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The Cancer Genome Atlas (TCGA) based m <sup>6</sup> A methylation-related genes predict prognosis in hepatocellular carcinoma

Jun Liu, Guili Sun, Shang‐Ling Pan, Mengbin Qin, Rong Ouyang, Zhongzhuan Li, Jiean Huang

2020Bioengineered130 citationsDOIOpen Access PDF

Abstract

The current study aims to investigate the significance of N6-methyladenosine (m6A) methylation-related genes in the clinical prognosis of hepatocellular carcinoma (HCC) using bioinformatics analyses based on The Cancer Genome Atlas (TCGA) database. Transcriptome data and corresponding clinical data on m6A methylation-related genes (including 15 genes) were obtained from TCGA database. Differential expression of 15 genes was identified. Survival curves of subgroups based on m6A methylation-related gene expression levels were plotted. We selected potential predictive genes and analyzed their prognostic values using bioinformatics methods. Eleven genes (METTL3, YTHDF1, YTHDF2, YTHDF3, YTHDC1, YTHDC2, FTO, KIAA1429, HNRNPC, HNRNPA2B1, and RBM15) were found to be overexpressed in HCC. Of these, five genes had worse survival (P < 0.05). There was a significant difference in the survival rate between subgroups with different expression levels of m6A. We selected five potential predictors (METTL3, KIAA1429, ZC3H13, YTHDF1, and YTHDF2) that met the independent predictive value. ZC3H13 was upregulated in patients with high cancer risk, whereas METTL3, KIAA1429, YTHDF1, and YTHDF2 were downregulated. In summary, we found that the expression levels of m6A methylation-related genes were different in patients with HCC and correlated with survival and prognosis. This implies that m6A methylation-related genes may be promising prognostic indicators or therapeutic targets for HCC.

Topics & Concepts

MethylationHepatocellular carcinomaGeneBiologyDNA methylationCancer researchTranscriptomeHuman Protein AtlasOncologySurvival analysisGene expressionInternal medicineBioinformaticsMedicineGeneticsProtein expressionRNA modifications and cancerCancer-related gene regulationCancer-related molecular mechanisms research
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