Cargando…

Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy

BACKGROUND: Surgery is the only way to cure gastric adenocarcinoma (GAC), and chemotherapy is the basic adjuvant management for GAC. A significant prognostic nomogram for predicting the respective disease-specific survival (DSS) rates of GAC patients who receive surgery and chemotherapy has not been...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Chao-Yang, Yang, Jin, Zi, Hao, Zheng, Zhong-Li, Li, Bing-Hui, Wang, Yang, Ge, Zheng, Jian, Guang-Xu, Lyu, Jun, Li, Xiao-Dong, Ren, Xue-Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943892/
https://www.ncbi.nlm.nih.gov/pubmed/31906882
http://dx.doi.org/10.1186/s12885-019-6495-2
_version_ 1783484969879863296
author Wang, Chao-Yang
Yang, Jin
Zi, Hao
Zheng, Zhong-Li
Li, Bing-Hui
Wang, Yang
Ge, Zheng
Jian, Guang-Xu
Lyu, Jun
Li, Xiao-Dong
Ren, Xue-Qun
author_facet Wang, Chao-Yang
Yang, Jin
Zi, Hao
Zheng, Zhong-Li
Li, Bing-Hui
Wang, Yang
Ge, Zheng
Jian, Guang-Xu
Lyu, Jun
Li, Xiao-Dong
Ren, Xue-Qun
author_sort Wang, Chao-Yang
collection PubMed
description BACKGROUND: Surgery is the only way to cure gastric adenocarcinoma (GAC), and chemotherapy is the basic adjuvant management for GAC. A significant prognostic nomogram for predicting the respective disease-specific survival (DSS) rates of GAC patients who receive surgery and chemotherapy has not been established. OBJECTIVE: We were planning to establish a survival nomogram model for GAC patients who receive surgery and chemotherapy. METHODS: We identified 5764 GAC patients who had received surgery and chemotherapy from the record of Surveillance, Epidemiology, and End Results (SEER) database. About 70% (n = 4034) of the chosen GAC patients were randomly assigned to the training set, and the rest of the included ones (n = 1729) were assigned to the external validation set. A prognostic nomogram was constructed by the training set and the predictive accuracy of it was validated by the validation set. RESULTS: Based on the outcome of a multivariate analysis of candidate factors, a nomogram was developed that encompassed age at diagnosis, number of regional lymph nodes examined after surgery, number of positive regional lymph nodes, sex, race, grade, derived AJCC stage, summary stage, and radiotherapy status. The C-index (Harrell’s concordance index) of the nomogram model was some larger than that of the traditional seventh AJCC staging system (0.707 vs 0.661). Calibration plots of the constructed nomogram displayed that the probability of DSS commendably accord with the survival rate. Integrated discrimination improvement (IDI) revealed obvious increase and categorical net reclassification improvement (NRI) showed visible enhancement. IDI for 3-, 5- and 10- year DSS were 0.058, 0.059 and 0.058, respectively (P > 0.05), and NRI for 3-, 5- and 10- year DSS were 0.380 (95% CI = 0.316–0.470), 0.407 (95% CI = 0.350–0.505), and 0.413 (95% CI = 0.336–0.519), respectively. Decision curve analysis (DCA) proved that the constructed nomogram was preferable to the AJCC staging system. CONCLUSION: The constructed nomogram supplies more credible DSS predictions for GAC patients who receive surgery and chemotherapy in the general population. According to validation, the new nomogram will be beneficial in facilitating individualized survival predictions and useful when performing clinical decision-making for GAC patients who receive surgery and chemotherapy.
format Online
Article
Text
id pubmed-6943892
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-69438922020-01-07 Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy Wang, Chao-Yang Yang, Jin Zi, Hao Zheng, Zhong-Li Li, Bing-Hui Wang, Yang Ge, Zheng Jian, Guang-Xu Lyu, Jun Li, Xiao-Dong Ren, Xue-Qun BMC Cancer Research Article BACKGROUND: Surgery is the only way to cure gastric adenocarcinoma (GAC), and chemotherapy is the basic adjuvant management for GAC. A significant prognostic nomogram for predicting the respective disease-specific survival (DSS) rates of GAC patients who receive surgery and chemotherapy has not been established. OBJECTIVE: We were planning to establish a survival nomogram model for GAC patients who receive surgery and chemotherapy. METHODS: We identified 5764 GAC patients who had received surgery and chemotherapy from the record of Surveillance, Epidemiology, and End Results (SEER) database. About 70% (n = 4034) of the chosen GAC patients were randomly assigned to the training set, and the rest of the included ones (n = 1729) were assigned to the external validation set. A prognostic nomogram was constructed by the training set and the predictive accuracy of it was validated by the validation set. RESULTS: Based on the outcome of a multivariate analysis of candidate factors, a nomogram was developed that encompassed age at diagnosis, number of regional lymph nodes examined after surgery, number of positive regional lymph nodes, sex, race, grade, derived AJCC stage, summary stage, and radiotherapy status. The C-index (Harrell’s concordance index) of the nomogram model was some larger than that of the traditional seventh AJCC staging system (0.707 vs 0.661). Calibration plots of the constructed nomogram displayed that the probability of DSS commendably accord with the survival rate. Integrated discrimination improvement (IDI) revealed obvious increase and categorical net reclassification improvement (NRI) showed visible enhancement. IDI for 3-, 5- and 10- year DSS were 0.058, 0.059 and 0.058, respectively (P > 0.05), and NRI for 3-, 5- and 10- year DSS were 0.380 (95% CI = 0.316–0.470), 0.407 (95% CI = 0.350–0.505), and 0.413 (95% CI = 0.336–0.519), respectively. Decision curve analysis (DCA) proved that the constructed nomogram was preferable to the AJCC staging system. CONCLUSION: The constructed nomogram supplies more credible DSS predictions for GAC patients who receive surgery and chemotherapy in the general population. According to validation, the new nomogram will be beneficial in facilitating individualized survival predictions and useful when performing clinical decision-making for GAC patients who receive surgery and chemotherapy. BioMed Central 2020-01-06 /pmc/articles/PMC6943892/ /pubmed/31906882 http://dx.doi.org/10.1186/s12885-019-6495-2 Text en © The Author(s). 2020 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wang, Chao-Yang
Yang, Jin
Zi, Hao
Zheng, Zhong-Li
Li, Bing-Hui
Wang, Yang
Ge, Zheng
Jian, Guang-Xu
Lyu, Jun
Li, Xiao-Dong
Ren, Xue-Qun
Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy
title Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy
title_full Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy
title_fullStr Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy
title_full_unstemmed Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy
title_short Nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy
title_sort nomogram for predicting the survival of gastric adenocarcinoma patients who receive surgery and chemotherapy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943892/
https://www.ncbi.nlm.nih.gov/pubmed/31906882
http://dx.doi.org/10.1186/s12885-019-6495-2
work_keys_str_mv AT wangchaoyang nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT yangjin nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT zihao nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT zhengzhongli nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT libinghui nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT wangyang nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT gezheng nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT jianguangxu nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT lyujun nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT lixiaodong nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy
AT renxuequn nomogramforpredictingthesurvivalofgastricadenocarcinomapatientswhoreceivesurgeryandchemotherapy