Cancer Biomark. 2022;33(3):389-400. doi: 10.3233/CBM-210154.
Hepatocellular carcinoma (HCC) is a cancer with relatively high mortality, yet little attention has been devoted for related prognostic biomarkers. This study analyzed differential expression of m5C RNA methyltransferase-related genes in normal samples and tumors samples in TCGA-LIHC using Wilcoxon test. K-means consensus clustering analysis was implemented to subdivide samples. Independent prognostic factors were screened by univariate and multivariate Cox regression analyses. KEGG pathway enrichment analysis was performed on the screened independent prognostic factor using GSEA tools. qPCR was conducted to test mRNA expression of key m5C RNA methyltransferase-related genes in tissues and cells. There were 7 m5C RNA methyltransferase-related genes (NOP2, NSUN4, etc.) differentially expressed in HCC tumor tissues. HCC samples were classified into 3 subgroups through clustering analysis according to the expression mode of m5C RNA methyltransferase-related genes. It was also discovered that patients in different subgroups presented significant differences in survival rate and distribution of grade. Additionally, NOP2, NSUN4 and NSUN5 expression notable varied in different grades. Through regression analyses combined with various clinical pathological factors, it was displayed that NSUN4 could work as an independent prognostic factor. KEGG analysis showed that NSUN4 mainly enriched in signaling pathways involved in ADHERENS JUNCTION, RNA DEGRADATION, MTOR SIGNALING PATHWAY, COMPLEMENT and COAGULATION CASCADES. As examined by qPCR, NSUN4 was conspicuously upregulated in HCC patient's tissues and cells. Altogether, our study preliminarily developed a novel biomarker that could be independently used in prognosis of HCC, which may provide a new direction for the study of related molecular mechanism or treatment regimen.
肝细胞癌 (HCC) 是一种死亡率相对较高的癌症,但针对相关预后生物标志物的研究却很少。本研究通过 Wilcoxon 检验分析了 TCGA-LIHC 中正常样本和肿瘤样本中 m5C RNA 甲基转移酶相关基因的差异表达。采用 K-means 共识聚类分析对样本进行细分。通过单因素和多因素 Cox 回归分析筛选独立预后因素。使用 GSEA 工具对筛选出的独立预后因素进行 KEGG 通路富集分析。qPCR 检测组织和细胞中关键 m5C RNA 甲基转移酶相关基因的 mRNA 表达。HCC 肿瘤组织中有 7 个 m5C RNA 甲基转移酶相关基因 (NOP2、NSUN4 等) 表达差异。通过聚类分析,根据 m5C RNA 甲基转移酶相关基因的表达模式将 HCC 样本分为 3 个亚组。还发现,不同亚组的患者在生存率和分级分布方面存在显著差异。此外,NOP2、NSUN4 和 NSUN5 的表达在不同分级中明显不同。通过回归分析结合各种临床病理因素,发现 NSUN4 可以作为独立的预后因素。KEGG 分析显示,NSUN4 主要富集在 ADHERENS JUNCTION、RNA DEGRADATION、MTOR SIGNALING PATHWAY、COMPLEMENT 和 COAGULATION CASCADES 等信号通路中。qPCR 检测结果显示,NSUN4 在 HCC 患者的组织和细胞中明显上调。综上所述,本研究初步开发了一种可独立用于 HCC 预后的新型生物标志物,为相关分子机制或治疗方案的研究提供了新的方向。