count, and serum chromogranin A levels did not correlate with recurrence. The present study emphasizes the role of gastrin in the pathogenesis of gNEN recurrence and highlights the debate regarding the ability of the Ki-67 index to predict the clinical course of this disease.
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Zhang R, Guo Y, Wang Y, Hu L, Fang C, Yang Y, Yang X, Chen L, Chen J, Wang W, Sun X. Novel staging for gastric neuroendocrine neoplasms by incorporating the
WHO
grading into the
TNM
staging system. Cancer Med 2022; 12:6623-6636. [PMID: 36394081 PMCID: PMC10067116 DOI: 10.1002/cam4.5437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 10/16/2022] [Accepted: 11/01/2022] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The 8th tumor-node-metastasis (TNM) classification of the American Joint Committee on Cancer (AJCC) can be used to estimate the prognosis of gastric neuroendocrine tumor (gNET) and gastric neuroendocrine carcinoma (gNEC) patients but not gastric neuroendocrine neoplasms (gNENs). METHODS First, in the SEER (training) dataset, a TNMG system was built by combining the WHO G grade (G1-4; NEC grouped into G4) with the 8th AJCC T (T1-4), N (N0-1), and M (M0-1) stage, which was then validated in a Chinese (validation) cohort. RESULTS In all, 2245 gNENs cases from the training dataset and 280 cases from the validation dataset were eligible. The T stage, M stage, and G grade were independent prognostic factors for OS in both datasets (all p < 0.05). The TNMG staging system demonstrated better C-index for predicting OS than the 8th AJCC TNM staging system in both the training (0.87, 95%CI: 0.86-0.88 vs. 0.79, 95%CI: 0.77-0.81) and validation (0.77, 95%CI: 0.73-0.80 vs. 0.75, 95%CI: 0.71-0.79) datasets. The AUC of the 3-year OS for the TNMG staging system was 0.936 and 0.817 in the SEER and validation dataset, respectively; higher than those of the 8th AJCC system (vs. 0.843 and 0.779, respectively). DCA revealed that compared with the 8th AJCC TNM staging system, the TNMG staging system demonstrated superior net prognostic benefit in both the training and validation datasets. CONCLUSIONS The proposed TNMG staging system could more accurately predict the 3- and 5-year OS rate of gNENs patients than the 8th AJCC TNM staging system.
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Affiliation(s)
- Rihong Zhang
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou Guangdong P. R. China
| | - Yu Guo
- Department of Gastroenterology The First Affiliated Hospital of Sun Yat‐sen University Guangzhou Guangdong P. R. China
| | - Youliang Wang
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou Guangdong P. R. China
| | - Li Hu
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou Guangdong P. R. China
| | - Cheng Fang
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou Guangdong P. R. China
| | - Yujie Yang
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou Guangdong P. R. China
| | - Xianqi Yang
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou Guangdong P. R. China
| | - Luohai Chen
- Department of Gastroenterology The First Affiliated Hospital of Sun Yat‐sen University Guangzhou Guangdong P. R. China
| | - Jie Chen
- Department of Gastroenterology The First Affiliated Hospital of Sun Yat‐sen University Guangzhou Guangdong P. R. China
| | - Wei Wang
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou Guangdong P. R. China
| | - Xiaowei Sun
- Department of Gastric Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine Sun Yat‐sen University Cancer Center Guangzhou Guangdong P. R. China
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Cheng Y, Zhang X, Zhou X, Xu K, Lin M, Huang Q. Differences in clinicopathology and prognosis between gastroesophageal junctional and gastric non-cardiac neuroendocrine carcinomas: a retrospective comparison study of consecutive 56 cases from a single institution in China. Am J Cancer Res 2022; 12:4737-4750. [PMID: 36381336 PMCID: PMC9641387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 10/12/2022] [Indexed: 06/16/2023] Open
Abstract
Gastric neuroendocrine carcinoma (NEC), including mixed neuroendocrine-non-neuroendocrine neoplasm (MiNEN), is uncommon and differences in clinicopathological features and outcomes of NEC arising in various gastric regions remain elusive. We investigated 56 consecutive NECs identified among 3961 gastrectomies performed at our center between 2005 and 2021. We then compared clinicopathological characteristics and prognosis between gastroesophageal junctional (GEJ) NECs (N=39) and gastric non-cardiac NECs (N=17). No significant difference was found between the two groups in age, gender, tumor size, mixed non-neuroendocrine carcinoma component, MiNEN, NEC type, metastatic NEC component in lymph nodes, tumor infiltrating lymphocyte, lymph node metastasis, lymphovascular or perineural invasion, intestinal metaplasia in adjacent non-neoplastic mucosa, and expression of P53, PD-L1, TTF-1, HER2, and Ki-67. However, compared to gastric non-cardiac NECs, GEJ NECs displayed a significantly higher frequency of prevalence (2.79% versus 0.66%), pT3-T4 (92.3% versus 64.7%), advanced pathological stage (IIb-IV) (76.9% versus 47.1%), and a significantly lower 5-year overall survival rate (46.1% versus 73.1%) (P<0.05). The GEJ location was the only independent risk factor for overall survival. In stage-stratified comparisons, patients with stage II GEJ NEC demonstrated a significantly lower 5-year survival rate than those with gastric non-cardiac NEC at the same stage. Compared to non-NECs matched for age, gender, tumor location, and pathological summary stage, GEJ NEC was associated with significantly worse prognosis. In conclusion, GEJ NEC showed deeper invasion, more advanced pathological stages, and worse prognosis than gastric non-cardiac NEC. The findings provide pathologic evidence for individualized management strategies for patients with GEJ NEC. Future studies with larger samples are needed.
