Suppr超能文献

N6-甲基腺苷RNA甲基化调节因子在卵巢癌免疫浸润中的意义

Significance of N6-Methyladenosine RNA Methylation Regulators in Immune Infiltrates of Ovarian Cancer.

作者信息

Gu Jing, Bi Fangfang

机构信息

Department of Obstetrics and Gynecology, ShengJing Hospital of China Medical University, Shenyang, China.

出版信息

Front Genet. 2021 Jul 7;12:671179. doi: 10.3389/fgene.2021.671179. eCollection 2021.

Abstract

N6-methyladenosine (m6A) RNA methylation regulators play an important role in the occurrence and development of tumors. Here, we aimed to identify the potential roles of m6A RNA methylation regulators in immune infiltrates of ovarian cancer. We obtained two distinct m6A patterns (m6Acluster.A and m6Acluster.B) based on the expression levels of all 21 m6A RNA methylation regulators from The Cancer Genome Atlas (TCGA) database using a consensus clustering algorithm. Differential analysis of m6Acluster.A and m6Acluster.B identified 196 m6A-related genes. We further validated the m6A regulation mechanism based on the 196 m6A-related genes using another consensus clustering algorithm. Considering individual differences, principal component analysis algorithms were used to calculate an m6A score for each sample in order to quantify the m6A patterns. A low m6A score was associated with immune activation and enhanced response to immune checkpoint inhibitors, whereas a high m6A score was associated with tumor progression. Finally, we successfully verified the correlation between m6A regulators and immune microenvironment in OC using our microarray analysis data. In summary, m6A regulators play non-negligible roles in immune infiltrates of ovarian cancer. Our investigation of m6A patterns may help to guide future immunotherapy strategies for advanced ovarian cancer.

摘要

N6-甲基腺苷(m6A)RNA甲基化调节因子在肿瘤的发生和发展中起着重要作用。在此,我们旨在确定m6A RNA甲基化调节因子在卵巢癌免疫浸润中的潜在作用。我们使用一致性聚类算法,基于来自癌症基因组图谱(TCGA)数据库的所有21种m6A RNA甲基化调节因子的表达水平,获得了两种不同的m6A模式(m6Acluster.A和m6Acluster.B)。对m6Acluster.A和m6Acluster.B进行差异分析,鉴定出196个与m6A相关的基因。我们使用另一种一致性聚类算法,基于这196个与m6A相关的基因进一步验证了m6A调控机制。考虑到个体差异,使用主成分分析算法为每个样本计算m6A评分,以量化m6A模式。低m6A评分与免疫激活和对免疫检查点抑制剂的反应增强相关,而高m6A评分与肿瘤进展相关。最后,我们利用微阵列分析数据成功验证了OC中m6A调节因子与免疫微环境之间的相关性。总之,m6A调节因子在卵巢癌免疫浸润中发挥着不可忽视的作用。我们对m6A模式的研究可能有助于指导晚期卵巢癌未来的免疫治疗策略。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验