The novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma

Abstract Hepatocellular carcinoma (HCC) is one of the main causes of cancer deaths globally. Immunotherapy is becoming increasingly important in the cure of advanced HCC. Thus it is essential to identify biomarkers for treatment response and prognosis prediction. We searched publicly available datab...

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Autores principales:	Lunxu Li, Shilin Xia, Xueying Shi, Xu Chen, Dong Shang
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e1254189f2b0480895eef0df9105831d
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spelling	oai:doaj.org-article:e1254189f2b0480895eef0df9105831d2021-12-02T15:53:01ZThe novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma10.1038/s41598-021-89747-72045-2322https://doaj.org/article/e1254189f2b0480895eef0df9105831d2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-89747-7https://doaj.org/toc/2045-2322Abstract Hepatocellular carcinoma (HCC) is one of the main causes of cancer deaths globally. Immunotherapy is becoming increasingly important in the cure of advanced HCC. Thus it is essential to identify biomarkers for treatment response and prognosis prediction. We searched publicly available databases and retrieved 465 samples of genes from The Cancer Genome Atlas (TCGA) database and 115 tumor samples from Gene Expression Omnibus (GEO). Meanwhile, we used the ImmPort database to determine the immune-related genes as well. Weighted gene correlation network analysis, Cox regression analysis and least absolute shrinkage and selection operator (LASSO) analysis were used to identify the key immune related genes (IRGs) which are closely related to prognosis. Gene set enrichment analysis (GSEA) was implemented to explore the difference of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway between Immune high- and low-risk score groups. Finally, we made a prognostic nomogram including Immune-Risk score and other clinicopathologic factors. A total of 318 genes from prognosis related modules were identified through weighted gene co-expression network analysis (WGCNA). 46 genes were strongly linked to prognosis after univariate Cox analysis. We constructed a seven genes prognostic signature which showed powerful prediction ability in both training cohort and testing cohort. 16 significant KEGG pathways were identified between high- and low- risk score groups using GSEA analysis. This study identified and verified seven immune-related prognostic biomarkers for the patients with HCC, which have potential value for immune modulatory and therapeutic targets.Lunxu LiShilin XiaXueying ShiXu ChenDong ShangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lunxu Li Shilin Xia Xueying Shi Xu Chen Dong Shang The novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma
description	Abstract Hepatocellular carcinoma (HCC) is one of the main causes of cancer deaths globally. Immunotherapy is becoming increasingly important in the cure of advanced HCC. Thus it is essential to identify biomarkers for treatment response and prognosis prediction. We searched publicly available databases and retrieved 465 samples of genes from The Cancer Genome Atlas (TCGA) database and 115 tumor samples from Gene Expression Omnibus (GEO). Meanwhile, we used the ImmPort database to determine the immune-related genes as well. Weighted gene correlation network analysis, Cox regression analysis and least absolute shrinkage and selection operator (LASSO) analysis were used to identify the key immune related genes (IRGs) which are closely related to prognosis. Gene set enrichment analysis (GSEA) was implemented to explore the difference of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway between Immune high- and low-risk score groups. Finally, we made a prognostic nomogram including Immune-Risk score and other clinicopathologic factors. A total of 318 genes from prognosis related modules were identified through weighted gene co-expression network analysis (WGCNA). 46 genes were strongly linked to prognosis after univariate Cox analysis. We constructed a seven genes prognostic signature which showed powerful prediction ability in both training cohort and testing cohort. 16 significant KEGG pathways were identified between high- and low- risk score groups using GSEA analysis. This study identified and verified seven immune-related prognostic biomarkers for the patients with HCC, which have potential value for immune modulatory and therapeutic targets.
format	article
author	Lunxu Li Shilin Xia Xueying Shi Xu Chen Dong Shang
author_facet	Lunxu Li Shilin Xia Xueying Shi Xu Chen Dong Shang
author_sort	Lunxu Li
title	The novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma
title_short	The novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma
title_full	The novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma
title_fullStr	The novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma
title_full_unstemmed	The novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma
title_sort	novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/e1254189f2b0480895eef0df9105831d
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The novel immune-related genes predict the prognosis of patients with hepatocellular carcinoma

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