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Affiliation(s)
- Yuqing Cheng
- Department of Pathology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical UniversityChangzhou, Jiangsu, China
| | - Xinwen Zhang
- Department of Pathology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical UniversityChangzhou, Jiangsu, China
- Graduate School of Dalian Medical UniversityDalian, Liaoning, China
| | - Xiaoli Zhou
- Department of Pathology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical UniversityChangzhou, Jiangsu, China
| | - Kequn Xu
- Department of Oncology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical UniversityChangzhou, Jiangsu, China
| | - Min Lin
- Department of Gastroenterology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical UniversityChangzhou, Jiangsu, China
| | - Qin Huang
- Department of Pathology, The Affiliated Changzhou No. 2 People’s Hospital of Nanjing Medical UniversityChangzhou, Jiangsu, China
- Department of Pathology and Laboratory Medicine, Veterans Affairs Boston Healthcare System, Harvard Medical School and Brigham and Women’s HospitalBoston, Massachusetts, USA
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Li Z, Ren H, Wang T, Zhang X, Zhao L, Sun C, Niu P, Guo C, Chen Y, Zhao D. Resection of the Primary Tumor Improves the Survival of Patients With Stage IV Gastric Neuroendocrine Carcinoma. Front Oncol 2022; 12:930491. [PMID: 35912176 PMCID: PMC9329560 DOI: 10.3389/fonc.2022.930491] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 06/13/2022] [Indexed: 11/25/2022] Open
Abstract
Background The prognostic prolongation effect of surgical resection in the management of gastric neuroendocrine carcinoma (GNEC) with distant metastases was still uncertain. The purpose of this study was to investigate the association of primary tumor resection (PTR) with outcomes in patients with stage IV GNEC. Methods This retrospective study analyzed patients with distant metastatic GNEC diagnosed between 2000 and 2018 and identified using the Surveillance, Epidemiology, and End Results (SEER) database. Patients were divided into PTR and non-PTR groups. The stabilized inverse probability of treatment weighting (IPTW) method was used to reduce the selection bias. Overall survival (OS) and cancer-specific survival (CSS) were estimated using the Kaplan-Meier method and log-rank test. Cox-regression analyses (uni- and multivariate) were performed to evaluate factors potentially influencing survival. Results A total of 126 patients with a median follow-up of 79 months were identified. Forty-four patients underwent PTR and 82 patients did not undergo surgery. After the IPTW approach, PTR improved the OS in patients with stage IV GNEC (median OS 12 vs. 6 months, P = 0.010). The 1- and 3-year OS for patients with or without PTR were 43.8% and 34.5%, and 27.9% and 6.5%, respectively. The median CSS was 12 months for patients undergoing PTR and 6 months for those who did not. The 1 and 3-year CSS for patients with or without PTR were 45.1% and 37.0%, and 27.9% and 6.5%, respectively. In IPTW-adjusted Cox proportional hazards regression analysis, PTR was recognized as an independent factor for improved survival after the occurrence of distant metastatic disease [OS: hazard ratio (HR) = 0.305; 95% confidence interval (CI): 0.196, 0.475; and CSS: HR = 0.278; 95% CI: 0.171, 0.452]. Conclusion PTR for stage IV GNEC contributes to a better prognosis compared with non-surgery. This study supported the resection of the primary tumor in patients with distant metastatic GNEC.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Yingtai Chen
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongbing Zhao
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Establishment and Validation for Predicting the Lymph Node Metastasis in Early Gastric Adenocarcinoma. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:8399822. [PMID: 35812896 PMCID: PMC9259240 DOI: 10.1155/2022/8399822] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 05/26/2022] [Accepted: 06/06/2022] [Indexed: 12/24/2022]
Abstract
Lymph node metastasis (LNM) is considered to be one of the important factors in determining the optimal treatment for early gastric cancer (EGC). This study aimed to develop and validate a nomogram to predict LNM in patients with EGC. A total of 842 cases from the Surveillance, Epidemiology, and End Results (SEER) database were divided into training and testing sets with a ratio of 6 : 4 for model development. Clinical data (494 patients) from the hospital were used for external validation. Univariate and multivariate logistic regression analyses were used to identify the predictors using the training set. Logistic regression, LASSO regression, ridge regression, and elastic-net regression methods were used to construct the model. The performance of the model was quantified by calculating the area under the receiver operating characteristic curve (AUC) with 95% confidence intervals (CIs). Results showed that T stage, tumor size, and tumor grade were independent predictors of LNM in EGC patients. The AUC of the logistic regression model was 0.766 (95% CI, 0.709-0.823), which was slightly higher than that of the other models. However, the AUC of the logistic regression model in external validation was 0.625 (95% CI, 0.537-0.678). A nomogram was drawn to predict LNM in EGC patients based on the logistic regression model. Further validation based on gender, age, and grade indicated that the logistic regression predictive model had good adaptability to the population with grade III tumors, with an AUC of 0.803 (95% CI, 0.606-0.999). Our nomogram showed a good predictive ability and may provide a tool for clinicians to predict LNM in EGC patients.
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Better Prognosis of Gastric Neuroendocrine Carcinoma Than Gastric Adenocarcinoma among Whites in the United States: A Propensity Score Matching Analysis Based on SEER. Curr Oncol 2022; 29:4879-4892. [PMID: 35877247 PMCID: PMC9323980 DOI: 10.3390/curroncol29070387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/06/2022] [Accepted: 07/07/2022] [Indexed: 11/16/2022] Open
Abstract
It was generally believed that the prognosis of gastric neuroendocrine carcinoma (GNEC) was worse than gastric adenocarcinoma (GAC). However, almost all previous studies compared the prognosis of GNEC and GAC based on East Asians. In this study, we evaluated the clinicopathological features and prognosis of GNEC and GAC in Whites. Patients with GNEC and GAC were identified from 2000 to 2018 in the Surveillance, Epidemiology, and End Results (SEER) database. We used propensity score matching (PSM) analysis to match the age, sex, TNM stage, and treatments received between GNEC and GAC, then compared the overall survival (OS) and cancer-specific survival (CSS) in the two types. A total of 392 cases of GNEC and 12,835 cases of GAC in Whites were recognized. After PSM, the 5-year OS rates of GNEC and GAC were 50.3% and 43.0%, respectively (p = 0.010). The 5-year CSS rates of GNEC and GAC were 57.4% and 50.1%, respectively (p = 0.012). Besides, multivariable cox regression analyses showed that GNEC was an independent predictor of improved OS (HR 0.719; 95% CI 0.607–0.853) and CSS (HR 0.691; 95% CI 0.571–0.835) in the matched data. The prognosis of GNEC was better than GAC in Whites, showing significant ethnic differences. Appropriate treatments and follow-up strategies for GNEC in Whites are probably different from East Asians. The potential genetic and molecular mechanisms need to be further explored.
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Xu Y, Yan L, Chen T, Hu P, Bai J, Ye T, Long Q, Tang Q. Prognosis of patients with poorly differentiated gastric neuroendocrine neoplasms: a multi-center study in China. Future Oncol 2022; 18:2465-2473. [PMID: 35730464 DOI: 10.2217/fon-2022-0140] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background: The incidence of poorly differentiated gastric neuroendocrine neoplasms (G-NENs) has been increasing during the past decades. Methods: A total of 183 patients diagnosed with poorly differentiated G-NENs were enrolled from eight hospitals during 2010-2019 in China. All cases included have accepted abdominal surgery in tertiary hospitals. Result: T3 (HR: 2.66, p = 0.019), T4 (HR: 3.62, p = 0.005), stage IV (HR: 5.67, p < 0.001), vascular invasion (HR: 1.59, p = 0.048) were independent risk factors for poor prognosis of poorly differentiated G-NENs. In stratified analysis, for patients with stage III tumors, those treated with chemotherapy had significantly longer survival than those accepting surgery alone. Conclusion: T3/T4 stage, TNM stage IV and vascular invasion were independent negative prognostic factors for patients with poorly differentiated G-NENs. Patients with stage III tumors can benefit from chemotherapy. Highly selected patients with stage IV tumors may also benefit from surgery.
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Affiliation(s)
- Yanling Xu
- Department of Geriatric gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 210029.,Department of General Practice, The First Affiliated Hospital of Nanjing Medical University, 210029
| | - Lijun Yan
- Department of Geriatric gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 210029
| | - Tiaotiao Chen
- Department of Geriatric gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 210029
| | - Ping Hu
- Department of Geriatric gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 210029.,Neuroendocrine Tumor Diagnosis & Treatment Center of Jiangsu Province, 210029
| | - Jianan Bai
- Department of Geriatric gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 210029.,Neuroendocrine Tumor Diagnosis & Treatment Center of Jiangsu Province, 210029
| | - Tian Ye
- Department of Geriatric gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 210029.,Neuroendocrine Tumor Diagnosis & Treatment Center of Jiangsu Province, 210029
| | - Qin Long
- Department of Geriatric gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 210029.,Neuroendocrine Tumor Diagnosis & Treatment Center of Jiangsu Province, 210029
| | - Qiyun Tang
- Department of Geriatric gastroenterology, The First Affiliated Hospital of Nanjing Medical University, 210029.,Neuroendocrine Tumor Diagnosis & Treatment Center of Jiangsu Province, 210029
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Abstract
Purpose of Review Gastric neuroendocrine neoplasms (g-NENs) are a rare type of stomach cancer. The three main subtypes have different pathogeneses, biological behaviours and clinical characteristics, so they require different management strategies. This article will provide an overview of g-NENs and highlight recent advances in the field. Recent Findings Molecular profiling has revealed differences between indolent and aggressive g-NENs, as well as a new somatic mutation responsible for some familial type I g-NENs. Novel biomarkers have been developed which will hopefully improve diagnosis, treatment, risk stratification and follow-up. Patient treatment is also changing, as evidence supports the use of less aggressive options (e.g. endoscopic surveillance or resection) in some patients with more indolent tumours. Summary g-NEN heterogeneity poses challenges in understanding and managing this rare disease. More basic science research is needed to investigate molecular pathogenesis, and future larger clinical studies will hopefully also further improve treatment and patient outcomes.
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Xu B, Chu Y, Hu Q, Song Q. The Clinicopathological Features and Overall Survival of Patients With Gastric Neuroendocrine Carcinoma. Technol Cancer Res Treat 2021; 20:15330338211055340. [PMID: 34806493 PMCID: PMC8606720 DOI: 10.1177/15330338211055340] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
OBJECTIVES Gastric neuroendocrine carcinoma (GNEC) is a class of rare histological subtypes in gastric cancer (GC). This retrospective case-control study aimed to explore the clinicopathological features and overall survival (OS) of patients with GNEC. METHODS A large population of GNEC and intestinal-type GC (IGC) patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The 1:1 propensity score matching (PSM) analysis was initiated to adjust the confounders between GNEC and IGC cohorts. Kaplan-Meier (KM) plots with log-rank tests were used to compare the survival differences in GNEC versus IGC. Additionally, Cox proportional hazard regression models were adopted to characterize the prognostic factors relevant to OS of the GNEC patients. RESULTS An entity of 4596 patients were collected, including 3943 (85.8%) IGC patients and 653 (14.2%) GNEC patients. The PSM analysis well-balanced all confounders in GNEC versus IGC (all P > .05). The KM plots showed that GNEC had significantly superior OS to IGC both before and after PSM analysis. Before PSM, the median OS was 52 (33.6-70.4) months in GNEC versus 32 (29.3-34.7) months in IGC (P = .0015). After PSM, the median OS was 26 (18.3-33.7) months in GNEC versus 21 (17.7-24.3) months in IGC (P = .0039). Stratified analysis indicated that GNEC had superior survivals to IGC in early stage patients and those who received surgery. In Cox regression analysis, age ≥ 60, tumor size > 50 mm, stage II-IV, T2, and N3 were independent risk factors for the GNEC patients (hazard ratio [HR]>1, P < .05). By contrast, year 2010 to 2015, female, and surgery were independent protective factors for these patients (HR < 1, P < .05). CONCLUSIONS GNEC has unique clinicopathological features quite different from IGC and may have a superior survival to IGC in early stage patients. The prognostic factors identified here may assist the clinicians to more individually treat these patients.
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Affiliation(s)
- Bin Xu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yuxin Chu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qinyong Hu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qibin Song
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
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Shi M, Fan Z, Xu J, Yang J, Li Y, Gao C, Su P, Wang X, Zhan H. Gastroenteropancreatic neuroendocrine neoplasms G3: Novel insights and unmet needs. Biochim Biophys Acta Rev Cancer 2021; 1876:188637. [PMID: 34678439 DOI: 10.1016/j.bbcan.2021.188637] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/30/2021] [Accepted: 10/14/2021] [Indexed: 12/12/2022]
Abstract
According to the 2019 WHO pathology grading system, high-grade gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) can be divided into well differentiated neuroendocrine tumors G3 (NETs G3) and poorly differentiated neuroendocrine carcinomas (NECs). GEP-NETs G3 and GEP-NECs present significant differences in driver genes and disease origin. NETs G3 and NECs have been confirmed to be two distinct diseases with different genetic backgrounds, however, this issue remains controversial. The prognosis of NETs G3 is significantly better than that of NECs. The differential diagnosis of GEP-NETs G3 and GEP-NECs should be combined with the patient's medical history, tumor histopathology, Ki-67 index, DAXX/ATRX, TP53 and Rb expression as well as other immunohistochemical indicators. In addition, the treatment strategies of these two subgroups are very different. Here, we summarize recent findings focused on the genomics, clinical manifestations, diagnosis, treatment and other aspects of high-grade GEP-NENs (G3). This review may help further our understanding of the carcinogenesis, diagnosis and treatment of GEP-NENs G3.
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Affiliation(s)
- Ming Shi
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan 250012, China
| | - Zhiyao Fan
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan 250012, China
| | - Jianwei Xu
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan 250012, China
| | - Jian Yang
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan 250012, China
| | - Yongzheng Li
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan 250012, China
| | - Changhao Gao
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan 250012, China
| | - Peng Su
- Department of Pathology, Qilu Hospital, Shandong University, Jinan 250012, China
| | - Xiao Wang
- Department of Pathology, Qilu Hospital, Shandong University, Jinan 250012, China
| | - Hanxiang Zhan
- Division of Pancreatic Surgery, Department of General Surgery, Qilu Hospital, Shandong University, Jinan 250012, China.
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Köseoğlu H, Duzenli T, Sezikli M. Gastric neuroendocrine neoplasms: A review. World J Clin Cases 2021; 9:7973-7985. [PMID: 34621854 PMCID: PMC8462212 DOI: 10.12998/wjcc.v9.i27.7973] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 05/19/2021] [Accepted: 08/18/2021] [Indexed: 02/06/2023] Open
Abstract
Gastric neuroendocrine neoplasms (g-NENs) or neuroendocrine tumors are generally slow-growing tumors with increasing incidence. They arise from enterochromaffin like cells and are divided into four types according to clinical characteristic features. Type 1 and 2 are gastrin dependent, whereas type 3 and 4 are sporadic. The reason for hypergastrinemia is atrophic gastritis in type 1, and gastrin releasing tumor (gastrinoma) in type 2 g-NEN. The diagnosis of g-NENs needs histopathological investigation taken by upper gastrointestinal endoscopy. g-NENs are positively stained with chomogranin A and synaptophysin. Grading is made with mitotic index and ki-67 proliferation index on histopathological analysis. It is crucial to discriminate between types of g-NENs, because the management, treatment and prognosis differ significantly between subtypes. Treatment options for g-NENs include endoscopic resection, surgical resection with or without antrectomy, medical treatment with somatostatin analogues, netazepide or chemotherapy regimens. Follow-up without excision is another option in appropriate cases. The prognosis of type 1 and 2 g-NENs are good, whereas the prognosis of type 3 and 4 g-NENs are close to the prognosis of gastric adenocancer.
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Affiliation(s)
- Hüseyin Köseoğlu
- Department of Gastroenterology, Hitit University, Faculty of Medicine, Çorum 19200, Turkey
| | - Tolga Duzenli
- Department of Gastroenterology, Hitit University Erol Olçok Education and Research Hospital, Çorum 19200, Turkey
| | - Mesut Sezikli
- Department of Gastroenterology, Hitit University, Faculty of Medicine, Çorum 19200, Turkey
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Yu Y, Wu S, Xing H, Han M, Li J, Liu Y. Development and Validation of a Novel Model for Predicting Prognosis of Non-PCR Patients After Neoadjuvant Therapy for Breast Cancer. Front Oncol 2021; 11:675533. [PMID: 34540660 PMCID: PMC8440922 DOI: 10.3389/fonc.2021.675533] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 08/09/2021] [Indexed: 12/31/2022] Open
Abstract
Purpose Pathologic complete response (pCR) after neoadjuvant therapy is an important indicator of long-term prognosis and the primary endpoint of many neoadjuvant studies. For breast cancer patients who do not achieve pCR, prognostic indicators related to prognosis are particularly important. This study is constructing a prediction model with more accurate and reliable prediction results by combining multiple clinicopathological factors, so as to provide a more accurate decision-making basis for subsequent clinical treatment. Patients and Methods In this study, 1,009 cases of invasive breast cancer and surgically resected after neoadjuvant therapy from 2010 to 2017. All indicators in this trial were interpreted in a double-blind manner by two pathologists with at least 10 years of experience, including histological grading, Tils, ER, PR, HER2, and Ki67. The prediction model used R language to calculate the calibration degree and ROC curve of the prediction model in the training set and validation set. Results Through univariate survival analysis, the results showed histological grade (P=0.037), clinical stage (P<0.001), HER2 (P=0.044), RCB class (P<0.001), Tils (P<0.001), lymph node status (P =0.049), MP grade (P=0.013) are related to OS in non-PCR patients after neoadjuvant. Data were analyzed by substituting in a multivariate analysis, and the results were that clinical stage, HER2, RCB grading, and Tils grading were correlated with OS in non-PCR patients after neoadjuvant therapy for breast cancer. Among all cases in the training set, the prediction model predicted that the 3-year survival AUC value was 0.95 and 5-year survival AUC value was 0.79, and the RCB classification of 3-year survival and 5-year survival were 0.70 and 0.67, respectively, which proved that the prediction model could predict the OS of non-PCR patients after neoadjuvant therapy for breast cancer more accurately than the RCB classification, and showed the same results in HR, HER2+, and TN classifications. It also showed the same results in validation set. Conclusion These data indicate that the predicted values of the prediction model developed in this study match the actual survival rates without underestimating the mortality risk and have a relatively accurate prediction effect.
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Affiliation(s)
- Yongqiang Yu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Si Wu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hui Xing
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Mengxue Han
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jinze Li
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yueping Liu
- Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Wang M, Ren X, Wang G, Sun X, Tang S, Zhang B, Xing X, Zhang W, Gao G, Du J, Zhang S, Liu L, Zheng X, Zhang Z, Sun C. Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on "SEER database": a multicenter study. BMC Cancer 2021; 21:999. [PMID: 34493229 PMCID: PMC8424798 DOI: 10.1186/s12885-021-08742-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 08/26/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There are differences in survival between high-and low-grade Upper Tract Urothelial Carcinoma (UTUC). Our study aimed to develop a nomogram to predict overall survival (OS) of patients with high- and low-grade UTUC after tumor resection, and to explore the difference between high- and low-grade patients. METHODS Patients confirmed to have UTUC between 2004 and 2015 were selected from the Surveillance, Epidemiology and End Results (SEER) database. The UTUCs were identified and classified as high- and low-grade, and 1-, 3- and 5-year nomograms were established. The nomogram was then validated using the Chinese multicenter dataset (patients diagnosed in Shandong, China between January 2010 and October 2020). RESULTS In the high-grade UTUC patients, nine important factors related to survival after tumor resection were identified to construct nomogram. The C index of training dataset was 0.740 (95% confidence interval [CI]: 0.727-0.754), showing good calibration. The C index of internal validation dataset was 0.729(95% CI:0.707-0.750). On the other hand, Two independent predictors were identified to construct nomogram of low-grade UTUC. The C index was 0.714 (95% CI: 0.671-0.758) for the training set,0.731(95% CI:0.670-0.791) for the internal validation dataset. Encouragingly, the nomogram was clinically useful and had a good discriminative ability to identify patients at high risk. CONCLUSION We constructed a nomogram and a corresponding risk classification system predicting the OS of patients with an initial diagnosis of high-and low-grade UTUC.
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Affiliation(s)
- Mengmeng Wang
- Clinical Medical Colleges, Weifang Medical University, Weifang, 261000 China
| | - Xin Ren
- Clinical Medical Colleges, Weifang Medical University, Weifang, 261000 China
| | - Ge Wang
- Clinical Medical Colleges, Weifang Medical University, Weifang, 261000 China
| | - Xiaomin Sun
- Clinical Medical Colleges, Weifang Medical University, Weifang, 261000 China
| | - Shifeng Tang
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, 261000 Shandong China
| | - Baogang Zhang
- Department of Pathology, Weifang Medical University, Weifang, 261053 China
| | - Xiaoming Xing
- Department of Pathology, Affiliated Hospital of Qingdao University, Qingdao, 266555 China
| | - Wenfeng Zhang
- Clinical Medical Colleges, Weifang Medical University, Weifang, 261000 China
| | - Guojun Gao
- Department of Urology, The Affiliated Hospital of Weifang Medical College, Weifang, 261000 China
| | - Jing Du
- Department of Urology, Weifang Traditional Chinese Hospital, Weifang, 261000 China
| | - Shukun Zhang
- Department of Pathology, Shandong University,Weihai Municipal Hospital, Cheeloo College of Medicine, Weihai, 264200 China
| | - Lijuan Liu
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, 261000 Shandong China
| | - Xia Zheng
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, 261000 Shandong China
| | - Zhenkun Zhang
- Department of Oncology, ShouGuang People’s Hospital, Weifang, 262700 China
| | - Changgang Sun
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, 261000 Shandong China
- Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao, 266112 Shandong People’s Republic of China
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Zhu X, Pigazzi A, Zell J, Lu Y. Changing Disparity of Gastric Cancer Incidence by Histological Types in US Race-Specific Populations. Cancer Control 2021; 27:1073274820977152. [PMID: 33297759 PMCID: PMC8480345 DOI: 10.1177/1073274820977152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background: The incidence pattern of gastric cancer by histological types across major race/ethnic groups is unknown. Methods: Age-standardized rates from 1992-2016 by race/ethnicity were calculated using data from Surveillance, Epidemiology, and End Results Program (SEER). Annual percent changes (APCs) in rates and corresponding 95% confidence intervals (CIs) were calculated and pairwise comparison of rates between race/ethnic groups was performed using the Joinpoint Regression Program. Calendar periods of incidence rates of gastric cardia and non-cardia cancer by histological types across race/ethnicity groups were shown by figures. Results: The White population has the highest incidence of gastric cardia adenocarcinoma and the incidence is keeping constant from 1992 through 2016 except the decreasing in the Asian population (AAPC = −1.4, 95%CI (−2.1, −0.8)). Although the incidence of non-cardia adenocarcinoma is decreasing in each group, the descending trend in the Asian population is the quickest (AAPC = −3.8, 95%CI (−4.0, −3.5)). Gastric carcinoids were observed to have statistically significant increasing trends in all race/ethnicity groups, especially in Hispanic women from 0.4 per 100,000 to 1.6 per 100,000 persons. The incidence of gastrointestinal stromal tumors (GISTs) is rising, with Non-Hispanic blacks having the highest incidence. Conclusion: This study demonstrated disparities in the incidence of gastric cancer by histological types among different race/ethnic groups. Further investigations are warranted to understand the changing incidence patterns by race/ethnicity.
