Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Luo, Jihang, Liu, Puyu, Wang, Leibo, Huang, Yi, Wang, Yuanyan, Geng, Wenjing, Chen, Duo, Bai, Yuju, Yang, Ze
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
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
_version_ 1783608102096994304
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
work_keys_str_mv AT luojihang establishmentofanimmunerelatedgenepairmodeltopredictcolonadenocarcinomaprognosis
AT liupuyu establishmentofanimmunerelatedgenepairmodeltopredictcolonadenocarcinomaprognosis
AT wangleibo establishmentofanimmunerelatedgenepairmodeltopredictcolonadenocarcinomaprognosis
AT huangyi establishmentofanimmunerelatedgenepairmodeltopredictcolonadenocarcinomaprognosis
AT wangyuanyan establishmentofanimmunerelatedgenepairmodeltopredictcolonadenocarcinomaprognosis
AT gengwenjing establishmentofanimmunerelatedgenepairmodeltopredictcolonadenocarcinomaprognosis
AT chenduo establishmentofanimmunerelatedgenepairmodeltopredictcolonadenocarcinomaprognosis
AT baiyuju establishmentofanimmunerelatedgenepairmodeltopredictcolonadenocarcinomaprognosis
AT yangze establishmentofanimmunerelatedgenepairmodeltopredictcolonadenocarcinomaprognosis