Guo Zhuangyu, Wang Xue, Huang Shuaishuai, Weng Guobin
Urology Department, Ningbo Yinzhou No. 2 Hospital. Ningbo, Zhejiang Province, China.
Iran J Public Health. 2024 Nov;53(11):2538-2550. doi: 10.18502/ijph.v53i11.16957.
M6A RNA methylation and the tumor microenvironment (TME) have been reported to play important roles in the progression and prognosis of clear cell renal cell carcinoma (ccRCC). However, whether m6A RNA methylation regulators affect the TME in ccRCC remains unknown. Thus, we aimed to evaluate comprehensively the effect of m6A RNA methylation regulators on the TME in ccRCC.
Transcriptome data of ccRCC were obtained from TCGA database. Consensus clustering analysis was conducted based on the expression of m6A RNA methylation regulators. Survival differences were evaluated by Kaplan-Meier analysis between the clusters. The DESeq2 package was used to analyze the differentially expressed genes (DEGs) between the clusters. GO and KEGG pathway analyses were performed by the ClusterProfiler R package. The CIBERSORT algorithm was used to evaluate immune infiltration.
The expression of 15 m6A regulators significantly differed between ccRCC and normal kidney tissues. Based on the expression of these 15 m6A regulators, two clusters were identified by consensus clustering, in which cluster 1 had better overall survival (OS). Overall, 4,429 DEGs were identified between the two clusters and were enriched in immune-related biological processes. Cluster 1 had lower immune and ESTIMATE scores, higher expression of HLA and lower expression of immune checkpoint molecules. Moreover, immune infiltration and expressions of Th1/IFNγ gene signature were also significantly different between the two clusters.
Our study revealed m6A regulators were important participants in the development of ccRCC, with a close relationship with the TME.
据报道,m6A RNA甲基化与肿瘤微环境(TME)在透明细胞肾细胞癌(ccRCC)的进展和预后中发挥重要作用。然而,m6A RNA甲基化调节因子是否影响ccRCC中的TME仍不清楚。因此,我们旨在全面评估m6A RNA甲基化调节因子对ccRCC中TME的影响。
从TCGA数据库获得ccRCC的转录组数据。基于m6A RNA甲基化调节因子的表达进行共识聚类分析。通过Kaplan-Meier分析评估各聚类之间的生存差异。使用DESeq2软件包分析各聚类之间的差异表达基因(DEG)。通过ClusterProfiler R软件包进行GO和KEGG通路分析。使用CIBERSORT算法评估免疫浸润。
15种m6A调节因子在ccRCC和正常肾组织中的表达存在显著差异。基于这15种m6A调节因子的表达,通过共识聚类鉴定出两个聚类,其中聚类1的总生存期(OS)较好。总体而言,在两个聚类之间鉴定出4429个DEG,这些基因富集于免疫相关的生物学过程。聚类1的免疫和ESTIMATE评分较低,HLA表达较高,免疫检查点分子表达较低。此外,两个聚类之间的免疫浸润以及Th1/IFNγ基因特征的表达也存在显著差异。
我们的研究表明,m6A调节因子是ccRCC发展的重要参与者,与TME密切相关。