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Affiliation(s)
- Xuan Zhu
- Department of Population Health and Disease Prevention, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, CA, USA
| | - Alessio Pigazzi
- School of Medicine, University of California, Irvine, CA, USA.,Department of Surgery, Weill Cornell Medical College New York Presbyterian Hospital, New York, NY, USA
| | - Jason Zell
- School of Medicine, University of California, Irvine, CA, USA
| | - Yunxia Lu
- Department of Population Health and Disease Prevention, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Irvine, CA, USA.,Department of Molecular Medicine and Surgery, Karolinska Insitutet, Stockholm, Sweden
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Mo H, Li P, Jiang S. A novel nomogram based on cardia invasion and chemotherapy to predict postoperative overall survival of gastric cancer patients. World J Surg Oncol 2021; 19:256. [PMID: 34454511 PMCID: PMC8403379 DOI: 10.1186/s12957-021-02366-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 08/10/2021] [Indexed: 12/24/2022] Open
Abstract
Background We aimed to establish and externally validate a nomogram to predict the 3- and 5-year overall survival (OS) of gastric cancer (GC) patients after surgical resection. Methods A total of 6543 patients diagnosed with primary GC during 2004–2016 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. We grouped patients diagnosed during 2004–2012 into a training set (n = 4528) and those diagnosed during 2013–2016 into an external validation set (n = 2015). A nomogram was constructed after univariate and multivariate analysis. Performance was evaluated by Harrell’s C-index, area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA), and calibration plot. Results The multivariate analysis identified age, race, location, tumor size, T stage, N stage, M stage, and chemotherapy as independent prognostic factors. In multivariate analysis, the hazard ratio (HR) of non-cardia invasion was 0.762 (P < 0.001) and that of chemotherapy was 0.556 (P < 0.001). Our nomogram was found to exhibit excellent discrimination: in the training set, Harrell’s C-index was superior to that of the 8th American Joint Committee on Cancer (AJCC) TNM classification (0.736 vs 0.699, P < 0.001); the C-index was also better in the validation set (0.748 vs 0.707, P < 0.001). The AUCs for 3- and 5-year OS were 0.806 and 0.815 in the training set and 0.775 and 0.783 in the validation set, respectively. The DCA and calibration plot of the model also shows good performance. Conclusions We established a well-designed nomogram to accurately predict the OS of primary GC patients after surgical resection. We also further confirmed the prognostic value of cardia invasion and chemotherapy in predicting the survival rate of GC patients.
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Affiliation(s)
- Hanjun Mo
- Department of General Practice, Zhongshan Hospital, Fudan University, 111 Yixueyuan Road, Shanghai, 200032, China
| | - Pengfei Li
- Department of General Surgery, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China
| | - Sunfang Jiang
- Department of General Practice, Zhongshan Hospital, Fudan University, 111 Yixueyuan Road, Shanghai, 200032, China. .,Health Management Center, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.
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Han D, Li YL, Zhou ZW, Yin F, Chen J, Liu F, Shi YF, Wang W, Zhang Y, Yu XJ, Xu JM, Yang RX, Tian C, Luo J, Tan HY. Clinicopathological characteristics and prognosis of 232 patients with poorly differentiated gastric neuroendocrine neoplasms. World J Gastroenterol 2021; 27:2895-2909. [PMID: 34135560 PMCID: PMC8173377 DOI: 10.3748/wjg.v27.i21.2895] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 04/14/2021] [Accepted: 05/07/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Poorly differentiated gastric neuroendocrine neoplasms (PDGNENs) include gastric neuroendocrine carcinoma (NEC) and mixed adenoneuroendocrine carcinoma, which are highly malignant and rare tumors, and their incidence has increased over the past few decades. However, the clinicopathological features and outcomes of patients with PDGNENs have not been completely elucidated.
AIM To investigate the clinicopathological characteristics and prognostic factors of patients with PDGNENs.
METHODS The data from seven centers in China from March 2007 to November 2019 were analyzed retrospectively.
RESULTS Among the 232 patients with PDGNENs, 191 (82.3%) were male, with an average age of 62.83 ± 9.11 years. One hundred and thirteen (49.34%) of 229 patients had a stage III disease and 86 (37.55%) had stage IV disease. Three (1.58%) of 190 patients had no clinical symptoms, while 187 (98.42%) patients presented clinical symptoms. The tumors were mainly (89.17%) solitary and located in the upper third of the stomach (cardia and fundus of stomach: 115/215, 53.49%). Most lesions were ulcers (157/232, 67.67%), with an average diameter of 4.66 ± 2.77 cm. In terms of tumor invasion, the majority of tumors invaded the serosa (116/198, 58.58%). The median survival time of the 232 patients was 13.50 mo (7, 31 mo), and the overall 1-year, 3-year, and 5-year survival rates were 49%, 19%, and 5%, respectively. According to univariate analysis, tumor number, tumor diameter, gastric invasion status, American Joint Committee on Cancer (AJCC) stage, and distant metastasis status were prognostic factors for patients with PDGNENs. Multivariate analysis showed that tumor number, tumor diameter, AJCC stage, and distant metastasis status were independent prognostic factors for patients with PDGNENs.
CONCLUSION The overall prognosis of patients with PDGNENs is poor. The outcomes of patients with a tumor diameter > 5 cm, multiple tumors, and stage IV tumors are worse than those of other patients.
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Affiliation(s)
- Deng Han
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yuan-Liang Li
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Zhi-Wei Zhou
- Department of Gastric and Pancreatic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong Province, China
| | - Fei Yin
- Department of Gastroenterology, Fourth Hospital of Hebei Medical University, Shijiazhuang 050000, Hebei Province, China
| | - Jie Chen
- Department of Gastroenterology, The First Affiliated Hospital Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Fang Liu
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Yan-Fen Shi
- Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Wei Wang
- Department of Gastric and Pancreatic Surgery, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong Province, China
| | - Yu Zhang
- Department of Gastroenterology, The First Affiliated Hospital Sun Yat-Sen University, Guangzhou 510080, Guangdong Province, China
| | - Xian-Jun Yu
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
- Pancreatic Cancer Institute, Fudan University, Shanghai 200032, China
- Shanghai Pancreatic Cancer Institute, Shanghai 200032, China
| | - Jian-Ming Xu
- Department of Gastrointestinal Oncology, Affiliated Hospital Cancer Center, Academy of Military Medical Sciences, Beijing 100071, China
| | - Run-Xiang Yang
- Second Department of Internal Medicine, Yunnan Tumor Hospital, Kunming 650118, Yunnan Province, China
| | - Chao Tian
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Jie Luo
- Department of Pathology, China-Japan Friendship Hospital, Beijing 100029, China
| | - Huang-Ying Tan
- Department of Integrative Oncology, China-Japan Friendship Hospital, Beijing 100029, China
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Wu T, Wang CH, Wang W, Liu LL, Yun JP, Zhou ZW. Association of preoperative and postoperative CA72-4 with gastric cancer outcome. J Surg Oncol 2021; 123:1699-1707. [PMID: 33684249 DOI: 10.1002/jso.26446] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 01/23/2021] [Accepted: 02/10/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND OBJECTIVES Carbohydrate antigen 72-4 (CA72-4) is widely used and has been associated with poor prognosis in gastric cancer (GC), but the prognostic significance of elevated preoperative CA72-4 that normalizes after resection remains unknown. METHODS This retrospective cohort analysis was conducted at the Sun Yat-Sen University Cancer Center (SYSUCC). Consecutive patients (n = 1179) with GC who had undergone curative resection for stage Ⅰto Ⅲ gastric adenocarcinoma. The patients were grouped into three cohorts: normal preoperative CA72-4 (C1), elevated preoperative but normalized postoperative CA72-4 (C2), and elevated preoperative and postoperative CA72-4 (C3). RESULTS In total, 1179 patients were identified. Kaplan-Meier analysis showed that patients with normal preoperative CA72-4 had a longer overall survival (OS) (p < .001) and recurrence-free survival (RFS) (p < .001) than those with elevated preoperative CA72-4. Patients with C1 had a longer OS and RFS than those with C2 or C3. Moreover, patients with C3 had the lowest OS, but had similar RFS to patients with C2. Multivariate Cox regression analysis showed that elevated pre- or postoperative CA72-4 was independently associated with shorter OS (hazard ratio [HR] = 1.273; 95% confidence interval [CI], 1.026-1.580; p = .029) and RFS (HR = 1.333; 95% CI, 1.064-1.668; p = .012). CONCLUSIONS Both elevated preoperative and postoperative CA72-4 can well predict the poor prognosis of patients with GC. Therefore, routine measurement of both postoperative and preoperative CA72-4 is warranted.
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Affiliation(s)
- Ting Wu
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Gastric Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Chun-Hua Wang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Wei Wang
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Gastric Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Li-Li Liu
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Jing-Ping Yun
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Zhi-Wei Zhou
- Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.,Department of Gastric Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, China
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Wang J, Doherty G. Neuroendocrine Tumors: Stomach. ENDOCRINE SURGERY COMPREHENSIVE BOARD EXAM GUIDE 2021:661-679. [DOI: 10.1007/978-3-030-84737-1_26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/06/2025]
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Tong Y, Huang Z, Hu C, Chi C, Lv M, Li P, Zhao C, Song Y. Independent risk factors evaluation for overall survival and cancer-specific survival in thyroid cancer patients with bone metastasis: A study for construction and validation of the predictive nomogram. Medicine (Baltimore) 2020; 99:e21802. [PMID: 32899008 PMCID: PMC7478775 DOI: 10.1097/md.0000000000021802] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Bone is a frequent site for the occurrence of metastasis of thyroid cancer (TC). TC with bone metastasis (TCBM) is associated with skeletal-related events (SREs), with poor prognosis and low overall survival (OS). Therefore, it is necessary to develop a predictive nomogram for prognostic evaluation. This study aimed to construct an effective nomogram for predicting the OS and cancer-specific survival (CSS) of TC patients with BM. Those TC patients with newly diagnosed BM were retrospectively examined over a period of 6 years from 2010 to 2016 using data from the Surveillance, Epidemiology and End Results (SEER) database. Demographics and clinicopathological data were collected for further analysis. Patients were randomly allocated into training and validation cohorts with a ratio of ∼7:3. OS and CSS were retrieved as research endpoints. Univariate and multivariate Cox regression analyses were performed for identifying independent predictors. Overall, 242 patients were enrolled in this study. Age, histologic grade, histological subtype, tumor size, radiotherapy, liver metastatic status, and lung metastatic status were determined as the independent prognostic factors for predicting the OS and CSS in TCBM patients. Based on the results, visual nomograms were separately developed and validated for predicting 1-, 2-, and 3-year OS and CSS in TCBM patients on the ground of above results. The calibration, receiver operating characteristic (ROC) curve and decision curve analysis (DCA) also demonstrated the reliability and accuracy of the clinical prediction model. Our predictive model is expected to be a personalized and easily applicable tool for evaluating the prognosis of TCBM patients, and may contribute toward making an accurate judgment in clinical practice.
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Affiliation(s)
- Yuexin Tong
- Department of Minimally Invasive Spine Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province
| | - Zhangheng Huang
- Department of Minimally Invasive Spine Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province
| | - Chuan Hu
- Department of Minimally Invasive Spine Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province
- Department of Orthopedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong Province
| | - Changxing Chi
- Department of Radiotherapy, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province
| | - Meng Lv
- Department of Ophthalmology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province, China
| | - Pengfei Li
- Department of Minimally Invasive Spine Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province
| | - Chengliang Zhao
- Department of Minimally Invasive Spine Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province
| | - Youxin Song
- Department of Minimally Invasive Spine Surgery, Affiliated Hospital of Chengde Medical University, Chengde, Hebei Province
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Zhang C, Xu G, Xu Y, Wu H, Guo X, Mao M, Baklaushev VP, Chekhonin VP, Peltzer K, Bai Y, Wang G, Ma W, Wang X. Pan-metastatic cancer analysis of prognostic factors and a prognosis-based metastatic cancer classification system. Aging (Albany NY) 2020; 12:16046-16061. [PMID: 32889800 PMCID: PMC7485706 DOI: 10.18632/aging.103467] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 05/28/2020] [Indexed: 04/16/2023]
Abstract
We aimed to perform a pan-metastatic cancer analysis on survival and prognostic factors and to create a prognosis-based classification system. We selected distant metastasis patients from the Surveillance, Epidemiology, and End Results (SEER) database. The associations between the characteristics of the patients at admission and overall survival were determined. A prognosis-based metastatic cancer classification was established based on the identified prognostic factors. The differences in prognosis among these categories were tested. The survival rate and prognostic factors were not consistent across cancers. Three metastatic cancer categories were generated, each with different prognoses. The prognostic differences among the categories were satisfactorily validated. Different metastatic cancer types had homogeneous and heterogeneous survival rates and prognostic factors. A prognosis-based classification system for synchronous distant metastasis cancer patients at admission was created. This classification system reflects the grade of malignancy in metastatic cancers and may guide the prediction of survival and individualized treatment. Moreover, it may have important implications for the management of synchronous metastatic cancers and aid clinicians in properly allocating medical resources to metastatic patients.
