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Dataset Information

High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer.


ABSTRACT:

Background

High-grade serous ovarian cancer (HGSOC) is a fatal form of ovarian cancer. Previous studies indicated some potential biomarkers for clinical evaluation of HGSOC prognosis. However, there is a lack of systematic analysis of different expression genes (DEGs) to screen and detect significant biomarkers of HGSOC.

Methods

TCGA database was conducted to analyze relevant genes expression in HGSOC. Outcomes of candidate genes expression, including overall survival (OS) and progression-free survival (PFS), were calculated by Cox regression analysis for hazard rates (HR). Histopathological investigation of the identified genes was carried out in 151 Chinese HGSOC patients to validate gene expression in different stages of HGSOC.

Results

Of all 57,331 genes that were

SUBMITTER: Li M 

PROVIDER: S-EPMC7590670 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature