Evaluation of FGFR1 as a diagnostic biomarker for ovarian cancer using TCGA and GEO datasets.

ABSTRACT:

Background

Malignant ovarian cancer is associated with the highest mortality of all gynecological tumors. Designing therapeutic targets that are specific to OC tissue is important for optimizing OC therapies. This study aims to identify different expression patterns of genes related to FGFR1 and the usefulness of FGFR1 as diagnostic biomarker for OC.

Methods

We collected data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. In the TCGA cohort we analyzed clinical information according to patient characteristics, including age, stage, grade, longest dimension of the tumor and the presence of a residual tumor. GEO data served as a validation set. We obtained data on differentially expressed genes (DEGs) from the two microarray datasets. We t

SUBMITTER: Xiao H 

PROVIDER: S-EPMC7866899 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature