Bibliographic Details
Title: |
Construction of an HCC recurrence model basedon the investigation of immune-relatedlncRNAs and related mechanisms |
Authors: |
Xiang-Xu Wang, Li-Hong Wu, Liping Ai, Wei Pan, Jing-Yi Ren, Qiong Zhang, Hong-Mei Zhang |
Source: |
Molecular Therapy: Nucleic Acids, Vol 26, Iss , Pp 1387-1400 (2021) |
Publisher Information: |
Elsevier, 2021. |
Publication Year: |
2021 |
Collection: |
LCC:Therapeutics. Pharmacology |
Subject Terms: |
hepatocellular carcinoma, recurrence, lncRNA, immune microenvironment, ceRNA, Therapeutics. Pharmacology, RM1-950 |
More Details: |
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. |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
2162-2531 |
Relation: |
http://www.sciencedirect.com/science/article/pii/S216225312100281X; https://doaj.org/toc/2162-2531 |
DOI: |
10.1016/j.omtn.2021.11.006 |
Access URL: |
https://doaj.org/article/33d778e44f4c4536b45e072f06514a99 |
Accession Number: |
edsdoj.33d778e44f4c4536b45e072f06514a99 |
Database: |
Directory of Open Access Journals |