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Worrell SG. Indications for neoadjuvant radiation in esophageal adenocarcinoma: Times are changing. JTCVS Tech 2024; 25:201-203. [PMID: 38899106 PMCID: PMC11184586 DOI: 10.1016/j.xjtc.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 03/02/2024] [Accepted: 03/08/2024] [Indexed: 06/21/2024] Open
Affiliation(s)
- Stephanie G. Worrell
- Section of Thoracic Surgery, Department of Surgery, University of Arizona, Tucson, Ariz
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da Costa WL, Gu X, Farjah F, Groth SS, Burt BM, Ripley RT, Massarweh NN. Clinical Understaging, Treatment Response, and Survival Among Esophageal Adenocarcinoma Patients. J Surg Res 2022; 279:256-264. [PMID: 35797753 DOI: 10.1016/j.jss.2022.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/09/2022] [Accepted: 06/04/2022] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Selecting appropriate management for patients with esophageal adenocarcinoma (EA) is predicated on accurate clinical staging information. Inaccurate information could lead to inappropriate treatment and suboptimal survival. We investigated the relationship between staging accuracy, treatment, and survival. METHODS This was a national cohort study of EA patients in the National Cancer Data Base (2006-2015) treated with upfront resection or neoadjuvant therapy (NAT). Clinical and pathological staging information was used to ascertain staging concordance for each patient. For NAT patients, Bayesian analysis was used to account for potential downstaging. We evaluated the association between staging concordance, receipt of NAT, and survival through hierarchical logistic regression and multivariable Cox regression. RESULTS Among 7635 EA patients treated at 877 hospitals, 3038 had upfront resection and 4597 NAT followed by surgery. Relative to accurately staged patients, understaging was associated with a lower likelihood (odds ratio [OR] 0.04 95% confidence interval [CI] 0.02-0.05) while overstaging was associated with a greater likelihood of receiving NAT (OR 1.98 [1.53-2.56]). Relative to upfront surgery, treatment of cT1N0 patients with NAT was associated with a higher risk of death (HR 3.08 [2.36-4.02]). For accurately or overstaged cT3-T4 patients, NAT was associated with a lower risk of death whether downstaging occurred (ypN0 disease-HR 0.67 [0.49-0.92]; N+ disease-HR 0.55 [0.45-0.66]) or not (ypN + disease-HR 0.78 [95% CI 0.65-0.93]). CONCLUSIONS Clinical understaging is associated with receipt of NAT which in turn may have a stage-specific impact on patients' survival regardless of treatment response. Guidelines should account for the possibility of inaccurate clinical staging.
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Ju MR, Karalis JD, Blackwell JM, Mansour JC, Polanco PM, Augustine M, Yopp AC, Zeh HJ, Wang SC, Porembka MR. Inaccurate Clinical Stage Is Common for Gastric Adenocarcinoma and Is Associated with Undertreatment and Worse Outcomes. Ann Surg Oncol 2021; 28:2831-2843. [PMID: 33389294 DOI: 10.1245/s10434-020-09403-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 11/04/2020] [Indexed: 01/14/2023]
Abstract
BACKGROUND Accurate clinical staging (CS) of gastric cancer is critical for appropriate treatment selection and prognostication, but CS remains highly imprecise. Our study evaluates factors associated with inaccurate CS, the impact of inaccurate CS on outcomes, and utilization of adjuvant therapy in patients who are understaged. METHODS We conducted a retrospective review of NCDB patients diagnosed with clinical early stage gastric adenocarcinoma (cT1-2N0M0) between 2004 and 2016. Patients not undergoing upfront gastrectomy or with missing pathologic staging were excluded. Patients were classified as accurately staged, inaccurately staged with receipt of adjuvant therapy (IS+), and inaccurately staged with no receipt of adjuvant therapy (IS-). Logistic regression was utilized to assess the impact of factors on CS accuracy and receipt of adjuvant therapies. Kaplan-Meier and Cox proportional hazard methods were used for survival analysis. RESULTS Approximately 40% of patients were inaccurately staged (IS). cT2, moderately/poorly differentiated, and site-overlapping tumors were associated with increased likelihood of being IS. Treatment at an academic facility was associated with decreased likelihood of understaging. Only 54% of patients who were IS received adjuvant therapy. CONCLUSION Accurate CS of gastric cancer remains inadequate. Understaging is associated with detrimental effects on receiving guideline-concordant care and, possibly, patient outcomes. Targeted interventions reducing the proportion of understaged patients and ensuring receipt of appropriate therapy is needed to optimize outcomes. Patients with high-risk disease that are frequently understaged may benefit from selective neoadjuvant therapy. Centralization of gastric cancer care may also be a key strategy in improving receipt of guideline-concordant therapies.
