Back to Search
Start Over
Comprehensive analysis of N 6 -methyladenosine-related long non-coding RNAs for prognosis prediction in liver hepatocellular carcinoma.
- Source :
-
Journal of clinical laboratory analysis [J Clin Lab Anal] 2021 Dec; Vol. 35 (12), pp. e24071. Date of Electronic Publication: 2021 Nov 05. - Publication Year :
- 2021
-
Abstract
- Background: Liver hepatocellular carcinoma (LIHC) is a lethal cancer. This study aimed to identify the N <superscript>6</superscript> -methyladenosine (m <superscript>6</superscript> A)-targeted long non-coding RNA (lncRNA) related to LIHC prognosis and to develop an m <superscript>6</superscript> A-targeted lncRNA model for prognosis prediction in LIHC.<br />Methods: The expression matrix of mRNA and lncRNA was obtained, and differentially expressed (DE) mRNAs and lncRNAs between tumor and normal samples were identified. Univariate Cox and pathway enrichment analyses were performed on the m <superscript>6</superscript> A-targeted lncRNAs and the LIHC prognosis-related m <superscript>6</superscript> A-targeted lncRNAs. Prognostic analysis, immune infiltration, and gene DE analyses were performed on LIHC subgroups, which were obtained from unsupervised clustering analysis. Additionally, a multi-factor Cox analysis was used to construct a prognostic risk model based on the lncRNAs from the LASSO Cox model. Univariate and multivariate Cox analyses were used to assess prognostic independence.<br />Results: A total of 5031 significant DEmRNAs and 292 significant DElncRNAs were screened, and 72 LIHC-specific m <superscript>6</superscript> A-targeted binding lncRNAs were screened. Moreover, a total of 29 LIHC prognosis-related m <superscript>6</superscript> A-targeted lncRNAs were obtained and enriched in cytoskeletal, spliceosome, and cell cycle pathways. An 11-m <superscript>6</superscript> A-lncRNA prognostic model was constructed and verified; the top 10 lncRNAs included LINC00152, RP6-65G23.3, RP11-620J15.3, RP11-290F5.1, RP11-147L13.13, RP11-923I11.6, AC092171.4, KB-1460A1.5, LINC00339, and RP11-119D9.1. Additionally, the two LIHC subgroups, Cluster 1 and Cluster 2, showed significant differences in the immune microenvironment, m <superscript>6</superscript> A enzyme genes, and prognosis of LIHC.<br />Conclusion: The m <superscript>6</superscript> A-lncRNA prognostic model accurately and effectively predicted the prognostic survival of LIHC. Immune cells, immune checkpoints (ICs), and m <superscript>6</superscript> A enzyme genes could act as novel therapeutic targets for LIHC.<br /> (© 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.)
- Subjects :
- Adenosine genetics
Aged
Biomarkers, Tumor genetics
Carcinoma, Hepatocellular immunology
Female
Gene Expression Regulation, Neoplastic
Humans
Kaplan-Meier Estimate
Liver Neoplasms immunology
Male
Middle Aged
Prognosis
Proportional Hazards Models
RNA, Long Noncoding metabolism
Tumor Microenvironment genetics
Tumor Microenvironment immunology
Adenosine analogs & derivatives
Carcinoma, Hepatocellular genetics
Carcinoma, Hepatocellular mortality
Liver Neoplasms genetics
Liver Neoplasms mortality
RNA, Long Noncoding genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1098-2825
- Volume :
- 35
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Journal of clinical laboratory analysis
- Publication Type :
- Academic Journal
- Accession number :
- 34741346
- Full Text :
- https://doi.org/10.1002/jcla.24071