Survival analysis across the entire transcriptome identifies biomarkers with the highest prognostic power in breast cancer.

ABSTRACT:

Introduction

Extensive research is directed to uncover new biomarkers capable to stratify breast cancer patients into clinically relevant cohorts. However, the overall performance ranking of such marker candidates compared to other genes is virtually absent. Here, we present the ranking of all survival related genes in chemotherapy treated basal and estrogen positive/HER2 negative breast cancer.

Methods

We searched the GEO repository to uncover transcriptomic datasets with available follow-up and clinical data. After quality control and normalization, samples entered an integrated database. Molecular subtypes were designated using gene expression data. Relapse-free survival analysis was performed using Cox proportional hazards regression. False discovery rate was computed to

SUBMITTER: Gyorffy B 

PROVIDER: S-EPMC8339292 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature