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Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer
Costimulatory molecules can promote the activation and proliferation of T cells and play an essential role in immunotherapy. However, their role in the prognosis of colon adenocarcinoma remains elusive. In this study, the expression data of costimulatory molecules and clinicopathological information...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842650/ https://www.ncbi.nlm.nih.gov/pubmed/36646765 http://dx.doi.org/10.1038/s41598-023-27826-7 |
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author | Huang, Wanze Su, Duntao Liao, Xin Yang, Tongtong Lu, Yan Zhang, Zhejia |
author_facet | Huang, Wanze Su, Duntao Liao, Xin Yang, Tongtong Lu, Yan Zhang, Zhejia |
author_sort | Huang, Wanze |
collection | PubMed |
description | Costimulatory molecules can promote the activation and proliferation of T cells and play an essential role in immunotherapy. However, their role in the prognosis of colon adenocarcinoma remains elusive. In this study, the expression data of costimulatory molecules and clinicopathological information of 429 patients with colon adenocarcinoma were obtained from The Cancer Genome Atlas database. The patients were divided into training and verification cohorts. Correlation, Cox regression, and Lasso regression analyses were performed to identify costimulatory molecules related to prognosis. After mentioning the construction of the risk mode, a nomogram integrating the clinical characteristics and risk scores of patients was constructed to predict prognosis. Eventually, three prognostic costimulatory molecules were identified and used for constructing a risk model. High expression of these three molecules indicated a poor prognosis. The predictive accuracy of the risk model was verified in the GSE17536 dataset. Subsequently, multivariate regression analysis showed that the signature based on the three costimulatory molecules was an independent risk factor in the training cohort (HR = 2.12; 95% CI = 1.26, 3.56). Based on the risk model and clinicopathological data, the AUC values for predicting the 1-, 3-, and 5-year survival probability of patients with colon adenocarcinoma were 0.77, 0.77, and 0.71, respectively. To the best of our knowledge, this study is the first to report a risk signature constructed based on the costimulatory molecules TNFRSF10c, TNFRSF13c, and TNFRSF11a. This risk signature can serve as a prognostic biomarker for colon adenocarcinoma and is related to the immunotherapeutic response of patients. |
format | Online Article Text |
id | pubmed-9842650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98426502023-01-18 Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer Huang, Wanze Su, Duntao Liao, Xin Yang, Tongtong Lu, Yan Zhang, Zhejia Sci Rep Article Costimulatory molecules can promote the activation and proliferation of T cells and play an essential role in immunotherapy. However, their role in the prognosis of colon adenocarcinoma remains elusive. In this study, the expression data of costimulatory molecules and clinicopathological information of 429 patients with colon adenocarcinoma were obtained from The Cancer Genome Atlas database. The patients were divided into training and verification cohorts. Correlation, Cox regression, and Lasso regression analyses were performed to identify costimulatory molecules related to prognosis. After mentioning the construction of the risk mode, a nomogram integrating the clinical characteristics and risk scores of patients was constructed to predict prognosis. Eventually, three prognostic costimulatory molecules were identified and used for constructing a risk model. High expression of these three molecules indicated a poor prognosis. The predictive accuracy of the risk model was verified in the GSE17536 dataset. Subsequently, multivariate regression analysis showed that the signature based on the three costimulatory molecules was an independent risk factor in the training cohort (HR = 2.12; 95% CI = 1.26, 3.56). Based on the risk model and clinicopathological data, the AUC values for predicting the 1-, 3-, and 5-year survival probability of patients with colon adenocarcinoma were 0.77, 0.77, and 0.71, respectively. To the best of our knowledge, this study is the first to report a risk signature constructed based on the costimulatory molecules TNFRSF10c, TNFRSF13c, and TNFRSF11a. This risk signature can serve as a prognostic biomarker for colon adenocarcinoma and is related to the immunotherapeutic response of patients. Nature Publishing Group UK 2023-01-16 /pmc/articles/PMC9842650/ /pubmed/36646765 http://dx.doi.org/10.1038/s41598-023-27826-7 Text en © The Author(s) 2023 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 Huang, Wanze Su, Duntao Liao, Xin Yang, Tongtong Lu, Yan Zhang, Zhejia Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer |
title | Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer |
title_full | Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer |
title_fullStr | Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer |
title_full_unstemmed | Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer |
title_short | Prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer |
title_sort | prognostic costimulatory molecule-related signature risk model correlates with immunotherapy response in colon cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842650/ https://www.ncbi.nlm.nih.gov/pubmed/36646765 http://dx.doi.org/10.1038/s41598-023-27826-7 |
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