Zhang Tao, Gu Jian, Wang Xinyi, Luo Jiajia, Yan Jing, Cai Kailin, Li Huili, Nie Yingli, Chen Xiangdong, Wang Jiliang
Department of Anesthesiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430022, China.
Department of Gastrointestinal Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan 430022, China.
Am J Cancer Res. 2022 Jul 15;12(7):2989-3013. eCollection 2022.
RNA methylation has been known to promote the initiation and progression of many types of cancer, including hepatocellular carcinoma (HCC). To fully understand the importance of this post-transcriptional modification in HCC, a thorough investigation that combines different patterns of RNA methylation is urgently needed. In this study, we investigated the regulators of the three most common types of RNA methylation: m6A, N1-methyladenosine (m1A) and 5-methylcytosine (m5C). Based on the genomic and proteomic data, we constructed a classifier consisting of seven RNA methylation regulators. This classifier performed well and robustly predicted the prognosis of HCC patients. By analysis using this classifier, we found that the primary bile acid biosynthesis pathway was mostly downregulated in high-risk HCC patients. Furthermore, we found that the gene expression patterns regulated by several bile acids were similar to those regulated by some well-defined anti-tumor compounds, indicating that bile acid metabolism plays a crucial role in the progression of HCC, and the related metabolites can be used as the potential agents for HCC treatments. Moreover, our study revealed a crosstalk between RNA methylation and bile acid regulators, demonstrating a novel mechanism of the downregulation of bile acid metabolism in HCC and providing new insights into how RNA methylation regulators affect the oncogenesis of HCC.
已知RNA甲基化会促进包括肝细胞癌(HCC)在内的多种癌症的发生和发展。为了全面了解这种转录后修饰在HCC中的重要性,迫切需要进行一项结合不同RNA甲基化模式的深入研究。在本研究中,我们调查了三种最常见的RNA甲基化类型的调节因子:N6-甲基腺苷(m6A)、N1-甲基腺苷(m1A)和5-甲基胞嘧啶(m5C)。基于基因组和蛋白质组数据,我们构建了一个由七个RNA甲基化调节因子组成的分类器。该分类器表现良好,能够稳健地预测HCC患者的预后。通过使用该分类器进行分析,我们发现初级胆汁酸生物合成途径在高危HCC患者中大多下调。此外,我们发现几种胆汁酸调节的基因表达模式与一些明确的抗肿瘤化合物调节的模式相似,这表明胆汁酸代谢在HCC进展中起关键作用,并且相关代谢物可作为HCC治疗的潜在药物。此外,我们的研究揭示了RNA甲基化与胆汁酸调节因子之间的相互作用,展示了HCC中胆汁酸代谢下调的新机制,并为RNA甲基化调节因子如何影响HCC的肿瘤发生提供了新的见解。