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Identification of an Immune Gene Signature Based on Tumor Microenvironment Characteristics in Colon Adenocarcinoma
Tumor microenvironment (TME) changes are related to the occurrence and development of colon adenocarcinoma (COAD). This study aimed to analyze the characteristics of the immune microenvironment in CC, as well as the microenvironment’s relationship with the clinical features of CC. Based on The Cance...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020110/ https://www.ncbi.nlm.nih.gov/pubmed/33787354 http://dx.doi.org/10.1177/09636897211001314 |
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author | Chen, Ying Zhao, Jia |
author_facet | Chen, Ying Zhao, Jia |
author_sort | Chen, Ying |
collection | PubMed |
description | Tumor microenvironment (TME) changes are related to the occurrence and development of colon adenocarcinoma (COAD). This study aimed to analyze the characteristics of the immune microenvironment in CC, as well as the microenvironment’s relationship with the clinical features of CC. Based on The Cancer Genome Atlas (TCGA) and GSE39582 cohorts, the scores of 22 tumor infiltrating lymphocytes (TILs) were calculated using CIBERSORT. ConsensusClusterPlus was used for unsupervised clustering. Three TME subtypes (TMEC1, TMEC2, and TME3) were identified based on TIL scores. TMEC2 was associated with the worst prognosis. Random forest, k-means clustering, and principal component analysis were used to construct the TME score risk signature. The median TME score was used to divide the samples into high- and low-risk groups. The prognoses of the patients with high TME scores were worse than those of the patients with low TME scores. A high TME score was an independent prognostic risk factor for patients with colon cancer. The Gene Set Enrichment Analysis (GSEA) results showed that those with high TME scores were enriched in FOCAL_ADHESION, ECM_RECEPTOR_INTERACTION, and PATHWAYS_IN_CANCER. Our findings will provide a new strategy for immunotherapy in patients with CC. |
format | Online Article Text |
id | pubmed-8020110 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-80201102021-04-16 Identification of an Immune Gene Signature Based on Tumor Microenvironment Characteristics in Colon Adenocarcinoma Chen, Ying Zhao, Jia Cell Transplant Original Article Tumor microenvironment (TME) changes are related to the occurrence and development of colon adenocarcinoma (COAD). This study aimed to analyze the characteristics of the immune microenvironment in CC, as well as the microenvironment’s relationship with the clinical features of CC. Based on The Cancer Genome Atlas (TCGA) and GSE39582 cohorts, the scores of 22 tumor infiltrating lymphocytes (TILs) were calculated using CIBERSORT. ConsensusClusterPlus was used for unsupervised clustering. Three TME subtypes (TMEC1, TMEC2, and TME3) were identified based on TIL scores. TMEC2 was associated with the worst prognosis. Random forest, k-means clustering, and principal component analysis were used to construct the TME score risk signature. The median TME score was used to divide the samples into high- and low-risk groups. The prognoses of the patients with high TME scores were worse than those of the patients with low TME scores. A high TME score was an independent prognostic risk factor for patients with colon cancer. The Gene Set Enrichment Analysis (GSEA) results showed that those with high TME scores were enriched in FOCAL_ADHESION, ECM_RECEPTOR_INTERACTION, and PATHWAYS_IN_CANCER. Our findings will provide a new strategy for immunotherapy in patients with CC. SAGE Publications 2021-03-31 /pmc/articles/PMC8020110/ /pubmed/33787354 http://dx.doi.org/10.1177/09636897211001314 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Article Chen, Ying Zhao, Jia Identification of an Immune Gene Signature Based on Tumor Microenvironment Characteristics in Colon Adenocarcinoma |
title | Identification of an Immune Gene Signature Based on Tumor
Microenvironment Characteristics in Colon Adenocarcinoma |
title_full | Identification of an Immune Gene Signature Based on Tumor
Microenvironment Characteristics in Colon Adenocarcinoma |
title_fullStr | Identification of an Immune Gene Signature Based on Tumor
Microenvironment Characteristics in Colon Adenocarcinoma |
title_full_unstemmed | Identification of an Immune Gene Signature Based on Tumor
Microenvironment Characteristics in Colon Adenocarcinoma |
title_short | Identification of an Immune Gene Signature Based on Tumor
Microenvironment Characteristics in Colon Adenocarcinoma |
title_sort | identification of an immune gene signature based on tumor
microenvironment characteristics in colon adenocarcinoma |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020110/ https://www.ncbi.nlm.nih.gov/pubmed/33787354 http://dx.doi.org/10.1177/09636897211001314 |
work_keys_str_mv | AT chenying identificationofanimmunegenesignaturebasedontumormicroenvironmentcharacteristicsincolonadenocarcinoma AT zhaojia identificationofanimmunegenesignaturebasedontumormicroenvironmentcharacteristicsincolonadenocarcinoma |