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:	Peng Qin, Mengyu Zhang, Xue Liu, Ziming Dong
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/44112d3e71a34d728a2a616bfe6e16a1
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spelling	oai:doaj.org-article:44112d3e71a34d728a2a616bfe6e16a12021-11-08T02:36:49ZImmunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma2040-230910.1155/2021/3761858https://doaj.org/article/44112d3e71a34d728a2a616bfe6e16a12021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3761858https://doaj.org/toc/2040-2309Hepatocellular 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.Peng QinMengyu ZhangXue LiuZiming DongHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Peng Qin Mengyu Zhang Xue Liu Ziming Dong Immunogenomic Landscape Analysis of Prognostic Immune-Related Genes in Hepatocellular Carcinoma
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.
format	article
author	Peng Qin Mengyu Zhang Xue Liu Ziming Dong
author_facet	Peng Qin Mengyu Zhang Xue Liu Ziming Dong
author_sort	Peng Qin
title	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_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_sort	immunogenomic landscape analysis of prognostic immune-related genes in hepatocellular carcinoma
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/44112d3e71a34d728a2a616bfe6e16a1
work_keys_str_mv	AT pengqin immunogenomiclandscapeanalysisofprognosticimmunerelatedgenesinhepatocellularcarcinoma AT mengyuzhang immunogenomiclandscapeanalysisofprognosticimmunerelatedgenesinhepatocellularcarcinoma AT xueliu immunogenomiclandscapeanalysisofprognosticimmunerelatedgenesinhepatocellularcarcinoma AT zimingdong immunogenomiclandscapeanalysisofprognosticimmunerelatedgenesinhepatocellularcarcinoma
_version_	1718443086681473024

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

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