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Published online first on November 6, 2006
[Cancer Research, 10.1158/0008-5472.CAN-06-1327]
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Molecular Biology, Pathobiology, and Genetics

New Potential Ligand-Receptor Signaling Loops in Ovarian Cancer Identified in Multiple Gene Expression Studies

Giancarlo Castellano 1, James F. Reid , Paola Alberti , Maria Luisa Carcangiu , Antonella Tomassetti *, Silvana Canevari

1 1Unit of Molecular Therapies, Department of Experimental Oncology, 2Department of Experimental Oncology, and 3Unit of Pathology C, Department of Pathology, Istituto Nazionale Tumori; and 4Molecular Genetics of Cancer Group, Fondazione Istituto FIRC di Oncologia Molecolare, Milan, Italy

* To whom correspondence should be addressed. E-mail: antonella.tomassetti{at}istitutotumori.mi.it.


   Abstract

Based on the hypothesis that gene products involved in the same biological process would be coupled at transcriptional level, a previous study analyzed the correlation of the gene expression patterns of ligand-receptor (L-R) pairs to discover potential autocrine/paracrine signaling loops in different cancers (Graeber and Eisenberg. Nat Genet 2001; 29:295). By refining the starting database, a list of 511 L-R pairs was compiled, combined to eight data sets from a single pathology, epithelial ovarian cancer, and examined as a proof-of-principle of the statistical and biological validity of the correlation of the L-R gene expression patterns in cancer. Analysis revealed a Bonferroni-corrected significant correlation of 105 L-R pairs in at least one data set and, by systematic analysis, identified 39 more frequently correlated L-R pairs, 7 of which were already biologically confirmed. In four data sets examined for an L-R correlation associated with patient survival time, 15 L-R pairs were significantly correlated in short surviving patients in two of the data sets. Immunohistochemical analysis of one of the newly identified correlated L-R pairs (i.e., EFNB3-EPHB4) revealed the correlated expression of ephrin-B3 and EphB4 proteins in 45 of 55 epithelial ovarian tumor samples (P < 0.0001). Together, these data not only support the validity of cross-comparison analysis of gene expression data because known and expected correlations were confirmed but also point to the promise of such analysis in identifying new L-R signaling loops in cancer. (Cancer Res 2006; 66(22): 10709-19)

Key Words: ovarian cancer, gene expression profiling, autocrine-paracrine signaling, signal transduction, ephrins







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Copyright © 2006 by the American Association for Cancer Research.