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IRF1 association with tumor immune microenvironment and use as a diagnostic biomarker for colorectal cancer recurrence

Colorectal cancer (CRC) is considered to be one of the most lethal cancer types globally, and its recurrence is a major treatment challenge. Identifying the factors involved when determining the risk of CRC recurrence is required to improve personalized therapy for patients with CRC. Based on the GS...

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Autores principales: Wu, Yanfang, Zhang, Shuju, Yan, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039159/
https://www.ncbi.nlm.nih.gov/pubmed/32194669
http://dx.doi.org/10.3892/ol.2020.11289
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author Wu, Yanfang
Zhang, Shuju
Yan, Jun
author_facet Wu, Yanfang
Zhang, Shuju
Yan, Jun
author_sort Wu, Yanfang
collection PubMed
description Colorectal cancer (CRC) is considered to be one of the most lethal cancer types globally, and its recurrence is a major treatment challenge. Identifying the factors involved when determining the risk of CRC recurrence is required to improve personalized therapy for patients with CRC. Based on the GSE39582 dataset, the present study demonstrated that a higher ratio of M1 macrophages and activated memory CD4(+) T cells indicated a better recurrence-free survival (RFS) time for CRC, using CIBERSORT and Pearson's correlation analysis. Through weighted correlation network analysis (WGCNA), an immune-associated module was identified that was significantly positively correlated with the ratio of M1 macrophages and activated memory CD4(+) T cells. In this module, using WGCNA and a protein-protein interaction network, interferon regulatory factor 1 (IRF1), chemokine ligand 5, ubiquitin/ISG15-conjugating enzyme E2 L6, guanylate binding protein 1 and interleukin 2 receptor subunit beta were identified as hub genes. Among these genes, univariate Cox and multivariate Cox analysis revealed that IRF1 may be a potential diagnostic biomarker for RFS in patients with CRC. This was further validated using The Cancer Genome Atlas data. Gene set enrichment analysis demonstrated that IRF1 influenced the genes and pathways that are associated with immune cell recruitment and activation. Additionally, the DNA methylation of cg27587780 and cg15375424 CpG sites in the IRF1 gene region was indicated to be negatively correlated with IRF1 mRNA expression and positively correlated with the recurrence of CRC. Collectively, the results of the present study demonstrated that IRF1 may be a potential diagnostic biomarker for RFS in patients with CRC.
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spelling pubmed-70391592020-03-19 IRF1 association with tumor immune microenvironment and use as a diagnostic biomarker for colorectal cancer recurrence Wu, Yanfang Zhang, Shuju Yan, Jun Oncol Lett Articles Colorectal cancer (CRC) is considered to be one of the most lethal cancer types globally, and its recurrence is a major treatment challenge. Identifying the factors involved when determining the risk of CRC recurrence is required to improve personalized therapy for patients with CRC. Based on the GSE39582 dataset, the present study demonstrated that a higher ratio of M1 macrophages and activated memory CD4(+) T cells indicated a better recurrence-free survival (RFS) time for CRC, using CIBERSORT and Pearson's correlation analysis. Through weighted correlation network analysis (WGCNA), an immune-associated module was identified that was significantly positively correlated with the ratio of M1 macrophages and activated memory CD4(+) T cells. In this module, using WGCNA and a protein-protein interaction network, interferon regulatory factor 1 (IRF1), chemokine ligand 5, ubiquitin/ISG15-conjugating enzyme E2 L6, guanylate binding protein 1 and interleukin 2 receptor subunit beta were identified as hub genes. Among these genes, univariate Cox and multivariate Cox analysis revealed that IRF1 may be a potential diagnostic biomarker for RFS in patients with CRC. This was further validated using The Cancer Genome Atlas data. Gene set enrichment analysis demonstrated that IRF1 influenced the genes and pathways that are associated with immune cell recruitment and activation. Additionally, the DNA methylation of cg27587780 and cg15375424 CpG sites in the IRF1 gene region was indicated to be negatively correlated with IRF1 mRNA expression and positively correlated with the recurrence of CRC. Collectively, the results of the present study demonstrated that IRF1 may be a potential diagnostic biomarker for RFS in patients with CRC. D.A. Spandidos 2020-03 2020-01-10 /pmc/articles/PMC7039159/ /pubmed/32194669 http://dx.doi.org/10.3892/ol.2020.11289 Text en Copyright: © Wu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wu, Yanfang
Zhang, Shuju
Yan, Jun
IRF1 association with tumor immune microenvironment and use as a diagnostic biomarker for colorectal cancer recurrence
title IRF1 association with tumor immune microenvironment and use as a diagnostic biomarker for colorectal cancer recurrence
title_full IRF1 association with tumor immune microenvironment and use as a diagnostic biomarker for colorectal cancer recurrence
title_fullStr IRF1 association with tumor immune microenvironment and use as a diagnostic biomarker for colorectal cancer recurrence
title_full_unstemmed IRF1 association with tumor immune microenvironment and use as a diagnostic biomarker for colorectal cancer recurrence
title_short IRF1 association with tumor immune microenvironment and use as a diagnostic biomarker for colorectal cancer recurrence
title_sort irf1 association with tumor immune microenvironment and use as a diagnostic biomarker for colorectal cancer recurrence
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039159/
https://www.ncbi.nlm.nih.gov/pubmed/32194669
http://dx.doi.org/10.3892/ol.2020.11289
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