Comprehensive analysis of N6-methyladenosine -related long non-coding RNAs and immune cell infiltration in hepatocellular carcinoma
| Autor: | Zheng Ming Zhu, Zhong Lin Yu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Adenosine Carcinoma Hepatocellular Notch signaling pathway lncRNAs Bioengineering Biology Applied Microbiology and Biotechnology 03 medical and health sciences 0302 clinical medicine Immune system Lymphocytes Tumor-Infiltrating Bioinformatics analysis Gene expression medicine Tumor Microenvironment Cytotoxic T cell Humans KEGG n6-methyladenosine Gene Tumor microenvironment Liver Neoplasms immune cell infiltration Reproducibility of Results General Medicine hepatocellular carcinoma medicine.disease Prognosis Survival Analysis Gene Expression Regulation Neoplastic 030104 developmental biology 030220 oncology & carcinogenesis Hepatocellular carcinoma Multivariate Analysis Cancer research RNA Long Noncoding TP248.13-248.65 Biotechnology Research Article Research Paper |
| Zdroj: | Bioengineered article-version (VoR) Version of Record Bioengineered, Vol 12, Iss 1, Pp 1708-1724 (2021) |
| ISSN: | 2165-5987 |
| Popis: | We aimed to illustrate the influence of N6-methyladenosine (m6A) long non-coding RNAs (lncRNAs) and immune cell infiltration in hepatocellular carcinoma (HCC). The relationship of lncRNAs and m6A was identified through gene expression analysis using PERL and R packages. The Kyoto Encyclopedia of Genes and Genomes gene expression enrichment analysis was performed via gene set enrichment analysis. Lasso regression was utilized to construct prognostic model. Differences in the tumor microenvironment and the immune correlation were analyzed to clarify immune cell infiltration in different clusters and their correlation with the clinical prognosis. Co-expression analysis showed that lncRNA expression was associated closely with m6A. Many lncRNAs were predictive risk factors of prognosis in HCC. m6A-lncRNAs were partially highly expressed in tumor tissue and could be used in a prognostic model to predict HCC prognosis, independent of other clinical characteristics. ‘NOTCH SIGNALING PATHWAY’ was most significantly enriched according to GSEA. CKLF-like MARVEL transmembrane domain-containing member 3 (CMTM3) was overexpressed in tumor tissue. Immune cells, such as activated CD4 memory T cells, CD8 T cells, and follicular helper T cells, highly infiltrated tissues in cluster 2. All related scores were higher in cluster 2, indicating a lower purity of tumor cells and higher density of immune-related cells in the tumor microenvironment. m6A-lncRNAs are closely related to HCC occurrence and progression. Corresponding prognostic models can help predict HCC prognosis. m6A-lncRNAs and the related immune cell infiltration in the tumor microenvironment can provide novel therapeutic targets in HCC that need to be further studied. Graphical Abstract |
| Databáze: | OpenAIRE |
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