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D'Acapito F, Framarini M, Di Pietrantonio D, Ercolani G. Personalized treatment selection in colorectal cancer with peritoneal metastasis: Do we need statistically validated indicators or cultural shift? World J Gastrointest Oncol 2025; 17:104110. [PMID: 40235865 PMCID: PMC11995336 DOI: 10.4251/wjgo.v17.i4.104110] [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: 12/10/2024] [Revised: 01/03/2025] [Accepted: 01/08/2025] [Indexed: 03/25/2025] Open
Abstract
The study by Wu et al analyzed the correlation between nutritional and inflammatory markers and prognosis in patients with colorectal cancer peritoneal metastasis. The authors propose the neutrophil-to-lymphocyte ratio (NLR) as a predictor of overall survival (OS) and developed a nomogram incorporating NLR, hemoglobin (Hb), and peritoneal cancer index (PCI) to estimate 1- and 2-year survival. Although the nomogram shows high accuracy, the group of patients analyzed is heterogeneous with respect to the surgical treatment received, and no clear definitions are given for normal Hb and there is no reason for choosing a very high PCI (≥ 20). Patient selection for cytoreductive surgery with hyperthermic intraperitoneal chemotherapy requires a multidisciplinary approach. Over-simplification of the selection pathway may deny access to curative treatments to patients who could benefit. While methodologically sound, the study does not consider the effect of treatment received on OS, thus introducing a potential bias.
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Affiliation(s)
- Fabrizio D'Acapito
- General and Oncologic Surgery, Morgagni-Pierantoni Hospital, AUSL Romagna, Forli 47121, Emilia-Romagna, Italy
| | - Massimo Framarini
- General and Oncologic Surgery, Morgagni-Pierantoni Hospital, AUSL Romagna, Forli 47121, Emilia-Romagna, Italy
| | - Daniela Di Pietrantonio
- General and Oncologic Surgery, Morgagni-Pierantoni Hospital, AUSL Romagna, Forli 47121, Emilia-Romagna, Italy
| | - Giorgio Ercolani
- General and Oncologic Surgery, Morgagni-Pierantoni Hospital, AUSL Romagna, Forli 47121, Emilia-Romagna, Italy
- Department of Medical and Surgical Sciences, University of Bologna, Bologna 40126, Emilia-Romagna, Italy
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Li GS, Huang T, Li JX, Liu J, Gao X, Yan GQ, Yang N, Zhou HF. Correlation between hematocrit and the risk of common human cancers: results of a 1999-2020 observational survey and Mendelian randomization analysis. Expert Rev Hematol 2025; 18:333-344. [PMID: 40165040 DOI: 10.1080/17474086.2025.2486381] [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: 11/06/2024] [Revised: 03/10/2025] [Accepted: 03/21/2025] [Indexed: 04/02/2025]
Abstract
BACKGROUND Previous studies have underscored the significance of hematocrit (HCT) in different tumors. However, further research is needed to explore its causal relationship with various tumors. RESEARCH DESIGN AND METHODS A retrospective analysis and a Mendelian randomization analysis were conducted on a sample of 3,580,275 samples to investigate the causal relationships between high HCT levels and the risks of developing the 15 prevalent malignant tumors. Additionally, using an in-house cohort, Kaplan-Meier curves were utilized to examine the relationship between HCT levels and the prognosis of patients with prostate cancer (PCa). RESULTS An elevated HCT level was identified as a protective factor against six types of cancers, including PCa (odds ratio [OR] < 1.000, p < 0.05), and a risk factor for cervical cancer, melanoma, and non-melanoma skin cancer (OR > 1.000, p < 0.05). A potential causal association was found between high HCT levels and decreased risks of developing PCa (OR = 0.887, p < 0.05) and breast cancer (OR = 0.893, p < 0.05). HCT was identified as a protective factor against PCa (p < 0.05). CONCLUSIONS This study identified significant associations between HCT and nine tumors. HCT levels may serve as a protective factor against PCa.
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Affiliation(s)
- Guo-Sheng Li
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Tao Huang
- Department of Cardiothoracic Vascular Surgery, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, P. R. China
- Key Laboratory of Metabolic Diseases of Baise, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, P. R. China
| | - Jing-Xiao Li
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Jun Liu
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Xiang Gao
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Guan-Qiang Yan
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Nuo Yang
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China
| | - Hua-Fu Zhou
- Department of Cardiothoracic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, P. R. China
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Wu ZJ, Lan B, Luo J, Ameti A, Wang H, Hu QY. Impact of preoperative inflammatory and nutritional markers on the prognosis of patients with peritoneal metastasis of colorectal cancer. World J Gastrointest Oncol 2024; 16:3865-3874. [PMID: 39350999 PMCID: PMC11438771 DOI: 10.4251/wjgo.v16.i9.3865] [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: 01/31/2024] [Revised: 06/10/2024] [Accepted: 07/16/2024] [Indexed: 09/09/2024] Open
Abstract
BACKGROUND Identifying patients with peritoneal metastasis (PMs) of colorectal cancer (CRC) who will benefit from cytoreductive surgery and hyperthermic intraperitoneal chemotherapy is crucial before surgery. Inflammatory and nutritional indicators play essential roles in cancer development and metastasis. AIM To investigate the association of preoperative inflammatory and nutritional markers with prognosis in patients with CRC-PM. METHODS We included 133 patients diagnosed with CRC-PM between July 2012 and July 2018. Patients' demographics, overall survival (OS), and preoperative inflammatory and nutritional markers were evaluated. The Kaplan-Meier method and log-rank test were used to estimate differences. RESULTS Of the 133 patients, 94 (70.6%) had normal hemoglobin (Hb) and 54 (40.6%) had a high neutrophil-to-lymphocyte ratio (NLR). The median OS (mOS) was significantly lower for patients with high NLR (7.9 months) than for those with low NLR (25.4 months; P = 0.002). Similarly, patients with normal Hb had a longer mOS (18.5 months) than those with low Hb (6.3 months; P < 0.001). Multivariate analysis identified age, carbohydrate antigen 199 levels, NLR, Hb, and peritoneal cancer index as independent predictors of OS. Based on these findings, a nomogram was constructed, which demonstrated a good capacity for prediction, with a C-index of 0.715 (95% confidence interval: 0.684-0.740). Furthermore, the 1- and 2-year survival calibration plots showed good agreement between predicted and actual OS rates. The areas under the curve for the 1- and 2-year survival predictions of the nomogram were 0.6238 and 0.6234, respectively. CONCLUSION High NLR and low Hb were identified as independent predictive risk factors for poor prognosis in patients with CRC-PM. The established nomogram demonstrated high accuracy in predicting OS for patients with CRC-PM, indicating its potential as a valuable prognostic tool for this patient population.
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Affiliation(s)
- Zhi-Jie Wu
- Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
| | - Bing Lan
- Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
| | - Jian Luo
- Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
| | - Ayniyazi Ameti
- Department of Anesthesiology, Kashgar First People’s Hospital, Kashgar 844000, Xinjiang Uygur Autonomous Region, China
| | - Hui Wang
- Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
| | - Qiong-Yu Hu
- Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China
- Department of Anesthesiology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510000, Guangdong Province, China
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Lin YW, Kang WP, Hong CQ, Huang BL, Qiu ZH, Liu CT, Chu LY, Xu YW, Guo HP, Wu FC. Nutritional and immune-related indicators-based Nomogram for predicting overall survival of surgical oral tongue squamous cell carcinoma. Sci Rep 2023; 13:8525. [PMID: 37237026 PMCID: PMC10219930 DOI: 10.1038/s41598-023-35244-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 05/15/2023] [Indexed: 05/28/2023] Open
Abstract
Oral tongue squamous cell carcinoma (OTSCC) is one of the most aggressive oral tumors. The aim of this study was to establish a nomogram to predict overall survival (OS) of TSCC patients after surgery. 169 TSCC patients who underwent surgical treatments in the Cancer Hospital of Shantou University Medical College were included. A nomogram based on Cox regression analysis results was established and internally validated using bootstrap resampling method. pTNM stage, age and total protein, immunoglobulin G, factor B and red blood cell count were identified as independent prognostic factors to create the nomogram. The Akaike Information Criterion and Bayesian Information Criterion of the nomogram were lower than those of pTNM stage, indicating a better goodness-of-fit of the nomogram for predicting OS. The bootstrap-corrected concordance index of nomogram was higher than that of pTNM stage (0.794 vs. 0.665, p = 0.0008). The nomogram also had a good calibration and improved overall net benefit. Based on the cutoff value obtained from the nomogram, the proposed high-risk group had poorer OS than low-risk group (p < 0.0001). The nomogram based on nutritional and immune-related indicators represents a promising tool for outcome prediction of surgical OTSCC.
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Affiliation(s)
- Yi-Wei Lin
- Department of Clinical Laboratory Medicine, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
- Esophageal Cancer Prevention and Control Research Center, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Wei-Piao Kang
- Department of Otolaryngology, the Second Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Chao-Qun Hong
- Esophageal Cancer Prevention and Control Research Center, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
- Department of Oncological Laboratory Research, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Bin-Liang Huang
- Department of Clinical Laboratory Medicine, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
- Esophageal Cancer Prevention and Control Research Center, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Zi-Han Qiu
- The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Can-Tong Liu
- Department of Clinical Laboratory Medicine, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
- Esophageal Cancer Prevention and Control Research Center, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Ling-Yu Chu
- Department of Clinical Laboratory Medicine, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
- Esophageal Cancer Prevention and Control Research Center, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China
| | - Yi-Wei Xu
- Department of Clinical Laboratory Medicine, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China.
- Esophageal Cancer Prevention and Control Research Center, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China.
- Guangdong Esophageal Cancer Institute, Shantou University Medical College, Shantou, 515041, China.
| | - Hai-Peng Guo
- Department of Head and Neck Surgery, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China.
| | - Fang-Cai Wu
- Department of Radiation Oncology, the Cancer Hospital of Shantou University Medical College, Shantou, 515041, China.
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Zeng C, Yang Y, Huang S, He W, Cai Z, Huang D, Lin C, Chen J. Development and validation for multifactor prediction model of sudden sensorineural hearing loss. Front Neurol 2023; 14:1134564. [PMID: 37273712 PMCID: PMC10232956 DOI: 10.3389/fneur.2023.1134564] [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] [Received: 12/30/2022] [Accepted: 04/24/2023] [Indexed: 06/06/2023] Open
Abstract
Background Sudden sensorineural hearing loss (SSNHL) is a global problem threatening human health. Early and rapid diagnosis contributes to effective treatment. However, there is a lack of effective SSNHL prediction models. Methods A retrospective study of SSNHL patients from Fujian Geriatric Hospital (the development cohort with 77 participants) was conducted and data from First Hospital of Putian City (the validation cohort with 57 participants) from January 2018 to December 2021 were validated. Basic characteristics and the results of the conventional coagulation test (CCT) and the blood routine test (BRT) were then evaluated. Binary logistic regression was used to develop a prediction model to identify variables significantly associated with SSNHL, which were then included in the nomogram. The discrimination and calibration ability of the nomogram was evaluated by receiver operating characteristic (ROC), calibration plot, and decision curve analysis both in the development and validation cohorts. Delong's test was used to calculate the difference in ROC curves between the two cohorts. Results Thrombin time (TT), red blood cell (RBC), and granulocyte-lymphocyte ratio (GLR) were found to be associated with the diagnosis of SSNHL. A prediction nomogram was constructed using these three predictors. The AUC in the development and validation cohorts was 0.871 (95% CI: 0.789-0.953) and 0.759 (95% CI: 0.635-0.883), respectively. Delong's test showed no significant difference in the ROC curves between the two groups (D = 1.482, p = 0.141). Conclusion In this study, a multifactor prediction model for SSNHL was established and validated. The factors included in the model could be easily and quickly accessed, which could help physicians make early diagnosis and clinical treatment decisions.
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Affiliation(s)
- Chaojun Zeng
- Department of Otorhinolaryngology Head and Neck Surgery, Fujian Institute of Otorhinolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Otorhinolaryngology Head and Neck Surgery, First Hospital of Putian City, Putian, Fujian, China
| | - Yunhua Yang
- Department of Otolaryngology, Fujian Provincial Geriatric Hospital, Fuzhou, China
| | - Shuna Huang
- National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Clinical Research and Translation Center, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Wenjuan He
- Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, China
| | - Zhang Cai
- Department of Otorhinolaryngology Head and Neck Surgery, First Hospital of Putian City, Putian, Fujian, China
| | - Dongdong Huang
- Department of Otorhinolaryngology Head and Neck Surgery, First Hospital of Putian City, Putian, Fujian, China
| | - Chang Lin
- Department of Otorhinolaryngology Head and Neck Surgery, Fujian Institute of Otorhinolaryngology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Junying Chen
- National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Central Laboratory, Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
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Lin Q, Lu Y, Lu R, Chen Y, Wang L, Lu J, Ye X. Assessing Metabolic Risk Factors for LVSI in Endometrial Cancer: A Cross-Sectional Study. Ther Clin Risk Manag 2022; 18:789-798. [PMID: 35971461 PMCID: PMC9375567 DOI: 10.2147/tcrm.s372371] [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: 04/26/2022] [Accepted: 07/29/2022] [Indexed: 11/23/2022] Open
Abstract
Objective This study analyzed metabolic factors associated with lymphovascular space invasion (LVSI) and compared the difference between type 1 and type 2 endometrial cancer (EC). Methods Four hundred patients primarily diagnosed with EC who underwent hysterectomy with pathological results at Fujian Medical University Cancer Hospital from January 2019 to January 2021 were included. Demographic variable data were collected as well as pathological results. Laboratory evaluations included fasting blood glucose (FBG), serum cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), apolipoprotein A (Apo A) and apolipoprotein B (Apo B). Characterization of binary logistic regression models was used to test the odds ratios (ORs) between LVSI and its metabolic parameters with different subtypes of EC. Results The results indicated that CA125, ROMA, Ki67 score, FBG and TC were higher in EC patients with LVSI (all p<0.05). Negative ER and PR expression was positively associated with LVSI (P<0.05). CA125, ROMA, FBG, TC and ER were found to be independent risk factors for LVSI. CA125, ROMA and FBG were significantly elevated in type 1 EC patients with LVSI compared with those without LVSI (all p<0.05). TC and Ki67 scores were much higher in type 2 EC patients with vs without LVSI (all p<0.05). Negative PR expression was positively related to both type 1 and type 2 EC patients with LVSI. Consequently, CA125, ROMA, FBG and Apo B were found to be independent risk factors for LVSI in type 1 EC, and TC was found to be an independent risk factor for LVSI in type 2 EC. Conclusion FBG and TC were both independent risk factors for LVSI in EC. FBG and Apo B were independent risk factors for LVSI in type 1 EC. TC was an independent risk factor for LVSI in type 2 EC.
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Affiliation(s)
- Qiaoyan Lin
- Department of Blood Transfusion, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, People's Republic of China
| | - Yongwei Lu
- Department of Gyn-Surgical Oncology Section 9, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, People's Republic of China
| | - Rong Lu
- Department of Blood Transfusion, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, People's Republic of China
| | - Yujuan Chen
- Department of Blood Transfusion, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, People's Republic of China
| | - Linghua Wang
- Department of Gynecologic Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, People's Republic of China
| | - Jianping Lu
- Department of Pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, People's Republic of China
| | - Xianren Ye
- Department of Blood Transfusion, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, People's Republic of China.,Fujian Provincial Key Laboratory of Tumor Biotherapy, Fuzhou, People's Republic of China
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Zhong W, Zhou C, Chen L, Wang Z, Lin H, Wu K, Zhang S. The Coefficient of Variation of Red Blood Cell Distribution Width Combined with Cancer Antigen 125 Predicts Postoperative Overall Survival in Endometrial Cancer. Int J Gen Med 2021; 14:5903-5910. [PMID: 34584444 PMCID: PMC8464372 DOI: 10.2147/ijgm.s323136] [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: 06/03/2021] [Accepted: 09/09/2021] [Indexed: 01/04/2023] Open
Abstract
Purpose This study assessed the prognostic value of red blood cell distribution width (RDW) and cancer antigen 125 (CA125) in predicting the prognosis of endometrial cancer (EC) patients. Patients and Methods In this study, we included 525 patients with EC between January 2013 and January 2019. Demographic and clinical indicators were collected, and the receiver operating characteristics curve (ROC) and cutoff values were calculated between the early and advanced stages of EC. Independent risk factors associated with EC prognosis were assessed using Cox regression analyses and the Kaplan–Meier method. Results Compared to women in the early stage of EC, women with advanced stage had significantly elevated RDW coefficient of variation (RDW-CV) and CA125 levels and lower mean corpuscular volume (MCV) and mean corpuscular hemoglobin (MCH) (both P < 0.05). Consequently, RDW-CV and CA125 were found to be independent risk factors for EC by using ROC curve and multivariate logistic regression analysis. The survival analysis curve was used to assess the diagnostic value of RDW-CV, CA125, and their combination in the prognosis of EC. The results showed that patients with high expression of RDW-CV and CA125 had worse overall survival than those with low expression. Moreover, multivariate Cox regression analysis indicated that RDW-CV+CA125=2 was an independent prognostic factor. Conclusion These findings suggest that CA125 combined with RDW-CV has a good prognostic value for EC. Thus, the RDW-CV+CA125 score is a promising prognostic marker for the clinical decision-making process regarding EC outcomes.
