Department of Nephrology, Ganzhou Hospital of Guangdong Provincial People's Hospital, Ganzhou Municipal Hospital, Ganzhou, China.
Department of Emergency, Zhanggongqu Hospital Of Traditional Chinese Medicine, Ganzhou, China.
Eur J Med Res. 2023 Sep 7;28(1):321. doi: 10.1186/s40001-023-01292-3.
Adenosine N1 methylation (m1A) of RNA, a type of post-transcriptional modification, has been shown to play a significant role in the progression of cancer. The objective of the current research was to analyze the genetic alteration and prognostic significance of m1A regulators in kidney renal clear cell carcinoma (KIRC). Genomic and clinicopathological characteristics were obtained from 558 KIRC patients in the Cancer Genome Atlas (TCGA) and Gene Omnibus Expression (GEO) databases. Alterations in the gene expression of ten m1A-regulators were analyzed and survival analysis was performed using the Cox regression method. We also identified three clusters of patients based on their distinct m1A alteration patterns, using integrated analysis of the ten m1A-related regulators, which were significantly related to overall survival (OS), disease-free survival (DFS) and tumor microenvironment (TME) immune cell infiltration cells in KIRC. Our findings showed that m1A alteration patterns have critical roles in determining TME complexity and its immune cell composition. Furthermore, different m1A expression patterns were significantly associated with DFS and OS rates in KIRC patients. In conclusion, the identified m1A RNA modification patterns offer a potentially effective way to classify KIRC patients based on their TME immune cell infiltration, enabling the development of more personalized and successful treatment strategies for these patients.
RNA 的腺嘌呤 N1 甲基化(m1A)是一种转录后修饰,已被证明在癌症的进展中起着重要作用。本研究的目的是分析肾脏透明细胞癌(KIRC)中 m1A 调节因子的遗传改变和预后意义。从癌症基因组图谱(TCGA)和基因表达综合数据库(GEO)中获得了 558 名 KIRC 患者的基因组和临床病理特征。分析了十个 m1A 调节剂的基因表达改变,并使用 Cox 回归方法进行了生存分析。我们还根据十个 m1A 相关调节剂的综合分析,基于他们不同的 m1A 改变模式,鉴定了三组患者,这些模式与 KIRC 中的总生存(OS)、无病生存(DFS)和肿瘤微环境(TME)免疫细胞浸润细胞显著相关。我们的研究结果表明,m1A 改变模式在决定 TME 复杂性及其免疫细胞组成方面起着关键作用。此外,不同的 m1A 表达模式与 KIRC 患者的 DFS 和 OS 率显著相关。总之,所鉴定的 m1A RNA 修饰模式为根据 TME 免疫细胞浸润对 KIRC 患者进行分类提供了一种潜在有效的方法,从而为这些患者制定更个性化和成功的治疗策略。