In silico Approach for Validating and Unveiling New Applications for Prognostic Biomarkers of Endometrial Cancer.

ABSTRACT: Endometrial cancer (EC) mortality is directly associated with the presence of prognostic factors. Current stratification systems are not accurate enough to predict the outcome of patients. Therefore, identifying more accurate prognostic EC biomarkers is crucial. We aimed to validate 255 prognostic biomarkers identified in multiple studies and explore their prognostic application by analyzing them in TCGA and CPTAC datasets. We analyzed the mRNA and proteomic expression data to assess the statistical prognostic performance of the 255 proteins. Significant biomarkers related to overall survival (OS) and recurrence-free survival (RFS) were combined and signatures generated. A total of 30 biomarkers were associated either to one or more of the following prognostic factors: histological type (n

SUBMITTER: Coll-de la Rubia E 

PROVIDER: S-EPMC8534093 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature