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Non-small cell lung cancer (NSCLC) is a major subtype of lung cancer. Besides genetic and environmental factors, epigenetic alterations contribute to the tumorigenesis of NSCLC. Epigenetic changes are considered key drivers of cancer initiation and progression, and altered expression and activity of epigenetic modifiers reshape the epigenetic landscape in cancer cells. Euchromatic histone-lysine N-methyltransferase 2 (EHMT2) is a histone methyltransferase and catalyzes mono- and di-methylation at histone H3 lysine 9 (H3K9me1 and H3K9me2, respectively), leading to gene silencing. EHMT2 overexpression has been reported in various types of cancer, including ovarian cancer and neuroblastoma, in relation to cell proliferation and metastasis. However, its role in NSCLC is not fully understood. In this study, we showed that EHMT2 gene expression was higher in NSCLC than normal lung tissue based on publicly available data. Inhibition of EHMT2 by BIX01294 (BIX) reduced cell viability of NSCLC cell lines via induction of autophagy. Through RNA sequencing analysis, we found that EHMT2 inhibition significantly affected the cholesterol biosynthesis pathway. BIX treatment directly induced the expression of SREBF2, which is a master regulator of cholesterol biosynthesis, by lowering H3K9me1 and H3K9me2 at the promoter. Treatment of a cholesterol biosynthesis inhibitor, 25-hydroxycholesterol (25-HC), partially recovered BIX-induced cell death by attenuating autophagy. Our data demonstrated that EHMT2 inhibition effectively induced cell death in NSCLC cells through altering cholesterol metabolism-dependent autophagy.
N6-methyladenosine (m6A) modification on RNA plays an important role in tumorigenesis and metastasis, which could change gene expression and even function at multiple levels such as RNA splicing, stability, translocation, and translation. In this study, we aim to conduct a comprehensive analysis on m6A RNA methylation-related genes, including m6A RNA methylation regulators and m6A RNA methylation-modified genes, in liver hepatocellular carcinoma, and their relationship with survival and clinical features. Data, which consist of the expression of widely reported m6A RNA methylation-related genes in liver hepatocellular carcinoma from The Cancer Genome Atlas (TCGA), were analyzed by one-way ANOVA, Univariate Cox regression, a protein-protein interaction network, gene enrichment analysis, feature screening, a risk prognostic model, correlation analysis, and consensus clustering analysis. In total, 405 of the m6A RNA methylation-related genes were found based on one-way ANOVA. Among them, DNA topoisomerase 2-alpha (TOP2A), exodeoxyribonuclease 1 (EXO1), ser-ine/threonine-protein kinase Nek2 (NEK2), baculoviral IAP repeat-containing protein 5 (BIRC5), hyaluronan mediated motility receptor (HMMR), structural maintenance of chromosomes protein 4 (SMC4), bloom syndrome protein (BLM), ca-sein kinase I isoform epsilon (CSNK1E), cytoskeleton-associated protein 5 (CKAP5), and inner centromere protein (INCENP), which were m6A RNA methylation-modified genes, were recognized as the hub genes based on the protein-protein interaction analysis. The risk prognostic model showed that gender, AJCC stage, grade, T, and N were significantly different between the subgroup with the high and low risk groups. The AUC, the evaluation parameter of the prediction model which was built by RandomForest, was 0.7. Furthermore, two subgroups were divided by consensus clustering analysis, in which stage, grade, and T differed. We identified the important genes expressed significantly among two clusters, including uridine-cytidine kinase 2 (UCK2), filensin (BFSP1), tubulin-specific chaperone D (TBCD), histone-lysine N-methyltransferase PRDM16 (PRDM16), phosphorylase b ki-nase regulatory subunit alpha (PHKA2), serine/threonine-protein kinase BRSK2 (BRSK2), Arf-GAP with coiled-coil (ACAP3), general transcription factor 3C polypep-tide 2 (GTF3C2), and guanine nucleotide exchange factor MSS4 (RABIF). In our study, the m6A RNA methylation-related genes in liver hepatocellular carcinoma were analyzed systematically, including the expression, interaction, function, and prognostic values, which provided an important theoretical basis for m6A RNA methylation in liver cancer. The nine important m6A-related genes could be prognostic markers in the survival time of patients.
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