Suppr超能文献

鉴定与肿瘤免疫原性特征和预后相关的 mA 和 5mC 调控因子之间的串扰,涉及 33 种癌症类型。

Identification of cross-talk between mA and 5mC regulators associated with onco-immunogenic features and prognosis across 33 cancer types.

机构信息

State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of China.

Department of Medical Oncology, The Third Affiliated Hospital of Sun Yat-sen University, Sun Yat-Sen University, Guangzhou, 510632, People's Republic of China.

出版信息

J Hematol Oncol. 2020 Mar 18;13(1):22. doi: 10.1186/s13045-020-00854-w.

Abstract

Methylation of RNA and DNA, notably in the forms of N6-methyladenosine (mA) and 5-methylcytosine (5mC) respectively, plays crucial roles in diverse biological processes. Currently, there is a lack of knowledge regarding the cross-talk between mA and 5mC regulators. Thus, we systematically performed a pan-cancer genomic analysis by depicting the molecular correlations between mA and 5mC regulators across ~ 11,000 subjects representing 33 cancer types. For the first time, we identified cross-talk between mA and 5mC methylation at the multiomic level. Then, we further established mA/5mC epigenetic module eigengenes by combining hub mA/5mC regulators and informed a comprehensive epigenetic state. The model reflected status of the tumor-immune-stromal microenvironment and was able to predict patient survival in the majority of cancer types. Our results lay a solid foundation for epigenetic regulation in human cancer and pave a new road for related therapeutic targets.

摘要

RNA 和 DNA 的甲基化,特别是分别以 N6-甲基腺苷 (mA) 和 5-甲基胞嘧啶 (5mC) 的形式,在多种生物过程中发挥着关键作用。目前,人们对 mA 和 5mC 调控因子之间的相互作用知之甚少。因此,我们通过对代表 33 种癌症类型的约 11000 个样本进行泛癌症基因组分析,系统地描绘了 mA 和 5mC 调控因子之间的分子相关性。我们首次在多组学水平上鉴定了 mA 和 5mC 甲基化之间的相互作用。然后,我们通过结合枢纽 mA/5mC 调控因子,进一步建立了 mA/5mC 表观遗传模块特征基因,并提供了全面的表观遗传状态信息。该模型反映了肿瘤免疫基质微环境的状态,并能够预测大多数癌症类型的患者生存情况。我们的研究结果为人类癌症中的表观遗传调控奠定了坚实的基础,并为相关治疗靶点开辟了新的道路。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验