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Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer
In this study, we used the ESTIMATE algorithm to analyze clinical data and transcriptome profiles of 1635 colorectal cancer (CRC) samples from the Gene Expression Omnibus and The Cancer Genome Atlas databases and identify prognostic immune-related genes (IRGs). We identified 941 differentially expre...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7950244/ https://www.ncbi.nlm.nih.gov/pubmed/33536348 http://dx.doi.org/10.18632/aging.202479 |
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author | Li, Wei Jin, Xiaojing Guo, Shang Xu, Fei Su, Xingkai Jiang, Xia Wang, Guiqi |
author_facet | Li, Wei Jin, Xiaojing Guo, Shang Xu, Fei Su, Xingkai Jiang, Xia Wang, Guiqi |
author_sort | Li, Wei |
collection | PubMed |
description | In this study, we used the ESTIMATE algorithm to analyze clinical data and transcriptome profiles of 1635 colorectal cancer (CRC) samples from the Gene Expression Omnibus and The Cancer Genome Atlas databases and identify prognostic immune-related genes (IRGs). We identified 941 differentially expressed (4 downregulated and 937 upregulated) genes by comparing samples with high and low immune, stromal scores and tumor purity. LASSO Cox regression analyses showed that the risk score based on a ten-IRG signature was an independent prognostic factor in CRC. The nomogram with pathological stages (TNM) and the ten-IRG signature showed a C-index of 0.769 (95% CI, 0.717-0.821), and area under ROC curve values of 0.788, 0.782 and 0.789 for 1-, 3-, and 5-year OS, respectively. TIMER database analysis showed positive correlation between the ten prognostic IRGs and the levels of tumor-infiltrated immune cells, including CD4(+) and CD8(+) T cells, macrophages, neutrophils, and dendritic cells. These findings demonstrate that this novel ten-IRG signature correlates with the pathological stages and the levels of multiple tumor-infiltrated immune cell types. This makes the ten-IRG signature a potential prognostic factor for CRC patients. |
format | Online Article Text |
id | pubmed-7950244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-79502442021-03-23 Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer Li, Wei Jin, Xiaojing Guo, Shang Xu, Fei Su, Xingkai Jiang, Xia Wang, Guiqi Aging (Albany NY) Research Paper In this study, we used the ESTIMATE algorithm to analyze clinical data and transcriptome profiles of 1635 colorectal cancer (CRC) samples from the Gene Expression Omnibus and The Cancer Genome Atlas databases and identify prognostic immune-related genes (IRGs). We identified 941 differentially expressed (4 downregulated and 937 upregulated) genes by comparing samples with high and low immune, stromal scores and tumor purity. LASSO Cox regression analyses showed that the risk score based on a ten-IRG signature was an independent prognostic factor in CRC. The nomogram with pathological stages (TNM) and the ten-IRG signature showed a C-index of 0.769 (95% CI, 0.717-0.821), and area under ROC curve values of 0.788, 0.782 and 0.789 for 1-, 3-, and 5-year OS, respectively. TIMER database analysis showed positive correlation between the ten prognostic IRGs and the levels of tumor-infiltrated immune cells, including CD4(+) and CD8(+) T cells, macrophages, neutrophils, and dendritic cells. These findings demonstrate that this novel ten-IRG signature correlates with the pathological stages and the levels of multiple tumor-infiltrated immune cell types. This makes the ten-IRG signature a potential prognostic factor for CRC patients. Impact Journals 2021-02-01 /pmc/articles/PMC7950244/ /pubmed/33536348 http://dx.doi.org/10.18632/aging.202479 Text en Copyright: © 2021 Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Li, Wei Jin, Xiaojing Guo, Shang Xu, Fei Su, Xingkai Jiang, Xia Wang, Guiqi Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer |
title | Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer |
title_full | Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer |
title_fullStr | Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer |
title_full_unstemmed | Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer |
title_short | Comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer |
title_sort | comprehensive analysis of prognostic immune-related genes in the tumor microenvironment of colorectal cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7950244/ https://www.ncbi.nlm.nih.gov/pubmed/33536348 http://dx.doi.org/10.18632/aging.202479 |
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