ArticleOncogene2004
Gene expression profiling of advanced ovarian cancer: characterization of a molecular signature involving fibroblast growth factor 2.
Article in Oncogene, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 90 citations in OpenAlex.
- The role of cytokines in ovarian cancer drug resistance.International journal of cancer · 2026Review
- Inferring cancer common and specific gene networks via multi-layer joint graphical model.Computational and structural biotechnology journal · 2023Article
- Ubiquitous Neural Cell Adhesion Molecule (NCAM): Potential Mechanism and Valorisation in Cancer Pathophysiology, Drug Targeting and Molecular Transductions.Molecular neurobiology · 2022Review
- Identification of Hypoxia Signature to Assess the Tumor Immune Microenvironment and Predict Prognosis in Patients with Ovarian Cancer.International journal of endocrinology · 2021Article
- MicroRNA-936 targets FGF2 to inhibit epithelial ovarian cancer aggressiveness by deactivating the PI3K/Akt pathway.OncoTargets and therapy · 2019Article
- Mitochondrial function - gatekeeper of intestinal epithelial cell homeostasis.Nature reviews. Gastroenterology & hepatology · 2018Review
- Differential effects of rapalogues, dual kinase inhibitors on human ovarian carcinoma cells in vitro.International journal of oncology · 2016Article
- YAP induces high-grade serous carcinoma in fallopian tube secretory epithelial cells.Oncogene · 2016Article
- Article
- BCAT1 expression associates with ovarian cancer progression: possible implications in altered disease metabolism.Oncotarget · 2015Article
- Peritoneal tumor spread in serous ovarian cancer-epithelial mesenchymal status and outcome.Oncotarget · 2015Article
- Multiple signatures of a disease in potential biomarker space: Getting the signatures consensus and identification of novel biomarkers.BMC genomics · 2015Article
- Article
- An IL6-correlated signature in serous epithelial ovarian cancer associates with growth factor response.BMC genomics · 2013Article
- Evaluating cell lines as tumour models by comparison of genomic profiles.Nature communications · 2013Article
- Fibroblast growth factor 2 induces E-cadherin down-regulation via PI3K/Akt/mTOR and MAPK/ERK signaling in ovarian cancer cells.PloS one · 2013Article
- Validating the impact of a molecular subtype in ovarian cancer on outcomes: a study of the OVCAD Consortium.Cancer science · 2012Article
- The adhesion molecule NCAM promotes ovarian cancer progression via FGFR signalling.EMBO molecular medicine · 2011Article
- Translation efficiency in humans: tissue specificity, global optimization and differences between developmental stages.Nucleic acids research · 2010Article
- Gene expression patterns in the histopathological classification of epithelial ovarian cancer.Experimental and therapeutic medicine · 2010Article
Corrections and comments
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Authors and funding
20 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epithelial ovarian cancer (EOC) is the gynecological disease with the highest death rate. We applied an automatic class discovery procedure based on gene expression profiling to stages III-IV tumors to search for molecular signatures associated with the biological properties and progression of EOC. Using a complementary DNA microarray containing 4451 cancer-related, sequence-verified features, we identified a subset of EOC characterized by the expression of numerous genes related to the extracellular matrix (ECM) and its remodeling, along with elements of the fibroblast growth factor 2 (FGF2) signaling pathway. A total of 10 genes were validated by quantitative real-time polymerase chain reaction, and coexpression of FGF2 and fibroblast growth factor receptor 4 in tumor cells was revealed by immunohistochemistry, confirming the reliability of gene expression by cDNA microarray. Since the functional relationships among these genes clearly suggested involvement of the identified molecular signature in processes related to epithelial-stromal interactions and/or epithelial-mesenchymal cellular plasticity, we applied supervised learning analysis on ovarian-derived cell lines showing distinct cellular phenotypes in culture. This procedure enabled construction of a gene classifier able to discriminate mesenchymal-like from epithelial-like cells. Genes overexpressed in mesenchymal-like cells proved to match the FGF2 signaling and ECM molecular signature, as identified by unsupervised class discovery on advanced tumor samples. In vitro functional analysis of the cell plasticity classifier was carried out using two isogenic and immortalized cell lines derived from ovarian surface epithelium and displaying mesenchymal and epithelial morphology, respectively. The results indicated the autocrine, but not intracrine stimulation of mesenchymal conversion and cohort/scatter migration of cells by FGF2, suggesting a central role for FGF2 signaling in the maintenance of cellular plasticity of ovary-derived cells throughout the carcinogenesis process. These findings raise mechanistic hypotheses on EOC pathogenesis and progression that might provide a rational underpinning for new therapeutic modalities.
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