IGF axis gene expression patterns are prognostic of survival in epithelial ovarian cancer Journal Article


Authors: Spentzos, D.; Cannistra, S. A.; Grall, F.; Levine, D. A.; Pillay, K.; Libermann, T. A.; Mantzoros, C. S.
Article Title: IGF axis gene expression patterns are prognostic of survival in epithelial ovarian cancer
Abstract: The IGF axis has documented growth-promoting effects in various malignancies, but its role in epithelial ovarian cancer (EOC) has not been adequately examined. We studied the expression of the IGF axis genes in relation to outcome in EOC. Microarray expression profiles from 64 patients with advanced-stage EOC were used. Two multi-gene subsets were chosen, one upstream of the IGF receptor ('IGF family') and the other downstream of the IGF receptor ('IGF signaling pathway'), and analyzed in relation to survival. In addition, expression patterns of the two gene subsets were analyzed in relation to favorable and unfavorable prognosis categories identified in a previous study by whole-genome expression profiling. In a gene-by-gene analysis, IGF binding protein 4 and IGF-II receptor gene expression was inversely associated with survival. Using hierarchical clustering, the two multi-gene subsets separated the patient cohort into two groups with different median survival (IGF family: 33 vs 63 months, P = 0.02 and IGF signaling pathway: 41 vs 63 months, P = 0.05). Furthermore, the two multi-gene subsets were differentially expressed between the previously defined favorable and unfavorable prognosis tumors (Kolmogorov-Smirnov permutation: P = 0.0005 and 0.003 for the IGF family and signaling pathway respectively), and individual genes (including IGF-I, IGF-I receptor, and several genes downstream of the receptor) were overexpressed in unfavorable prognosis tumors (permutation P < 0.05). The expression patterns of several genes in the IGF axis are associated with survival in EOC, and expression changes of these genes may be underlying previously proposed microarray-derived clinical prognostic models. Future studies are needed to more precisely determine the diagnostic and potential therapeutic significance of these findings. © 2007 Society for Endocrinology.
Keywords: signal transduction; survival; somatomedin; adult; cancer survival; human tissue; aged; aged, 80 and over; middle aged; survival analysis; major clinical study; mutation; cancer staging; outcome assessment; genetic analysis; ovarian neoplasms; ovary cancer; gene expression; gene expression profiling; models, biological; gene expression regulation, neoplastic; microarray analysis; oligonucleotide array sequence analysis; genomics; multivariate analysis; linkage (genetics); multigene family; neoplasms, glandular and epithelial; somatomedins; insulin receptor; somatomedin binding protein 4; somatomedin binding protein 2; kolmogorov smirnov test
Journal Title: Endocrine-Related Cancer
Volume: 14
Issue: 3
ISSN: 1351-0088
Publisher: Bioscientifica Ltd  
Date Published: 2007-09-01
Start Page: 781
End Page: 790
Language: English
DOI: 10.1677/erc-06-0073
PUBMED: 17914107
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 12" - "Export Date: 17 November 2011" - "CODEN: ERCAE" - "Source: Scopus"
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Douglas A Levine
    380 Levine