Identification of key gene signatures for the overall survival of ovarian cancer.

ABSTRACT:

Background

The five-year overall survival (OS) of advanced-stage ovarian cancer remains nearly 25-35%, although several treatment strategies have evolved to get better outcomes. A considerable amount of heterogeneity and complexity has been seen in ovarian cancer. This study aimed to establish gene signatures that can be used in better prognosis through risk prediction outcome for the survival of ovarian cancer patients. Different studies' heterogeneity into a single platform is presented to explore the penetrating genes for poor or better survival. The integrative analysis of multiple data sets was done to determine the genes that influence poor or better survival. A total of 6 independent data sets was considered. The Cox Proportional Hazard model was used to obtain significant g

SUBMITTER: Pawar A 

PROVIDER: S-EPMC8780391 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature