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...
Guardado en:
Autores principales: | , , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/33d778e44f4c4536b45e072f06514a99 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:33d778e44f4c4536b45e072f06514a99 |
---|---|
record_format |
dspace |
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 AT lihongwu constructionofanhccrecurrencemodelbasedontheinvestigationofimmunerelatedlncrnasandrelatedmechanisms AT lipingai constructionofanhccrecurrencemodelbasedontheinvestigationofimmunerelatedlncrnasandrelatedmechanisms AT weipan constructionofanhccrecurrencemodelbasedontheinvestigationofimmunerelatedlncrnasandrelatedmechanisms AT jingyiren constructionofanhccrecurrencemodelbasedontheinvestigationofimmunerelatedlncrnasandrelatedmechanisms AT qiongzhang constructionofanhccrecurrencemodelbasedontheinvestigationofimmunerelatedlncrnasandrelatedmechanisms AT hongmeizhang constructionofanhccrecurrencemodelbasedontheinvestigationofimmunerelatedlncrnasandrelatedmechanisms |
_version_ |
1718409892757241856 |