Cao Yan-Ni, Li Qian-Zhong, Liu Yu-Xian
Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot, China.
The State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, Inner Mongolia University, Hohhot, China.
Front Cell Dev Biol. 2022 Feb 1;10:815843. doi: 10.3389/fcell.2022.815843. eCollection 2022.
Breast cancer is the most common cancer in the world, and DNA methylation plays a key role in the occurrence and development of breast cancer. However, the effect of DNA methylation in different gene functional regions on gene expression and the effect of gene expression on breast cancer is not completely clear. In our study, we computed and analyzed DNA methylation, gene expression, and clinical data in the TCGA database. Firstly, we calculated the distribution of abnormal DNA methylated probes in 12 regions, found the abnormal DNA methylated probes in down-regulated genes were highly enriched, and the number of hypermethylated probes in the promoter region was 6.5 times than that of hypomethylated probes. Secondly, the correlation coefficients between abnormal DNA methylated values in each functional region of differentially expressed genes and gene expression values were calculated. Then, co-expression analysis of differentially expressed genes was performed, 34 hub genes in cancer-related pathways were obtained, of which 11 genes were regulated by abnormal DNA methylation. Finally, a multivariate Cox regression analysis was performed on 27 probes of 11 genes. Three DNA methylation probes (cg13569051 and cg14399183 of , and cg25274503 of ) related to survival were used to construct a prognostic model, which has a good prognostic ability. Furthermore, we found that the cg25274503 hypermethylation in the promoter region inhibited the expression of the , and the hypermethylation of cg13569051 and cg14399183 in the 5'UTR region inhibited the expression of . These results may provide possible molecular targets for breast cancer.
乳腺癌是世界上最常见的癌症,DNA甲基化在乳腺癌的发生和发展中起关键作用。然而,不同基因功能区域的DNA甲基化对基因表达的影响以及基因表达对乳腺癌的影响尚不完全清楚。在我们的研究中,我们计算并分析了TCGA数据库中的DNA甲基化、基因表达和临床数据。首先,我们计算了12个区域中异常DNA甲基化探针的分布,发现下调基因中的异常DNA甲基化探针高度富集,启动子区域的高甲基化探针数量是低甲基化探针的6.5倍。其次,计算了差异表达基因各功能区域异常DNA甲基化值与基因表达值之间的相关系数。然后,对差异表达基因进行共表达分析,获得了癌症相关通路中的34个枢纽基因,其中11个基因受异常DNA甲基化调控。最后,对11个基因的27个探针进行多变量Cox回归分析。使用与生存相关的三个DNA甲基化探针(的cg13569051和cg14399183,以及的cg25274503)构建了一个预后模型,该模型具有良好的预后能力。此外,我们发现启动子区域的cg25274503高甲基化抑制了的表达,5'UTR区域的cg13569051和cg14399183高甲基化抑制了的表达。这些结果可能为乳腺癌提供潜在的分子靶点。