Discovery and ranking of the most robust prognostic biomarkers in serous ovarian cancer.

ABSTRACT: Progress in ovarian cancer treatment lags behind other tumor types. With diagnosis usually at an advanced stage, there is a high demand for reliable prognostic biomarkers capable of the selection of effective chemo- and targeted therapies. Our goal was to establish a large-scale transcriptomic database and use it to uncover and rank survival-associated genes. Ovarian cancer cohorts with transcriptome-level gene expression data and clinical follow-up were identified from public repositories. All samples were normalized and entered into an integrated database. Cox univariate survival analysis was performed for all genes and was followed by multivariate analysis for selected genes involving clinical and pathological variables. False discovery rate was computed for multiple hypothesis testing

SUBMITTER: Gyorffy B 

PROVIDER: S-EPMC10400493 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature