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Dataset Information

Comprehensive in silico analysis of prognostic and immune infiltrates for FGFs in human ovarian cancer.


ABSTRACT:

Background

Fibroblast growth factors (FGFs) are cell signaling proteins that perform multiple biological processes in many biological processes (cell development, repair, and metabolism). The dynamics of tumor cells, such as angiogenesis, transformation, and proliferation, have a significant impact on neoplasia and are modulated by FGFs. FGFs' expression and prognostic significance in ovarian cancer (OC), however, remain unclear.

Methods

Through a series of in silico analysis, we investigated the transcriptional, survival data, genetic variation, gene-gene interaction network, ferroptosis-related genes, and DNA methylation of FGFs in OC patients.

Results

We discovered that while FGF18 expression levels were higher in OC tissues than in normal OC tissues, FGF2/7/10/17/

SUBMITTER: Wang Y 

PROVIDER: S-EPMC11465590 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature