Comprehensive Analysis of m5C Methylation Regulatory Genes and Tumor Microenvironment in Prostate Cancer

作者：Guopeng Yu, Jia-hao Bao, Ming Zhan, Jiangyi Wang, Xinjuan Li, Xin Gu, Shangqing Song, Qing Yang, Yushan Liu, Zhong Wang, Bin Xu · 发表于：Frontiers in Immunology · 年份：2022 · DOI：10.3389/fimmu.2022.914577 · 被引用次数：66 · 研究领域：RNA modifications and cancer、Epigenetics and DNA Methylation、Cancer-related gene regulation

Background 5-Methylcytidine (m5C) methylation is an emerging epigenetic modification in recent years, which is associated with the development and progression of various cancers. However, the prognostic value of m5C regulatory genes and the correlation between m5C methylation and the tumor microenvironment (TME) in prostate cancer remain unknown. Methods In the current study, the genetic and transcriptional alterations and prognostic value of m5C regulatory genes were investigated in The Cancer Genome Atlas and Gene Expression Omnibus datasets. Then, an m5C prognostic model was established by LASSO Cox regression analysis. Gene set variation analyses (GSVA), gene set enrichment analysis (GSEA), clinical relevance, and TME analyses were conducted to explain the biological functions and quantify the TME scores between high-risk and low-risk subgroups. m5C regulatory gene clusters and m5C immune subtypes were identified using consensus unsupervised clustering analysis. The Cell-type Identification By Estimating Relative Subsets of RNA Transcripts algorithm was used to calculate the contents of immune cells. Results TET3 was upregulated at transcriptional levels in PCa compared with normal tissues, and a high TET3 expression was associated with poor prognosis. An m5C prognostic model consisting of 3 genes ( NSUN2 , TET3 , and YBX1 ) was developed and a nomogram was constructed for improving the clinical applicability of the model. Functional analysis revealed the enrichment of pa...