Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms

Long noncoding RNAs (lncRNAs) are emerging as critical regulators of gene expression and play fundamental roles in immune regulation. Growing evidence suggests that immune-related genes and lncRNAs can serve as markers to predict the prognosis of patients with cancers, including hepatocellular carci...

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Autores principales: Xiang-Xu Wang, Li-Hong Wu, Liping Ai, Wei Pan, Jing-Yi Ren, Qiong Zhang, Hong-Mei Zhang
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/33d778e44f4c4536b45e072f06514a99
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spelling oai:doaj.org-article:33d778e44f4c4536b45e072f06514a992021-11-26T04:27:46ZConstruction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms2162-253110.1016/j.omtn.2021.11.006https://doaj.org/article/33d778e44f4c4536b45e072f06514a992021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S216225312100281Xhttps://doaj.org/toc/2162-2531Long noncoding RNAs (lncRNAs) are emerging as critical regulators of gene expression and play fundamental roles in immune regulation. Growing evidence suggests that immune-related genes and lncRNAs can serve as markers to predict the prognosis of patients with cancers, including hepatocellular carcinoma (HCC). This study aimed to contract an immune-related lncRNA (IR-lncRNA) signature for prospective assessment to predict early recurrence of HCC. A total of 319 HCC samples under radical resection were randomly divided into a training cohort (161 samples) and a testing cohort (158 samples). In the training dataset, univariate, lasso, and multivariate Cox regression analyses identified a 9-IR-lncRNA signature closely related to disease-free survival. Kaplan-Meier analysis, principal component analysis, gene set enrichment analysis, and nomogram were used to evaluate the risk model. The results were further confirmed in the testing cohort. Furthermore, we constructed a competitive endogenous RNA regulatory network. The results of the present study indicated that this 9-IR-lncRNA signature has important clinical implications for improving predictive outcomes and guiding individualized treatment in HCC patients. These IR-lncRNAs and regulated genes may be potential biomarkers associated with the prognosis of HCC.Xiang-Xu WangLi-Hong WuLiping AiWei PanJing-Yi RenQiong ZhangHong-Mei ZhangElsevierarticlehepatocellular carcinomarecurrencelncRNAimmune microenvironmentceRNATherapeutics. PharmacologyRM1-950ENMolecular Therapy: Nucleic Acids, Vol 26, Iss , Pp 1387-1400 (2021)
institution DOAJ
collection DOAJ
language EN
topic hepatocellular carcinoma
recurrence
lncRNA
immune microenvironment
ceRNA
Therapeutics. Pharmacology
RM1-950
spellingShingle hepatocellular carcinoma
recurrence
lncRNA
immune microenvironment
ceRNA
Therapeutics. Pharmacology
RM1-950
Xiang-Xu Wang
Li-Hong Wu
Liping Ai
Wei Pan
Jing-Yi Ren
Qiong Zhang
Hong-Mei Zhang
Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms
description Long noncoding RNAs (lncRNAs) are emerging as critical regulators of gene expression and play fundamental roles in immune regulation. Growing evidence suggests that immune-related genes and lncRNAs can serve as markers to predict the prognosis of patients with cancers, including hepatocellular carcinoma (HCC). This study aimed to contract an immune-related lncRNA (IR-lncRNA) signature for prospective assessment to predict early recurrence of HCC. A total of 319 HCC samples under radical resection were randomly divided into a training cohort (161 samples) and a testing cohort (158 samples). In the training dataset, univariate, lasso, and multivariate Cox regression analyses identified a 9-IR-lncRNA signature closely related to disease-free survival. Kaplan-Meier analysis, principal component analysis, gene set enrichment analysis, and nomogram were used to evaluate the risk model. The results were further confirmed in the testing cohort. Furthermore, we constructed a competitive endogenous RNA regulatory network. The results of the present study indicated that this 9-IR-lncRNA signature has important clinical implications for improving predictive outcomes and guiding individualized treatment in HCC patients. These IR-lncRNAs and regulated genes may be potential biomarkers associated with the prognosis of HCC.
format article
author Xiang-Xu Wang
Li-Hong Wu
Liping Ai
Wei Pan
Jing-Yi Ren
Qiong Zhang
Hong-Mei Zhang
author_facet Xiang-Xu Wang
Li-Hong Wu
Liping Ai
Wei Pan
Jing-Yi Ren
Qiong Zhang
Hong-Mei Zhang
author_sort Xiang-Xu Wang
title Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms
title_short Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms
title_full Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms
title_fullStr Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms
title_full_unstemmed Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms
title_sort construction of an hcc recurrence model basedon the investigation of immune-relatedlncrnas and related mechanisms
publisher Elsevier
publishDate 2021
url https://doaj.org/article/33d778e44f4c4536b45e072f06514a99
work_keys_str_mv AT xiangxuwang constructionofanhccrecurrencemodelbasedontheinvestigationofimmunerelatedlncrnasandrelatedmechanisms
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