Unravelling driver genes as potential therapeutic targets in ovarian cancer via integrated bioinformatics approach.

ABSTRACT: Target-driven cancer therapy is a notable advancement in precision oncology that has been accompanied by substantial medical accomplishments. Ovarian cancer is a highly frequent neoplasm in women and exhibits significant genomic and clinical heterogeneity. In a previous publication, we presented an extensive bioinformatics study aimed at identifying specific biomarkers associated with ovarian cancer. The findings of the network analysis indicate the presence of a cluster of nine dysregulated hub genes that exhibited significance in the underlying biological processes and contributed to the initiation of ovarian cancer. Here in this research article, we are proceeding our previous research by taking all hub genes into consideration for further analysis. GEPIA2 was used to identify patterns

SUBMITTER: Beg A 

PROVIDER: S-EPMC11036584 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature