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Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer

Tumor mutation burden (TMB) level is identified as a useful predictor in multiple tumors including colon adenocarcinoma (COAD). However, the function of TMB related genes has not been explored previously. In this study, we obtained patients’ expression and clinical data from The Cancer Genome Atlas...

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Autores principales: Zhao, Yan, Liang, Xiaolong, Duan, Xudong, Zhang, Chengli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214595/
https://www.ncbi.nlm.nih.gov/pubmed/37237274
http://dx.doi.org/10.1186/s12920-023-01555-2
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author Zhao, Yan
Liang, Xiaolong
Duan, Xudong
Zhang, Chengli
author_facet Zhao, Yan
Liang, Xiaolong
Duan, Xudong
Zhang, Chengli
author_sort Zhao, Yan
collection PubMed
description Tumor mutation burden (TMB) level is identified as a useful predictor in multiple tumors including colon adenocarcinoma (COAD). However, the function of TMB related genes has not been explored previously. In this study, we obtained patients’ expression and clinical data from The Cancer Genome Atlas (TCGA) and the National Center for Biotechnology Information (NCBI). TMB genes were screened and subjected to differential expression analysis. Univariate Cox and LASSO analyses were utilized to construct the prognostic signature. The efficiency of the signature was tested by using a receiver operating characteristic (ROC) curve. A nomogram was further plotted to assess the overall survival (OS) time of patients with COAD. In addition, we compared the predictive performance of our signature with other four published signatures. Functional analyses indicated that patients in the low-risk group have obviously different enrichment of tumor related pathways and tumor infiltrating immune cells from that of high-risk patients. Our findings suggested that the ten genes’ prognostic signature could exert undeniable prognostic functions in patients with COAD, which might provide significant clues for the development of personalized management of these patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01555-2.
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spelling pubmed-102145952023-05-27 Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer Zhao, Yan Liang, Xiaolong Duan, Xudong Zhang, Chengli BMC Med Genomics Research Tumor mutation burden (TMB) level is identified as a useful predictor in multiple tumors including colon adenocarcinoma (COAD). However, the function of TMB related genes has not been explored previously. In this study, we obtained patients’ expression and clinical data from The Cancer Genome Atlas (TCGA) and the National Center for Biotechnology Information (NCBI). TMB genes were screened and subjected to differential expression analysis. Univariate Cox and LASSO analyses were utilized to construct the prognostic signature. The efficiency of the signature was tested by using a receiver operating characteristic (ROC) curve. A nomogram was further plotted to assess the overall survival (OS) time of patients with COAD. In addition, we compared the predictive performance of our signature with other four published signatures. Functional analyses indicated that patients in the low-risk group have obviously different enrichment of tumor related pathways and tumor infiltrating immune cells from that of high-risk patients. Our findings suggested that the ten genes’ prognostic signature could exert undeniable prognostic functions in patients with COAD, which might provide significant clues for the development of personalized management of these patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01555-2. BioMed Central 2023-05-26 /pmc/articles/PMC10214595/ /pubmed/37237274 http://dx.doi.org/10.1186/s12920-023-01555-2 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhao, Yan
Liang, Xiaolong
Duan, Xudong
Zhang, Chengli
Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer
title Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer
title_full Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer
title_fullStr Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer
title_full_unstemmed Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer
title_short Exploring the prognostic function of TMB-related prognostic signature in patients with colon cancer
title_sort exploring the prognostic function of tmb-related prognostic signature in patients with colon cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10214595/
https://www.ncbi.nlm.nih.gov/pubmed/37237274
http://dx.doi.org/10.1186/s12920-023-01555-2
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