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Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes
BACKGROUND: Colon adenocarcinoma (COAD) is one of the most common gastrointestinal tumors worldwide, and immunotherapy is one of the most promising treatments for it. Identifying immune genes involved in the development and maintenance of cancer is key to the use of tumor immunotherapy. This study a...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552517/ https://www.ncbi.nlm.nih.gov/pubmed/36221049 http://dx.doi.org/10.1186/s12859-022-04909-2 |
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author | Zhou, Rui Gao, Zhuowei Ju, Yongle |
author_facet | Zhou, Rui Gao, Zhuowei Ju, Yongle |
author_sort | Zhou, Rui |
collection | PubMed |
description | BACKGROUND: Colon adenocarcinoma (COAD) is one of the most common gastrointestinal tumors worldwide, and immunotherapy is one of the most promising treatments for it. Identifying immune genes involved in the development and maintenance of cancer is key to the use of tumor immunotherapy. This study aimed to determine the prognostic value of immune genes in patients with COAD and to establish an immune-related gene signature. Differentially expressed genes, immune-related genes (DEIGs), and transcription factors (DETFs) were screened using the following databases: Cistrome, The Cancer Genome Atlas (TCGA), the Immunology Database and Analysis Portal, and InnateDB. We constructed a network showing the regulation of DEIGs by DETFs. Using weighted gene co-expression network analysis, we prepared 5 co-expressed gene modules; 6 hub genes (CD1A, CD1B, FGF9, GRP, SERPINE1, and F2RL2) obtained using univariate and multivariate regression analysis were used to construct a risk model. Patients from TCGA database were divided into high- and low-risk groups based on whether their risk score was greater or less than the mean; the public dataset GSE40967, which contains gene expression profiles of 566 colon cancer patients, was used for validation. RESULTS: Survival analysis, somatic gene mutations, and tumor-infiltrating immune cells differed significantly between the high- and low-risk groups. CONCLUSIONS: This immune-related gene signature could play an important role in guiding treatment, making prognoses, and potentially developing future clinical applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04909-2. |
format | Online Article Text |
id | pubmed-9552517 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-95525172022-10-12 Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes Zhou, Rui Gao, Zhuowei Ju, Yongle BMC Bioinformatics Research BACKGROUND: Colon adenocarcinoma (COAD) is one of the most common gastrointestinal tumors worldwide, and immunotherapy is one of the most promising treatments for it. Identifying immune genes involved in the development and maintenance of cancer is key to the use of tumor immunotherapy. This study aimed to determine the prognostic value of immune genes in patients with COAD and to establish an immune-related gene signature. Differentially expressed genes, immune-related genes (DEIGs), and transcription factors (DETFs) were screened using the following databases: Cistrome, The Cancer Genome Atlas (TCGA), the Immunology Database and Analysis Portal, and InnateDB. We constructed a network showing the regulation of DEIGs by DETFs. Using weighted gene co-expression network analysis, we prepared 5 co-expressed gene modules; 6 hub genes (CD1A, CD1B, FGF9, GRP, SERPINE1, and F2RL2) obtained using univariate and multivariate regression analysis were used to construct a risk model. Patients from TCGA database were divided into high- and low-risk groups based on whether their risk score was greater or less than the mean; the public dataset GSE40967, which contains gene expression profiles of 566 colon cancer patients, was used for validation. RESULTS: Survival analysis, somatic gene mutations, and tumor-infiltrating immune cells differed significantly between the high- and low-risk groups. CONCLUSIONS: This immune-related gene signature could play an important role in guiding treatment, making prognoses, and potentially developing future clinical applications. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12859-022-04909-2. BioMed Central 2022-10-11 /pmc/articles/PMC9552517/ /pubmed/36221049 http://dx.doi.org/10.1186/s12859-022-04909-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (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 Zhou, Rui Gao, Zhuowei Ju, Yongle Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes |
title | Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes |
title_full | Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes |
title_fullStr | Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes |
title_full_unstemmed | Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes |
title_short | Novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes |
title_sort | novel six-gene prognostic signature based on colon adenocarcinoma immune-related genes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9552517/ https://www.ncbi.nlm.nih.gov/pubmed/36221049 http://dx.doi.org/10.1186/s12859-022-04909-2 |
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