ArticleFrontiers in genetics2022
Comprehensive analysis of m5C-Related lncRNAs in the prognosis and immune landscape of hepatocellular carcinoma.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 8 citations in OpenAlex.
- The 5-Methylcytosine RNA Modification in Hepatitis B Virus-Negative Hepatocellular Carcinoma: Insights From Long-Read Nanopore Sequencing.Molecular carcinogenesis · 2026Article
- Ferroptosis-related LncRNAs in diseases.BMC biology · 2025Review
- Narrative review of research progress of RNA mTranslational cancer research · 2024Review
- Sequence Alignment betweenJournal of personalized medicine · 2024Article
- Emerging role of RNA modification and long noncoding RNA interaction in cancer.Cancer gene therapy · 2024Review
- RNA 5-methylcytosine writer NSUN5 promotes hepatocellular carcinoma cell proliferation via a ZBED3-dependent mechanism.Oncogene · 2024Article
- Tumor Mutational Burden for Predicting Prognosis and Therapy Outcome of Hepatocellular Carcinoma.International journal of molecular sciences · 2023Review
- Vital roles of mFrontiers in immunology · 2023Review
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Authors and funding
5 authors at 1 institution in 1 country.
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Abstract
5-Methyladenosine (m5C) is a type of epigenetic modification involved in the progression of various cancers. To investigate the role of m5C-related long non-coding RNAs (lncRNAs) in the prognosis and immune cell infiltration in hepatocellular carcinoma (HCC), we obtained patients' clinical information and transcriptome data of HCC from the Cancer Genome Atlas (TCGA) database. We applied Pearson correlation analysis to construct an m5C-related lncRNA-messenger RNA (mRNA) co-expression network. Univariate Cox analysis, least absolute shrinkage and selection operator (LASSO), and multivariate Cox analysis were employed to establish an m5C-related lncRNA prognostic risk model. We then verified the model using Kaplan-Meier analysis, principal component analysis, as well as univariate and multivariate Cox analyses. The expression of m5C-related lncRNAs was validated in HCC tissues and different cell lines. Combining the risk score and clinicopathological features, a nomogram was established for predicting the overall survival (OS) of HCC patients. Furthermore, gene set enrichment analysis (GSEA) revealed that some tumor-associated pathways were significantly enriched in the high-risk group. Immune cell infiltration analysis demonstrated that the levels of Treg cells, neutrophils, and M2 macrophages were higher in the high-risk group. In addition, patients with high tumor mutation burden (TMB) had worse OS than those with low TMB. We also assessed the immune checkpoint level and chemotherapeutic agent sensibility. Then
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