biostudies-literatureZhang YIntramural NIH HHSUniformed Services University of the Health Sciences689-698https://www.ebi.ac.uk/biostudies/studies/S-EPMC8916168biostudies-literatureUnknown184(3)<h4>Purpose</h4>Molecular similarities have been reported between basal-like breast cancer (BLBC) and high-grade serous ovarian cancer (HGSOC). To date, there have been no prognostic biomarkers that can provide risk stratification and inform treatment decisions for both BLBC and HGSOC. In this study, we developed a molecular signature for risk stratification in BLBC and further validated this signature in HGSOC.<h4>Methods</h4>RNA-seq data was downloaded from The Cancer Genome Atlas (TCGA) project for 190 BLBC and 314 HGSOC patients. Analyses of differentially expressed genes between recurrent vs. non-recurrent cases were performed using different bioinformatics methods. Gene Signature was established using weighted linear combination of gene expression levels. Their prognostic performanceBreast cancer research and treatmentDevelopment and validation of prognostic gene signature for basal-like breast cancer and high-grade serous ovarian cancer.PMC8916168ZIH BC011703HU0001-16-2-0004;Subawards 3406 and 3425Yang HHHooke JALiu JRaj-Kumar PKSturtz LAZhang YHu HFantacone-Campbell JLKovatich AJLee MPPraveen-Kumar AShriver CDfalseDevelopment and validation of prognostic gene signature for basal-like breast cancer and high-grade serous ovarian cancer.<h4>Purpose</h4>Molecular similarities have been reported between basal-like breast cancer (BLBC) and high-grade serous ovarian cancer (HGSOC). To date, there have been no prognostic biomarkers that can provide risk stratification and inform treatment decisions for both BLBC and HGSOC. In this study, we developed a molecular signature for risk stratification in BLBC and further validated this signature in HGSOC.<h4>Methods</h4>RNA-seq data was downloaded from The Cancer Genome Atlas (TCGA) project for 190 BLBC and 314 HGSOC patients. Analyses of differentially expressed genes between recurrent vs. non-recurrent cases were performed using different bioinformatics methods. Gene Signature was established using weighted linear combination of gene expression levels. Their prognostic performance2020-01-01T00:00:00Z2020 Dec2025-04-19T12:52:55.83Z2025-04-19T12:52:55.83ZS-EPMC89161683288001610.1007/s10549-020-05884-z