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Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death. HBV infection is an important risk factor for the tumorigenesis of HCC, given that the inflammatory environment is closely related to morbidity and prognosis. Consequently, it is of urgent importance to explore the...

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Autores principales: Qin, Peng, Zhang, Mengyu, Liu, Xue, Dong, Ziming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570866/
https://www.ncbi.nlm.nih.gov/pubmed/34745496
http://dx.doi.org/10.1155/2021/3761858
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author Qin, Peng
Zhang, Mengyu
Liu, Xue
Dong, Ziming
author_facet Qin, Peng
Zhang, Mengyu
Liu, Xue
Dong, Ziming
author_sort Qin, Peng
collection PubMed
description Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death. HBV infection is an important risk factor for the tumorigenesis of HCC, given that the inflammatory environment is closely related to morbidity and prognosis. Consequently, it is of urgent importance to explore the immunogenomic landscape to supplement the prognosis of HCC. The expression profiles of immune‐related genes (IRGs) were integrated with 377 HCC patients to generate differentially expressed IRGs based on the Cancer Genome Atlas (TCGA) dataset. These IRGs were evaluated and assessed in terms of their diagnostic and prognostic values. A total of 32 differentially expressed immune‐related genes resulted as significantly correlated with the overall survival of HCC patients. The Gene Ontology functional enrichment analysis revealed that these genes were actively involved in cytokine‐cytokine receptor interaction. A prognostic signature based on IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) stratified patients into high-risk versus low-risk groups in terms of overall survival and remained as an independent prognostic factor in multivariate analyses after adjusting for clinical and pathologic factors. Several IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) of clinical significance were screened in the present study, revealing that the proposed clinical-immune signature is a promising risk score for predicting the prognosis of HCC.
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spelling pubmed-85708662021-11-06 Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma Qin, Peng Zhang, Mengyu Liu, Xue Dong, Ziming J Healthc Eng Research Article Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death. HBV infection is an important risk factor for the tumorigenesis of HCC, given that the inflammatory environment is closely related to morbidity and prognosis. Consequently, it is of urgent importance to explore the immunogenomic landscape to supplement the prognosis of HCC. The expression profiles of immune‐related genes (IRGs) were integrated with 377 HCC patients to generate differentially expressed IRGs based on the Cancer Genome Atlas (TCGA) dataset. These IRGs were evaluated and assessed in terms of their diagnostic and prognostic values. A total of 32 differentially expressed immune‐related genes resulted as significantly correlated with the overall survival of HCC patients. The Gene Ontology functional enrichment analysis revealed that these genes were actively involved in cytokine‐cytokine receptor interaction. A prognostic signature based on IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) stratified patients into high-risk versus low-risk groups in terms of overall survival and remained as an independent prognostic factor in multivariate analyses after adjusting for clinical and pathologic factors. Several IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) of clinical significance were screened in the present study, revealing that the proposed clinical-immune signature is a promising risk score for predicting the prognosis of HCC. Hindawi 2021-10-29 /pmc/articles/PMC8570866/ /pubmed/34745496 http://dx.doi.org/10.1155/2021/3761858 Text en Copyright © 2021 Peng Qin et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Qin, Peng
Zhang, Mengyu
Liu, Xue
Dong, Ziming
Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma
title Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma
title_full Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma
title_fullStr Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma
title_full_unstemmed Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma
title_short Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma
title_sort immunogenomic landscape analysis of prognostic immune-related genes in hepatocellular carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570866/
https://www.ncbi.nlm.nih.gov/pubmed/34745496
http://dx.doi.org/10.1155/2021/3761858
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