ArticlePeerJ2021
Evaluation of FGFR1 as a diagnostic biomarker for ovarian cancer using TCGA and GEO datasets.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 12 citations in OpenAlex.
- Article
- RNA sequencing in ovarian cancer research: a comprehensive review.Journal of ovarian research · 2025Review
- Leucine-rich repeat-containing protein 19 suppresses colorectal cancer by targeting cyclin-dependent kinase 6/E2F1 and remodeling the immune microenvironment.World journal of gastroenterology · 2025Article
- A pan-cancer analysis of the oncogenic function of HMGB1 in human tumors.Biochemistry and biophysics reports · 2024Article
- Analysis and identification of oxidative stress-ferroptosis related biomarkers in ischemic stroke.Scientific reports · 2024Article
- Signatures of tumor-associated macrophages correlate with treatment response in ovarian cancer patients.Aging · 2024Article
- ATF4 renders human T-cell acute lymphoblastic leukemia cell resistance to FGFR1 inhibitors through amino acid metabolic reprogramming.Acta pharmacologica Sinica · 2023Article
- A pan-cancer analysis of the oncogenic role of Keratin 17 (Translational cancer research · 2021Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMalignant 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.
methodsWe 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 then used gene set enrichment analysis (GSEA) to analyze the DEG data in order to identify enriched pathways related to FGFR1.
resultsDifferential expression analysis revealed that FGFR1 was significantly downregulated in OC specimens. 303 patients were included in the TCGA cohort. The GEO dataset confirmed these findings using information on 75 Asian patients. The GSE105437 and GSE12470 database highlighted the significant diagnostic value of FGFR1 in identifying OC (AUC = 1,
conclusionsOur study examined existing TCGA and GEO datasets for novel factors associated with OC and identified FGFR1 as a potential diagnostic factor. Further investigation is warranted to characterize the role played by FGFR1 in OC.
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