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Increased prognostic value of clinical–reproductive model in Chinese female patients with esophageal squamous cell carcinoma

BACKGROUND: In China, it has been well recognized that some female patients with esophageal squamous cell carcinoma (ESCC) have different overall survival (OS) time, even with the same tumor-node-metastasis (TNM) stage, challenging the prognostic value of the TNM system alone. An effective predictiv...

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Autores principales: Zhang, Dong-Yun, Ku, Jian-Wei, Zhao, Xue-Ke, Zhang, Hai-Yan, Song, Xin, Wu, Hong-Fang, Fan, Zong-Min, Xu, Rui-Hua, You, Duo, Wang, Ran, Zhou, Ruo-Xi, Wang, Li-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099181/
https://www.ncbi.nlm.nih.gov/pubmed/35645543
http://dx.doi.org/10.3748/wjg.v28.i13.1347
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author Zhang, Dong-Yun
Ku, Jian-Wei
Zhao, Xue-Ke
Zhang, Hai-Yan
Song, Xin
Wu, Hong-Fang
Fan, Zong-Min
Xu, Rui-Hua
You, Duo
Wang, Ran
Zhou, Ruo-Xi
Wang, Li-Dong
author_facet Zhang, Dong-Yun
Ku, Jian-Wei
Zhao, Xue-Ke
Zhang, Hai-Yan
Song, Xin
Wu, Hong-Fang
Fan, Zong-Min
Xu, Rui-Hua
You, Duo
Wang, Ran
Zhou, Ruo-Xi
Wang, Li-Dong
author_sort Zhang, Dong-Yun
collection PubMed
description BACKGROUND: In China, it has been well recognized that some female patients with esophageal squamous cell carcinoma (ESCC) have different overall survival (OS) time, even with the same tumor-node-metastasis (TNM) stage, challenging the prognostic value of the TNM system alone. An effective predictive model is needed to accurately evaluate the prognosis of female ESCC patients. AIM: To construct a novel prognostic model with clinical and reproductive data for Chinese female patients with ESCC, and to assess the incremental prognostic value of the full model compared with the clinical model and TNM stage. METHODS: A new prognostic nomogram incorporating clinical and reproductive features was constructed based on univariatie and Cox proportional hazards survival analysis from a training cohort (n = 175). The results were recognized using the internal (n = 111) and independent external (n = 85) validation cohorts. The capability of the clinical–reproductive model was evaluated by Harrell’s concordance index (C-index), Kaplan–Meier curve, time-dependent receiver operating characteristic (ROC), calibration curve and decision curve analysis. The correlations between estrogen response and immune-related pathways and some gene markers of immune cells were analyzed using the TIMER 2.0 database. RESULTS: A clinical–reproductive model including incidence area, age, tumor differentiation, lymph node metastasis (N) stage, estrogen receptor alpha (ESR1) and beta (ESR2) expression, menopausal age, and pregnancy number was constructed to predict OS in female ESCC patients. Compared to the clinical model and TNM stage, the time-dependent ROC and C-index of the clinical–reproductive model showed a good discriminative ability for predicting 1-, 3-, and 5-years OS in the primary training, internal and external validation sets. Based on the optimal cut-off value of total prognostic scores, patients were classified into high- and low-risk groups with significantly different OS. The estrogen response was significantly associated with p53 and apoptosis pathways in esophageal cancer. CONCLUSION: The clinical–reproductive prognostic nomogram has an incremental prognostic value compared with the clinical model and TNM stage in predicting OS in Chinese female ESCC patients.
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spelling pubmed-90991812022-05-26 Increased prognostic value of clinical–reproductive model in Chinese female patients with esophageal squamous cell carcinoma Zhang, Dong-Yun Ku, Jian-Wei Zhao, Xue-Ke Zhang, Hai-Yan Song, Xin Wu, Hong-Fang Fan, Zong-Min Xu, Rui-Hua You, Duo Wang, Ran Zhou, Ruo-Xi Wang, Li-Dong World J Gastroenterol Retrospective Study BACKGROUND: In China, it has been well recognized that some female patients with esophageal squamous cell carcinoma (ESCC) have different overall survival (OS) time, even with the same tumor-node-metastasis (TNM) stage, challenging the prognostic value of the TNM system alone. An effective predictive model is needed to accurately evaluate the prognosis of female ESCC patients. AIM: To construct a novel prognostic model with clinical and reproductive data for Chinese female patients with ESCC, and to assess the incremental prognostic value of the full model compared with the clinical model and TNM stage. METHODS: A new prognostic nomogram incorporating clinical and reproductive features was constructed based on univariatie and Cox proportional hazards survival analysis from a training cohort (n = 175). The results were recognized using the internal (n = 111) and independent external (n = 85) validation cohorts. The capability of the clinical–reproductive model was evaluated by Harrell’s concordance index (C-index), Kaplan–Meier curve, time-dependent receiver operating characteristic (ROC), calibration curve and decision curve analysis. The correlations between estrogen response and immune-related pathways and some gene markers of immune cells were analyzed using the TIMER 2.0 database. RESULTS: A clinical–reproductive model including incidence area, age, tumor differentiation, lymph node metastasis (N) stage, estrogen receptor alpha (ESR1) and beta (ESR2) expression, menopausal age, and pregnancy number was constructed to predict OS in female ESCC patients. Compared to the clinical model and TNM stage, the time-dependent ROC and C-index of the clinical–reproductive model showed a good discriminative ability for predicting 1-, 3-, and 5-years OS in the primary training, internal and external validation sets. Based on the optimal cut-off value of total prognostic scores, patients were classified into high- and low-risk groups with significantly different OS. The estrogen response was significantly associated with p53 and apoptosis pathways in esophageal cancer. CONCLUSION: The clinical–reproductive prognostic nomogram has an incremental prognostic value compared with the clinical model and TNM stage in predicting OS in Chinese female ESCC patients. Baishideng Publishing Group Inc 2022-04-07 2022-04-07 /pmc/articles/PMC9099181/ /pubmed/35645543 http://dx.doi.org/10.3748/wjg.v28.i13.1347 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
spellingShingle Retrospective Study
Zhang, Dong-Yun
Ku, Jian-Wei
Zhao, Xue-Ke
Zhang, Hai-Yan
Song, Xin
Wu, Hong-Fang
Fan, Zong-Min
Xu, Rui-Hua
You, Duo
Wang, Ran
Zhou, Ruo-Xi
Wang, Li-Dong
Increased prognostic value of clinical–reproductive model in Chinese female patients with esophageal squamous cell carcinoma
title Increased prognostic value of clinical–reproductive model in Chinese female patients with esophageal squamous cell carcinoma
title_full Increased prognostic value of clinical–reproductive model in Chinese female patients with esophageal squamous cell carcinoma
title_fullStr Increased prognostic value of clinical–reproductive model in Chinese female patients with esophageal squamous cell carcinoma
title_full_unstemmed Increased prognostic value of clinical–reproductive model in Chinese female patients with esophageal squamous cell carcinoma
title_short Increased prognostic value of clinical–reproductive model in Chinese female patients with esophageal squamous cell carcinoma
title_sort increased prognostic value of clinical–reproductive model in chinese female patients with esophageal squamous cell carcinoma
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9099181/
https://www.ncbi.nlm.nih.gov/pubmed/35645543
http://dx.doi.org/10.3748/wjg.v28.i13.1347
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