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Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis
BACKGROUND: Colon cancer is the most common type of gastrointestinal cancer and has high morbidity and mortality. Colon adenocarcinoma (COAD) is the main pathological type of colon cancer, and much evidence has supported the correlation between the prognosis of COAD and the immune system. The curren...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654612/ https://www.ncbi.nlm.nih.gov/pubmed/33167940 http://dx.doi.org/10.1186/s12885-020-07532-7 |
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author | Luo, Jihang Liu, Puyu Wang, Leibo Huang, Yi Wang, Yuanyan Geng, Wenjing Chen, Duo Bai, Yuju Yang, Ze |
author_facet | Luo, Jihang Liu, Puyu Wang, Leibo Huang, Yi Wang, Yuanyan Geng, Wenjing Chen, Duo Bai, Yuju Yang, Ze |
author_sort | Luo, Jihang |
collection | PubMed |
description | BACKGROUND: Colon cancer is the most common type of gastrointestinal cancer and has high morbidity and mortality. Colon adenocarcinoma (COAD) is the main pathological type of colon cancer, and much evidence has supported the correlation between the prognosis of COAD and the immune system. The current study aimed to develop a robust prognostic immune-related gene pair (IRGP) model to estimate the overall survival of patients with COAD. METHODS: The gene expression profiles and clinical information of patients with colon adenocarcinoma were obtained from the TCGA and GEO databases and were divided into training and validation cohorts. Immune genes were selected that showed a significant association with prognosis. RESULTS: Among 1647 immune genes, a model with 17 IRGPs was built that was significantly associated with OS in the training cohort. In the training and validation datasets, the IRGP model divided patients into the high-risk group and low-risk group, and the prognosis of the high-risk group was significantly worse (P<0.001). Univariate and multivariate Cox proportional hazard analyses confirmed the feasibility of this model. Functional analysis confirmed that multiple tumor progression and stem cell growth-related pathways were upregulated in the high-risk groups. Regulatory T cells and macrophages M0 were significantly highly expressed in the high-risk group. CONCLUSION: We successfully constructed an IRGP model that can predict the prognosis of COAD, providing new insights into the treatment strategy of COAD. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12885-020-07532-7. |
format | Online Article Text |
id | pubmed-7654612 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76546122020-11-12 Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis Luo, Jihang Liu, Puyu Wang, Leibo Huang, Yi Wang, Yuanyan Geng, Wenjing Chen, Duo Bai, Yuju Yang, Ze BMC Cancer Research Article BACKGROUND: Colon cancer is the most common type of gastrointestinal cancer and has high morbidity and mortality. Colon adenocarcinoma (COAD) is the main pathological type of colon cancer, and much evidence has supported the correlation between the prognosis of COAD and the immune system. The current study aimed to develop a robust prognostic immune-related gene pair (IRGP) model to estimate the overall survival of patients with COAD. METHODS: The gene expression profiles and clinical information of patients with colon adenocarcinoma were obtained from the TCGA and GEO databases and were divided into training and validation cohorts. Immune genes were selected that showed a significant association with prognosis. RESULTS: Among 1647 immune genes, a model with 17 IRGPs was built that was significantly associated with OS in the training cohort. In the training and validation datasets, the IRGP model divided patients into the high-risk group and low-risk group, and the prognosis of the high-risk group was significantly worse (P<0.001). Univariate and multivariate Cox proportional hazard analyses confirmed the feasibility of this model. Functional analysis confirmed that multiple tumor progression and stem cell growth-related pathways were upregulated in the high-risk groups. Regulatory T cells and macrophages M0 were significantly highly expressed in the high-risk group. CONCLUSION: We successfully constructed an IRGP model that can predict the prognosis of COAD, providing new insights into the treatment strategy of COAD. SUPPLEMENTARY INFORMATION: Supplementary information accompanies this paper at 10.1186/s12885-020-07532-7. BioMed Central 2020-11-09 /pmc/articles/PMC7654612/ /pubmed/33167940 http://dx.doi.org/10.1186/s12885-020-07532-7 Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Research Article Luo, Jihang Liu, Puyu Wang, Leibo Huang, Yi Wang, Yuanyan Geng, Wenjing Chen, Duo Bai, Yuju Yang, Ze Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis |
title | Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis |
title_full | Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis |
title_fullStr | Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis |
title_full_unstemmed | Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis |
title_short | Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis |
title_sort | establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7654612/ https://www.ncbi.nlm.nih.gov/pubmed/33167940 http://dx.doi.org/10.1186/s12885-020-07532-7 |
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