Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shuwei, Cheng, Liang, Jing, Fa, Li, Gan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
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
_version_ 1784764008870445056
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
work_keys_str_mv AT wangshuwei screeningandidentificationofimmunerelatedgenesforimmunotherapyandprognosticassessmentincolorectalcancerpatients
AT chengliang screeningandidentificationofimmunerelatedgenesforimmunotherapyandprognosticassessmentincolorectalcancerpatients
AT jingfa screeningandidentificationofimmunerelatedgenesforimmunotherapyandprognosticassessmentincolorectalcancerpatients
AT ligan screeningandidentificationofimmunerelatedgenesforimmunotherapyandprognosticassessmentincolorectalcancerpatients