Ontology highlight
ABSTRACT: Introduction
Ovarian cancer (OV) is a common malignancy affecting women globally; recognizing useful biomarkers has been one of the key priorities. Since SCNN1A was reported to be relevant to tumor progression in a variety of cancers, but rarely in ovarian cancer, we explored the roles of SCNN1A in OV.Methods
RNA sequencing data from TCGA and GEO were utilized to analyze the expression of SCNN1A and related differentially expressed genes (DEGs) in ovarian cancer. We performed GO, GSEA and immune cell infiltration analysis on SCNN1A-associated DEGs. Correlation of SCNN1A methylation levels and its mRNA expression was analyzed by cBioPortal and UCSC Xena databases. To assess the prognostic impact of SCNN1A, Kaplan-Meier plot analysis
SUBMITTER: Lou J
PROVIDER: S-EPMC8865762 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature