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Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery

BACKGROUND: Neoadjuvant chemotherapy (NAC) with subsequent radical surgery has become a popular treatment modality for advanced gastric cancer (AGC) worldwide. However, the survival benefit is still controversial, and prognostic factors remain undetermined. AIM: To identify clinical parameters that...

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Autores principales: Chen, Yonghe, Liu, Dan, Xiao, Jian, Xiang, Jun, Liu, Aihong, Chen, Shi, Liu, Junjie, Hu, Xiansheng, Peng, Junsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8337164/
https://www.ncbi.nlm.nih.gov/pubmed/34367276
http://dx.doi.org/10.1155/2021/2923700
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author Chen, Yonghe
Liu, Dan
Xiao, Jian
Xiang, Jun
Liu, Aihong
Chen, Shi
Liu, Junjie
Hu, Xiansheng
Peng, Junsheng
author_facet Chen, Yonghe
Liu, Dan
Xiao, Jian
Xiang, Jun
Liu, Aihong
Chen, Shi
Liu, Junjie
Hu, Xiansheng
Peng, Junsheng
author_sort Chen, Yonghe
collection PubMed
description BACKGROUND: Neoadjuvant chemotherapy (NAC) with subsequent radical surgery has become a popular treatment modality for advanced gastric cancer (AGC) worldwide. However, the survival benefit is still controversial, and prognostic factors remain undetermined. AIM: To identify clinical parameters that are associated with the survival of AGC patients after NAC and radical surgery and to establish a nomogram integrating multiple factors to predict survival. METHODS: We reviewed the medical profiles of 215 AGC patients who received NAC and radical resection, and clinical parameters concerning NAC, surgery, pathological findings, and adjuvant chemotherapy were analyzed using a Cox regression model to determine their impact on survival. Based on these factors, a nomogram was developed and validated. RESULTS: The overall 1-year and 3-year survival rates were 85.8% and 55.6%, respectively. Younger age (<60 years old), increased examined lymph nodes (exLNs), successful R0 resection, the achievement of pathological complete response (pCR), and acceptance of adjuvant chemotherapy were positive predictors of survival. The C-index of the established nomogram was 0.785. The area under receiver operating curve (ROC) at 1/3 years of prediction was 0.694/0.736, respectively. The model showed an ideal calibration following internal bootstrap validation. CONCLUSION: A nomogram predicting survival after NAC and surgery was established. Since this nomogram exhibited satisfactory and stable predictive power, it can be inferred that this is a practical tool for predicting AGC patient survival after NAC and radical surgery.
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spelling pubmed-83371642021-08-05 Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery Chen, Yonghe Liu, Dan Xiao, Jian Xiang, Jun Liu, Aihong Chen, Shi Liu, Junjie Hu, Xiansheng Peng, Junsheng Gastroenterol Res Pract Research Article BACKGROUND: Neoadjuvant chemotherapy (NAC) with subsequent radical surgery has become a popular treatment modality for advanced gastric cancer (AGC) worldwide. However, the survival benefit is still controversial, and prognostic factors remain undetermined. AIM: To identify clinical parameters that are associated with the survival of AGC patients after NAC and radical surgery and to establish a nomogram integrating multiple factors to predict survival. METHODS: We reviewed the medical profiles of 215 AGC patients who received NAC and radical resection, and clinical parameters concerning NAC, surgery, pathological findings, and adjuvant chemotherapy were analyzed using a Cox regression model to determine their impact on survival. Based on these factors, a nomogram was developed and validated. RESULTS: The overall 1-year and 3-year survival rates were 85.8% and 55.6%, respectively. Younger age (<60 years old), increased examined lymph nodes (exLNs), successful R0 resection, the achievement of pathological complete response (pCR), and acceptance of adjuvant chemotherapy were positive predictors of survival. The C-index of the established nomogram was 0.785. The area under receiver operating curve (ROC) at 1/3 years of prediction was 0.694/0.736, respectively. The model showed an ideal calibration following internal bootstrap validation. CONCLUSION: A nomogram predicting survival after NAC and surgery was established. Since this nomogram exhibited satisfactory and stable predictive power, it can be inferred that this is a practical tool for predicting AGC patient survival after NAC and radical surgery. Hindawi 2021-07-28 /pmc/articles/PMC8337164/ /pubmed/34367276 http://dx.doi.org/10.1155/2021/2923700 Text en Copyright © 2021 Yonghe Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Yonghe
Liu, Dan
Xiao, Jian
Xiang, Jun
Liu, Aihong
Chen, Shi
Liu, Junjie
Hu, Xiansheng
Peng, Junsheng
Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery
title Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery
title_full Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery
title_fullStr Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery
title_full_unstemmed Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery
title_short Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery
title_sort nomogram for predicting survival in advanced gastric cancer after neoadjuvant chemotherapy and radical surgery
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8337164/
https://www.ncbi.nlm.nih.gov/pubmed/34367276
http://dx.doi.org/10.1155/2021/2923700
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