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Affiliation(s)
- Wenhui Zhong
- Clinical Laboratory, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China
| | - Chunyu Zhou
- Nursing Department, Fujian Medical University Union Hospital, Fuzhou, People's Republic of China
| | - Lufei Chen
- Clinical Laboratory, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China
| | - Zhenna Wang
- Department of Gynecology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China
| | - Hongxing Lin
- Clinical Laboratory, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China
| | - Kunhai Wu
- Clinical Laboratory, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China
| | - Sujiao Zhang
- Department of Pathology, Fujian Maternity and Child Health Hospital, Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China
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Wei LF, Huang XC, Lin YW, Luo Y, Ding TY, Liu CT, Chu LY, Xu YW, Peng YH, Guo HP. A Prognostic Model Based on Clinicopathological Features and Inflammation- and Nutrition-Related Indicators Predicts Overall Survival in Surgical Patients With Tongue Squamous Cell Carcinoma. Technol Cancer Res Treat 2021; 20:15330338211043048. [PMID: 34866500 PMCID: PMC8652185 DOI: 10.1177/15330338211043048] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 07/01/2021] [Accepted: 07/14/2021] [Indexed: 02/05/2023] Open
Abstract
Objectives: It is reported that inflammation- and nutrition-related indicators have a prognostic impact on multiple cancers. Here we aimed to identify a prognostic nomogram model for prediction of overall survival (OS) in surgical patients with tongue squamous cell carcinoma (TSCC). Methods: The retrospective data of 172 TSCC patients were charted from the Cancer Hospital of Shantou University Medical College between 2008 and 2019. A Cox regression analysis was performed to determine prognostic factors to establish a nomogram and predict OS. The predictive accuracy of the model was analyzed by the calibration curves and the concordance index (C-index). The difference of OS was analyzed by Kaplan-Meier survival analysis. Results: Multivariate analysis showed age, tumor node metastasis (TNM) stage, red blood cell, platelets, and platelet-to-lymphocyte ratio were independent prognostic factors for OS, which were used to build the prognostic nomogram model. The C-index of the model for OS was 0.794 (95% CI = 0.729-0.860), which was higher than that of TNM stage 0.685 (95% CI = 0.605-0.765). In addition, decision curve analysis also showed the nomogram model had improved predictive accuracy and discriminatory performance for OS, compared to the TNM stage. According to the prognostic model risk score, patients in the high-risk subgroup had a lower 5-year OS rate than that in a low-risk subgroup (23% vs 49%, P < .0001). Conclusions: The nomogram model based on clinicopathological features inflammation- and nutrition-related indicators represents a promising tool that might complement the TNM stage in the prognosis of TSCC.
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Affiliation(s)
- Lai-Feng Wei
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Xu-Chun Huang
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Yi-Wei Lin
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Yun Luo
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Tian-Yan Ding
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Can-Tong Liu
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Ling-Yu Chu
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Yi-Wei Xu
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Yu-Hui Peng
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
- Precision Medicine Research Center, Shantou University Medical College, Shantou, Guangdong, China
| | - Hai-Peng Guo
- The Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
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