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Screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients
BACKGROUND: Increasing evidence indicates that the immune microenvironment plays a key role in the genesis and progression of colorectal cancer (CRC). This study aimed to establish an immune-related gene (IRG) signature and determine its clinical prognostic value in patients with CRC. METHODS: The R...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358808/ https://www.ncbi.nlm.nih.gov/pubmed/35941638 http://dx.doi.org/10.1186/s12920-022-01329-2 |
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author | Wang, Shuwei Cheng, Liang Jing, Fa Li, Gan |
author_facet | Wang, Shuwei Cheng, Liang Jing, Fa Li, Gan |
author_sort | Wang, Shuwei |
collection | PubMed |
description | BACKGROUND: Increasing evidence indicates that the immune microenvironment plays a key role in the genesis and progression of colorectal cancer (CRC). This study aimed to establish an immune-related gene (IRG) signature and determine its clinical prognostic value in patients with CRC. METHODS: The RNA sequencing and associated clinical data of CRC were downloaded from The Cancer Genome Atlas (TCGA) database. We then screened for differentially expressed IRGs by intersecting with IRGs obtained from the Immunology Database and Analysis Portal. Functional enrichment analyses were carried out to determine the potential biological functions and pathways of the IRGs. We also explored the specific molecular mechanisms of the IRGs by constructing regulatory networks. Prognostic IRGs were obtained by LASSO regression analysis, and subsequently, gene models were constructed in the TCGA dataset to confirm the predictive capacity of these IRGs. Finally, we used the TIMER tool to assess the immune properties of prognostic IRGs and correlate them with immune cells. RESULTS: We identified 409 differentially expressed IRGs in patients with CRC. Kyoto Encyclopaedia of Genes and Genomes and Gene Ontology enrichment analyses suggested that these differentially expressed IRGs were significantly related to 102 cancer signalling pathways and various biological functions. Based on the prediction and interaction results, we obtained 59 TF–IRG, 48 miRNA–IRG, and 214 drug–IRG interaction networks for CRC. Four prognostic genes (POMC, TNFRSF19, FGF2, and SCG2) were developed by integrating 47 survival-related IRGs and 42 characteristic CRC genes. The results of gene model showed that patients in the low risk group had better survival outcomes compared to those in the high risk group. The expression of POMC, TNFRSF19, FGF2, and SCG2 was significantly correlated with immune cells. CONCLUSION: This study identified some valid IRGs, and these findings can provide strong evidence for precision immunotherapy in patients with CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01329-2. |
format | Online Article Text |
id | pubmed-9358808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93588082022-08-10 Screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients Wang, Shuwei Cheng, Liang Jing, Fa Li, Gan BMC Med Genomics Research BACKGROUND: Increasing evidence indicates that the immune microenvironment plays a key role in the genesis and progression of colorectal cancer (CRC). This study aimed to establish an immune-related gene (IRG) signature and determine its clinical prognostic value in patients with CRC. METHODS: The RNA sequencing and associated clinical data of CRC were downloaded from The Cancer Genome Atlas (TCGA) database. We then screened for differentially expressed IRGs by intersecting with IRGs obtained from the Immunology Database and Analysis Portal. Functional enrichment analyses were carried out to determine the potential biological functions and pathways of the IRGs. We also explored the specific molecular mechanisms of the IRGs by constructing regulatory networks. Prognostic IRGs were obtained by LASSO regression analysis, and subsequently, gene models were constructed in the TCGA dataset to confirm the predictive capacity of these IRGs. Finally, we used the TIMER tool to assess the immune properties of prognostic IRGs and correlate them with immune cells. RESULTS: We identified 409 differentially expressed IRGs in patients with CRC. Kyoto Encyclopaedia of Genes and Genomes and Gene Ontology enrichment analyses suggested that these differentially expressed IRGs were significantly related to 102 cancer signalling pathways and various biological functions. Based on the prediction and interaction results, we obtained 59 TF–IRG, 48 miRNA–IRG, and 214 drug–IRG interaction networks for CRC. Four prognostic genes (POMC, TNFRSF19, FGF2, and SCG2) were developed by integrating 47 survival-related IRGs and 42 characteristic CRC genes. The results of gene model showed that patients in the low risk group had better survival outcomes compared to those in the high risk group. The expression of POMC, TNFRSF19, FGF2, and SCG2 was significantly correlated with immune cells. CONCLUSION: This study identified some valid IRGs, and these findings can provide strong evidence for precision immunotherapy in patients with CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-022-01329-2. BioMed Central 2022-08-08 /pmc/articles/PMC9358808/ /pubmed/35941638 http://dx.doi.org/10.1186/s12920-022-01329-2 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 Wang, Shuwei Cheng, Liang Jing, Fa Li, Gan Screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients |
title | Screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients |
title_full | Screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients |
title_fullStr | Screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients |
title_full_unstemmed | Screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients |
title_short | Screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients |
title_sort | screening and identification of immune-related genes for immunotherapy and prognostic assessment in colorectal cancer patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358808/ https://www.ncbi.nlm.nih.gov/pubmed/35941638 http://dx.doi.org/10.1186/s12920-022-01329-2 |
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