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Affiliation(s)
- Michelle R Ju
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - John D Karalis
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James-Michael Blackwell
- Department of Behavioral and Communication Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - John C Mansour
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Patricio M Polanco
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Mathew Augustine
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Adam C Yopp
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Herbert J Zeh
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Sam C Wang
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Matthew R Porembka
- Division of Surgical Oncology, Department of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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Liu XL, Shao CY, Sun L, Liu YY, Hu LW, Cong ZZ, Xu Y, Wang RC, Yi J, Wang W. An artificial neural network model predicting pathologic nodal metastases in clinical stage I-II esophageal squamous cell carcinoma patients. J Thorac Dis 2020; 12:5580-5592. [PMID: 33209391 PMCID: PMC7656440 DOI: 10.21037/jtd-20-1956] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/09/2022]
Abstract
Background Current preoperative staging for lymph nodal status remains inaccurate. The purpose of this study was to build an artificial neural network (ANN) model to predict pathologic nodal involvement in clinical stage I–II esophageal squamous cell carcinoma (ESCC) patients and then validated the performance of the model. Methods A total of 523 patients (training set: 350; test set: 173) with clinical staging I–II ESCC who underwent esophagectomy and reconstruction were enrolled in this study. Their post-surgical pathological results were assessed and analysed. An ANN model was established for predicting pathologic nodal positive patients in the training set, which was validated in the test set. A receiver operating characteristic (ROC) curve was also created to illustrate the performance of the predictive model. Results Of the enrolled 523 patients with ESCC, 41.3% of the patients were confirmed pathologic nodal positive (216/523). The ANN staging system identified the tumour invasion depth, tumour length, dysphagia, tumour differentiation and lymphovascular invasion (LVI) as predictors for pathologic lymph node metastases. The C-index for the ANN model verified in the test set was 0.852, which demonstrated that the ANN model had a good predictive performance. Conclusions The ANN model presented good performance for predicting pathologic lymph node metastasis and added indicators not included in current staging criteria and might help improve the staging strategies.
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Affiliation(s)
- Xiao-Long Liu
- Department of Cardiothoracic Surgery, Jinling Hospital, Jinling School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Chen-Ye Shao
- Department of Cardiothoracic Surgery, Jinling Hospital, Jinling School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Lei Sun
- Department of Cardiothoracic Surgery, Jinling Hospital, Jinling School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Yi-Yang Liu
- Department of Cardiothoracic Surgery, Jinling Hospital, Jinling School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Li-Wen Hu
- Department of Cardiothoracic Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Zhuang-Zhuang Cong
- Department of Cardiothoracic Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yang Xu
- Department of Cardiothoracic Surgery, Jinling Hospital, Jinling School of Clinical Medicine, Nanjing Medical University, Nanjing, China
| | - Rong-Chun Wang
- Department of Cardiothoracic Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Jun Yi
- Department of Cardiothoracic Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Wei Wang
- Department of Thoracic Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Kumble LD, Silver E, Oh A, Abrams JA, Sonett JR, Hur C. Treatment of early stage (T1) esophageal adenocarcinoma: Personalizing the best therapy choice. World J Meta-Anal 2019; 7:406-417. [DOI: 10.13105/wjma.v7.i9.406] [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: 08/09/2019] [Revised: 10/03/2019] [Accepted: 10/19/2019] [Indexed: 02/06/2023] Open
Abstract
Esophagectomy is considered the primary form of management for esophageal adenocarcinoma (EAC); however, the surgery is associated with high rates of morbidity and mortality. For patients with early-stage EAC, endoscopic resection (ER) presents a potential curative treatment option that is less invasive and carries fewer risks procedure related risks, but it is associated with higher rates of cancer recurrence following the procedure. For some patients, age and comorbidities may prevent them from having esophagectomy as a treatment option, while other patients may be operative candidates but do not wish to undergo esophagectomy for a variety of reasons related to their values and preferences. Furthermore, while anxiety of cancer recurrence following ER may significantly diminish a patient’s quality of life (QOL), so might the morbidity surrounding esophagectomy. In addition to considering health status, patient preferences, and impacts on QOL, physicians and patients must also consider what treatments would be both beneficial and available to the patient, considering esophagectomy methods-minimally invasive vs open-or the use of chemoradiotherapy in addition to ER. Our article reviews and summarizes available treatment options for patients with early EAC and their potential effects on the health and wellbeing of patients based on the current data. We conclude with a request for more research of available options for early EAC patients, the conditions that determine when each option should be employed, and their effects not only on patient health but also QOL.
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Affiliation(s)
| | - Elisabeth Silver
- General Medicine, Columbia University Medical Center, New York, NY 10032, United States
| | - Aaron Oh
- General Medicine, Columbia University Medical Center, New York, NY 10032, United States
| | - Julian A Abrams
- Department of Medicine, Columbia University Medical Center, New York, NY 10032, United States
| | - Joshua R Sonett
- Department of Medicine, Columbia University Medical Center, New York, NY 10032, United States
| | - Chin Hur
- Department of Medicine, Columbia University Medical Center, New York, NY 10032, United States
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Wang Q, Wu Z, Zhan T, Fang S, Zhang S, Shen G, Wu M. Comparison of minimally invasive Ivor Lewis esophagectomy and left transthoracic esophagectomy in esophageal squamous cell carcinoma patients: a propensity score-matched analysis. BMC Cancer 2019; 19:500. [PMID: 31132995 PMCID: PMC6537370 DOI: 10.1186/s12885-019-5656-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 04/29/2019] [Indexed: 01/18/2023] Open
Abstract
Background To investigate the long-term efficacy of the minimally invasive Ivor Lewis esophagectomy (MIILE) in esophageal squamous cell carcinoma (ESCC) patients, a retrospective comparison of the quality of life (QOL) and survival between patients who underwent MIILE and left transthoracic esophagectomy (Sweet approach) was conducted. Methods A detailed database search identified 614 patients who underwent MIILE and 243 patients who underwent Sweet esophagectomy between January 2011 and December 2017. After propensity score matching, 216 paired cases were selected for statistical analysis. Survival was evaluated with Kaplan-Meier curves or Cox models. Results MIILE was associated with a longer duration, less blood loss and more lymph node dissected than Sweet esophagectomy. MIILE patients suffered from less pain, less frequently developed pneumonia, and had fewer postoperative complications. Additionally, MIILE patients began oral intake earlier and had a shorter postoperative hospital stay, and enhanced recovery of QOL. There was no significant difference between the approaches regarding the recurrence pattern, 2-year and 5-year overall survival (OS) or disease-free survival (DFS), except that patients with tumor-node-metastasis (TNM) stage I in the MIILE group demonstrated superior OS and DFS. Pathological TNM stage and postoperative complications were determined to be independent prognostic factors based on the multivariate analysis. Conclusion MIILE is a safe and feasible approach for treating ESCC patients. MIILE approach may provide more postoperative advantages, enhanced QOL improvement, and more favorable long-term survival in early stage patients than the Sweet procedure.
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Affiliation(s)
- Qi Wang
- Department of Thoracic Surgery, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 JieFang Rd, Hangzhou, 310009, China
| | - Zixiang Wu
- Department of Thoracic Surgery, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 JieFang Rd, Hangzhou, 310009, China
| | - Tianwei Zhan
- Department of Thoracic Surgery, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 JieFang Rd, Hangzhou, 310009, China
| | - Shuai Fang
- Department of Thoracic Surgery, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 JieFang Rd, Hangzhou, 310009, China
| | - Sai Zhang
- Department of Thoracic Surgery, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 JieFang Rd, Hangzhou, 310009, China
| | - Gang Shen
- Department of Thoracic Surgery, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 JieFang Rd, Hangzhou, 310009, China
| | - Ming Wu
- Department of Thoracic Surgery, 2nd Affiliated Hospital, School of Medicine, Zhejiang University, 88 JieFang Rd, Hangzhou, 310009, China.
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