New potential ligand-receptor signaling loops in ovarian cancer identified in multiple gene expression studies

被引:32
作者
Castellano, Giancarlo
Reid, James F.
Alberti, Paola
Carcangiu, Maria Luisa
Tomassetti, Antonella
Canevari, Silvana
机构
[1] Ist Nazl Tumori, Dept Expt Oncol, Unit Mol Therapies, I-20133 Milan, Italy
[2] Ist Nazl Tumori, Unit Pathol C, Dept Pathol, I-20133 Milan, Italy
[3] Fdn Ist FIRC Oncol Mol, Mol Genet Canc Grp, Milan, Italy
关键词
D O I
10.1158/0008-5472.CAN-06-1327
中图分类号
R73 [肿瘤学];
学科分类号
100214 [肿瘤学];
摘要
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.
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页码:10709 / 10719
页数:11
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