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Prognostic factors and the necessity of chemotherapy for stage II gastric cancer: a model based on multicenter retrospective study

BACKGROUND: This study aimed to construct a prognostic model for prognosis prediction and assess the response to adjuvant chemotherapy (ACT) of stage II gastric cancer (GC) patients on high and low survival risk stratifications. METHODS: We retrospectively reviewed 547 stage II gastric cancer patien...

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Autores principales: Fang, Jiaming, Zhang, Feiyang, Lu, Jun, Deng, Zijian, Li, Xianzhe, Chen, Xijie, Huang, Changming, Chen, Yingbo, Lian, Lei, Peng, Junsheng, Chen, Shi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167061/
https://www.ncbi.nlm.nih.gov/pubmed/37154867
http://dx.doi.org/10.1007/s12672-023-00663-w
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author Fang, Jiaming
Zhang, Feiyang
Lu, Jun
Deng, Zijian
Li, Xianzhe
Chen, Xijie
Huang, Changming
Chen, Yingbo
Lian, Lei
Peng, Junsheng
Chen, Shi
author_facet Fang, Jiaming
Zhang, Feiyang
Lu, Jun
Deng, Zijian
Li, Xianzhe
Chen, Xijie
Huang, Changming
Chen, Yingbo
Lian, Lei
Peng, Junsheng
Chen, Shi
author_sort Fang, Jiaming
collection PubMed
description BACKGROUND: This study aimed to construct a prognostic model for prognosis prediction and assess the response to adjuvant chemotherapy (ACT) of stage II gastric cancer (GC) patients on high and low survival risk stratifications. METHODS: We retrospectively reviewed 547 stage II gastric cancer patients who underwent D2 radical gastrectomy from January 2009 to May 2017 in Sixth Affiliated Hospital of Sun Yat-Sen University (SAH-SYSU), the Fujian Medical University Union Hospital (FJUUH), and the Sun Yat-Sen University Cancer Center (SYSUCC).The propensity score matching (PSM) of all variables was performed to balance selective bias between ACT and surgery alone (SA) groups. Kaplan–Meier survival and multivariate Cox regression analyses were carried out to identify independent prognostic factors. Independent factors selected by the Cox regression were integrated into the nomogram. The nomogram points stratified patients into high-risk and low-risk groups by the optimal cut-off value. RESULTS: 278 patients were selected after PSM. Age, tumor site, T stage and lymph-nodes-examined (LNE) selected by Cox regression as independent prognostic factors were integrated into the nomogram. The nomogram performed well with a C-index of 0.76 and with C-indexes of 0.73 in and 0.71 in two validate cohorts. AUCs of the 3 year and 5 year ROC curves were 0.81 and 0.78. High- and low-risk groups stratified by the cut-off value demonstrated different responses to ACT. CONCLUSIONS: The nomogram performed well in prognosis prediction. Patients in high- and low-risk groups demonstrated different responses to ACT, and high-risk patients might need ACT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-023-00663-w.
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spelling pubmed-101670612023-05-10 Prognostic factors and the necessity of chemotherapy for stage II gastric cancer: a model based on multicenter retrospective study Fang, Jiaming Zhang, Feiyang Lu, Jun Deng, Zijian Li, Xianzhe Chen, Xijie Huang, Changming Chen, Yingbo Lian, Lei Peng, Junsheng Chen, Shi Discov Oncol Research BACKGROUND: This study aimed to construct a prognostic model for prognosis prediction and assess the response to adjuvant chemotherapy (ACT) of stage II gastric cancer (GC) patients on high and low survival risk stratifications. METHODS: We retrospectively reviewed 547 stage II gastric cancer patients who underwent D2 radical gastrectomy from January 2009 to May 2017 in Sixth Affiliated Hospital of Sun Yat-Sen University (SAH-SYSU), the Fujian Medical University Union Hospital (FJUUH), and the Sun Yat-Sen University Cancer Center (SYSUCC).The propensity score matching (PSM) of all variables was performed to balance selective bias between ACT and surgery alone (SA) groups. Kaplan–Meier survival and multivariate Cox regression analyses were carried out to identify independent prognostic factors. Independent factors selected by the Cox regression were integrated into the nomogram. The nomogram points stratified patients into high-risk and low-risk groups by the optimal cut-off value. RESULTS: 278 patients were selected after PSM. Age, tumor site, T stage and lymph-nodes-examined (LNE) selected by Cox regression as independent prognostic factors were integrated into the nomogram. The nomogram performed well with a C-index of 0.76 and with C-indexes of 0.73 in and 0.71 in two validate cohorts. AUCs of the 3 year and 5 year ROC curves were 0.81 and 0.78. High- and low-risk groups stratified by the cut-off value demonstrated different responses to ACT. CONCLUSIONS: The nomogram performed well in prognosis prediction. Patients in high- and low-risk groups demonstrated different responses to ACT, and high-risk patients might need ACT. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12672-023-00663-w. Springer US 2023-05-08 /pmc/articles/PMC10167061/ /pubmed/37154867 http://dx.doi.org/10.1007/s12672-023-00663-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Fang, Jiaming
Zhang, Feiyang
Lu, Jun
Deng, Zijian
Li, Xianzhe
Chen, Xijie
Huang, Changming
Chen, Yingbo
Lian, Lei
Peng, Junsheng
Chen, Shi
Prognostic factors and the necessity of chemotherapy for stage II gastric cancer: a model based on multicenter retrospective study
title Prognostic factors and the necessity of chemotherapy for stage II gastric cancer: a model based on multicenter retrospective study
title_full Prognostic factors and the necessity of chemotherapy for stage II gastric cancer: a model based on multicenter retrospective study
title_fullStr Prognostic factors and the necessity of chemotherapy for stage II gastric cancer: a model based on multicenter retrospective study
title_full_unstemmed Prognostic factors and the necessity of chemotherapy for stage II gastric cancer: a model based on multicenter retrospective study
title_short Prognostic factors and the necessity of chemotherapy for stage II gastric cancer: a model based on multicenter retrospective study
title_sort prognostic factors and the necessity of chemotherapy for stage ii gastric cancer: a model based on multicenter retrospective study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167061/
https://www.ncbi.nlm.nih.gov/pubmed/37154867
http://dx.doi.org/10.1007/s12672-023-00663-w
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