Integrated Bioinformatic Analysis of DNA Methylation and Immune Infiltration in Endometrial Cancer

Background: Endometrial cancer greatly threatens the health of female. Emerging evidences demonstrated that the DNA methylation and immune infiltration involve in the occurrence and development of endometrial cancer. However, the mechanism and prognosis biomarker of endometrial cancer is unclear. In this study, we attempt to assess the DNA methylation and immune infiltration via bioinformatic analysis. Methods: : The latest RNA-Seq, DNA methylation data and clinical data of endometrial cancer were download from the UCSC Xena dataset. The methylated driven genes were selected out, and then the risk score was obtained using the “ MethylMix ” and “ corrplot ” package. The correction of methylated genes and prognosis values, and the expression of above driven genes were identified by via survminer package and beeswarm package, respectively. Finally, the role of VTCN1 gene in immune infiltration was analyzed via CIBERSORT package. Results: : In this study, 179 up-regulated genes, and 311 down-regulated genes are identified, which are related to the extracellular matrix organization, cell-cell junction, and cell adhesion molecular binding. Above them, 13 methylated driven genes were selected out. Meanwhile, it’s obvious that the expression of PGR and VTCN1 are lower in tumor group than that of in normal group. Conversely, VTCN1 gene expresses the opposite. high methylation & low expression of PGR and GYPC are positive correction with the prognosis, while the VTCN1 has the inverse relationship with the prognosis of endometrial cancer. More importantly, the hypomethylation of VTCN1 promoter leads to its high expression, which can cause tumor development by inhibiting CD8 + T cell infiltration. Conclusions: : In total, our study firstly reveals the mechanism of endometrial cancer combining DNA methylation and immune cell infiltration via integrated bioinformatic analysis. Besides, we found the pivotal prognosis biomarker for this disease. Our study may provide the potential targets for the diagnosis and prognosis of endometrial cancer.