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Affiliation(s)
- Chao Zhang
- Department of Bone and Soft Tissue Tumours, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
| | - Guijun Xu
- Department of Bone and Soft Tissue Tumours, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
- Department of Orthopedics, Tianjin Hospital, Tianjin 300060, China
| | - Yao Xu
- Department of Bone and Soft Tissue Tumours, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
| | - Haixiao Wu
- Department of Bone and Soft Tissue Tumours, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
| | - Xu Guo
- Department of Bone and Soft Tissue Tumours, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
- Department of Orthopedics, Cangzhou Central Hospital, Cangzhou 061000, Hebei Province, China
| | - Min Mao
- Department of Pathology and Southwest Cancer Center, First Affiliated Hospital, Army Medical University, Chongqing 400038, China
| | - Vladimir P. Baklaushev
- Federal Research and Clinical Center of Specialized Medical Care and Medical Technologies, Federal Biomedical Agency of the Russian Federation, Moscow 115682, Russian Federation
| | - Vladimir P. Chekhonin
- Department of Basic and Applied Neurobiology, Federal Medical Research Center for Psychiatry and Narcology, Moscow 117997, Russian Federation
| | - Karl Peltzer
- Department of Research and Innovation, University of Limpopo, Turfloop 0527, South Africa
| | - Ye Bai
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Chongqing Medical University, Chongqing 400038, China
| | - Guowen Wang
- Department of Bone and Soft Tissue Tumours, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
| | - Wenjuan Ma
- Department of Breast Imaging, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin’s Clinical Research Center for Cancer, Tianjin 300060, China
| | - Xin Wang
- Department of Health Management Center (Epidemiology and Biostatistics), First Affiliated Hospital, Army Medical University, Chongqing 400038, China
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Abstract
PURPOSE OF REVIEW Gastroesophageal neuroendocrine neoplasms (NENs) are a rare entity. Recent 2019 WHO classifications reflect our understanding of tumor biology, namely, that distinct molecular characteristics underline tumor behavior and prognosis. Here, we reviewed the evidence for linking molecular findings with the clinicopathological features and treatment of gastroesophageal NENs. RECENT FINDINGS Degree of differentiation and Ki-67 proliferation index are required for accurate classification of neuroendocrine tumors and carcinomas but not sufficient to distinguish between the two entities. Resection remains the mainstay treatment for early-stage gastroesophageal neuroendocrine tumors. Additional perioperative therapy may benefit mitotically active tumors. There is a role for somatostatin analogues, especially in the setting of metastatic and symptomatic disease. New radiolabeled somatostatin analogues, immunotherapy, and embolization offer multimodality treatments for distant metastases. We need to understand the specific underlying biology of the various subtypes of gastroesophageal NENs to provide tailored treatment.
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Diao Y, Li X, Huo Y, Li Z, Yang Q, Huang Y, Wang L. Epidemiological Analysis and Prognosis of Conjunctival Cancer in the Past Twenty Years: A Population-Based Retrospective Study Using SEER Data. BIOMED RESEARCH INTERNATIONAL 2020; 2020:1203938. [PMID: 32724792 PMCID: PMC7366169 DOI: 10.1155/2020/1203938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 06/24/2020] [Indexed: 11/17/2022]
Abstract
Epidemiological studies of malignant primary conjunctival tumors are rare. We extracted data pertaining to primary site-labeled conjunctival cancer patients present within the Surveillance, Epidemiology, and End Results (SEER) database from 1992 to 2001 and from 2002 to 2011. The Kaplan-Meier approach was used for comparisons of overall survival (OS) between patients, while OS-related risk factors were identified via a Cox proportional hazards regression approach. We then constructed a nomogram that could be used to predict the 3- and 5-year OS, with the accuracy of this predictive model based on receiver operating characteristic (ROC) curve. We observed a significant reduction in age-adjusted incidence of conjunctival cancer in the 50-69-year-old age group of the 2002-2011 cohort relative to the 1992-2001 cohort (APC, P < 0.05). There were no significant differences in OS between the 1992-2001 and 2002-2011 conjunctival cancer patient cohorts. Being ≥30 years old (P < 0.05), male (P < 0.001), single (P < 0.05), divorced (P < 0.001), or widowed (P < 0.001) were all associated with an increased OS-related risk of primary conjunctival cancer (1992-2011). Our nomogram was able to accurately predict 3- and 5-year OS in conjunctival cancer patients. In verification mode, the 3-year area under the curve (AUC) was 0.697 and the 5-year AUC was 0.752. We found that age, sex, and marital status were all associated with primary conjunctival cancer survival. Our results further suggest that conjunctival cancer incidence and survival rates have been relatively stable over the last two decades, and using these data, we were able to generate a satisfactory risk prediction model for this disease.
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Affiliation(s)
- Yumei Diao
- Department of Ophthalmology, The 1st Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Xiaoqi Li
- Department of Ophthalmology, The 1st Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Yan Huo
- Department of Ophthalmology, The PLA Second Artillery General Hospital, Beijing 100088, China
| | - Zongyuan Li
- Department of Ophthalmology, The 1st Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Qinghua Yang
- Department of Ophthalmology, The 1st Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Yifei Huang
- Department of Ophthalmology, The 1st Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Liqiang Wang
- Department of Ophthalmology, The 1st Medical Center of Chinese PLA General Hospital, Beijing 100853, China
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