TY - JOUR
T1 - Gene expression profiling of advanced ovarian cancer
T2 - Characterization of a molecular signature involving fibroblast growth factor 2
AU - De Cecco, Loris
AU - Marchionni, Luigi
AU - Gariboldi, Manuela
AU - Reid, James F.
AU - Lagonigro, M. Stefania
AU - Caramuta, Stefano
AU - Ferrario, Cristina
AU - Bussani, Erica
AU - Mezzanzanica, Delia
AU - Turatti, Fabio
AU - Delia, Domenico
AU - Daidone, Maria G.
AU - Oggionni, Maria
AU - Bertuletti, Norma
AU - Ditto, Antonino
AU - Raspagliesi, Francesco
AU - Pilotti, Silvana
AU - Pierotti, Marco A.
AU - Canevari, Silvana
AU - Schneider, Claudio
N1 - Funding Information:
Support for this project was provided to INT (Istituto Nazionale Tumori) – LNCIB (Laboratorio Nazionale CIB) by AIRC (Associazione Italiana Ricerca sul Cancro) Coordinated Project at IFOM (FIRC Institute for Molecular oncology) ‘Detection of cancer gene mutation and expression profiling by nanotechnology’ and by CNR/MIUR ‘Progetto strategico Oncologia’ (contract no. 02.00385.ST97 to MA Pierotti and no. 02.00386.ST97 to C Schneider) and grants to S Canevari from AIRC-FIRC and Special Project of Health Ministry.
PY - 2004/10/21
Y1 - 2004/10/21
N2 - 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.
AB - 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.
KW - Automated class discovery
KW - Epithelial-mesenchymal transition
KW - Epithelial-stromal interaction
KW - Gene expression profiling
KW - Ovarian cancer
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UR - http://www.scopus.com/inward/citedby.url?scp=7944231119&partnerID=8YFLogxK
U2 - 10.1038/sj.onc.1207979
DO - 10.1038/sj.onc.1207979
M3 - Article
C2 - 15377994
AN - SCOPUS:7944231119
SN - 0950-9232
VL - 23
SP - 8171
EP - 8183
JO - Oncogene
JF - Oncogene
IS - 49
ER -