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Identifying the long-term survival beneficiary of chemotherapy for stage N1c sigmoid colon cancer

Sigmoid colon cancer often has an unsatisfactory prognosis. This study explored the effect of tumor deposits (TDs) on survival, and whether their presence/absence influence individualized treatment. Data of postoperative patients with sigmoid colon cancer were extracted from the Surveillance, Epidem...

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Autores principales: Liu, Shan, Lin, Yaobin, Huang, Sihan, Xue, Shufang, Huang, Ruoyao, Chen, Lu, Wang, Chengyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546836/
https://www.ncbi.nlm.nih.gov/pubmed/36207378
http://dx.doi.org/10.1038/s41598-022-21331-z
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author Liu, Shan
Lin, Yaobin
Huang, Sihan
Xue, Shufang
Huang, Ruoyao
Chen, Lu
Wang, Chengyi
author_facet Liu, Shan
Lin, Yaobin
Huang, Sihan
Xue, Shufang
Huang, Ruoyao
Chen, Lu
Wang, Chengyi
author_sort Liu, Shan
collection PubMed
description Sigmoid colon cancer often has an unsatisfactory prognosis. This study explored the effect of tumor deposits (TDs) on survival, and whether their presence/absence influence individualized treatment. Data of postoperative patients with sigmoid colon cancer were extracted from the Surveillance, Epidemiology, and End Results database. Overall survival (OS) was calculated using the Kaplan–Meier method and prognostic factors were identified using Cox regression analysis and random forest (RF). The nomogram's discrimination performance was evaluated using a concordance index (C-index), integrated discrimination improvement (IDI), calibration curves, and decision-curve analysis. The N1c group showed a worse prognosis than the N0 group. For N1c patients, a combination of surgery and chemotherapy prolonged survival, compared to surgery alone; however, the chemotherapy-surgery combination did not affect the OS of patients younger than 70 years, in stage T1–2, and/or of black race. Multivariable analysis and RF presented Age, T stage, and N stage were the most important predictors for OS. The novel nomogram had superiority to the TNM staging system with improved C-index and IDI, as well as good consistency and higher clinical benefit. TDs are associated with poor survival from sigmoid colon cancer, and considering TDs can inform the formulation of individual treatment regimens. The nomogram shows satisfactory prediction ability for OS.
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spelling pubmed-95468362022-10-09 Identifying the long-term survival beneficiary of chemotherapy for stage N1c sigmoid colon cancer Liu, Shan Lin, Yaobin Huang, Sihan Xue, Shufang Huang, Ruoyao Chen, Lu Wang, Chengyi Sci Rep Article Sigmoid colon cancer often has an unsatisfactory prognosis. This study explored the effect of tumor deposits (TDs) on survival, and whether their presence/absence influence individualized treatment. Data of postoperative patients with sigmoid colon cancer were extracted from the Surveillance, Epidemiology, and End Results database. Overall survival (OS) was calculated using the Kaplan–Meier method and prognostic factors were identified using Cox regression analysis and random forest (RF). The nomogram's discrimination performance was evaluated using a concordance index (C-index), integrated discrimination improvement (IDI), calibration curves, and decision-curve analysis. The N1c group showed a worse prognosis than the N0 group. For N1c patients, a combination of surgery and chemotherapy prolonged survival, compared to surgery alone; however, the chemotherapy-surgery combination did not affect the OS of patients younger than 70 years, in stage T1–2, and/or of black race. Multivariable analysis and RF presented Age, T stage, and N stage were the most important predictors for OS. The novel nomogram had superiority to the TNM staging system with improved C-index and IDI, as well as good consistency and higher clinical benefit. TDs are associated with poor survival from sigmoid colon cancer, and considering TDs can inform the formulation of individual treatment regimens. The nomogram shows satisfactory prediction ability for OS. Nature Publishing Group UK 2022-10-07 /pmc/articles/PMC9546836/ /pubmed/36207378 http://dx.doi.org/10.1038/s41598-022-21331-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article
Liu, Shan
Lin, Yaobin
Huang, Sihan
Xue, Shufang
Huang, Ruoyao
Chen, Lu
Wang, Chengyi
Identifying the long-term survival beneficiary of chemotherapy for stage N1c sigmoid colon cancer
title Identifying the long-term survival beneficiary of chemotherapy for stage N1c sigmoid colon cancer
title_full Identifying the long-term survival beneficiary of chemotherapy for stage N1c sigmoid colon cancer
title_fullStr Identifying the long-term survival beneficiary of chemotherapy for stage N1c sigmoid colon cancer
title_full_unstemmed Identifying the long-term survival beneficiary of chemotherapy for stage N1c sigmoid colon cancer
title_short Identifying the long-term survival beneficiary of chemotherapy for stage N1c sigmoid colon cancer
title_sort identifying the long-term survival beneficiary of chemotherapy for stage n1c sigmoid colon cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546836/
https://www.ncbi.nlm.nih.gov/pubmed/36207378
http://dx.doi.org/10.1038/s41598-022-21331-z
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