OBJECTIVE: Epithelial ovarian cancer is the deadliest gynecologic malignancy, yet its molecular etiology remains poorly understood. Evidence is accumulating to support a role for the insulin-like growth factor family in human carcinogenesis, and recently using microarray expression analysis, we demonstrated over-expression of the insulin-like growth factor-2 (IGF-2) gene in advanced stage epithelial ovarian cancers. The purpose of the current study is to further elucidate the role of the IGF-2 gene in ovarian cancer development and progression. METHODS: Relative expression of IGF-2 was measured in 109 epithelial ovarian cancers and eight normal ovarian surface epithelial (NOSE) samples, using quantitative real-time polymerase chain reaction. Associations with clinicopathological parameters were examined. RESULTS: Expression of the IGF-2 gene was more than 300-fold higher in ovarian cancers compared with normal ovarian surface epithelium samples (P <0.001). High IGF-2 expression was associated with advanced stage disease at diagnosis (P <0.001), high-grade cancers (P <0.05) and sub-optimal surgical cytoreduction (P = 0.08). In multivariate analysis, relative IGF-2 expression was an independent predictor of poor survival. CONCLUSIONS: Expression of the IGF-2 gene is significantly higher in ovarian cancers relative to normal ovarian surface epithelium. Further, high IGF-2 gene expression is associated with high grade, advanced stage disease, and is an independent predictor of poor survival in patients with epithelial ovarian cancer. As such, IGF-2 is a molecular marker and potential therapeutic target for the most aggressive epithelial ovarian cancers.
OBJECTIVE:Epithelial ovarian cancer is the deadliest gynecologic malignancy, yet its molecular etiology remains poorly understood. Evidence is accumulating to support a role for the insulin-like growth factor family in humancarcinogenesis, and recently using microarray expression analysis, we demonstrated over-expression of the insulin-like growth factor-2 (IGF-2) gene in advanced stage epithelial ovarian cancers. The purpose of the current study is to further elucidate the role of the IGF-2 gene in ovarian cancer development and progression. METHODS: Relative expression of IGF-2 was measured in 109 epithelial ovarian cancers and eight normal ovarian surface epithelial (NOSE) samples, using quantitative real-time polymerase chain reaction. Associations with clinicopathological parameters were examined. RESULTS: Expression of the IGF-2 gene was more than 300-fold higher in ovarian cancers compared with normal ovarian surface epithelium samples (P <0.001). High IGF-2 expression was associated with advanced stage disease at diagnosis (P <0.001), high-grade cancers (P <0.05) and sub-optimal surgical cytoreduction (P = 0.08). In multivariate analysis, relative IGF-2 expression was an independent predictor of poor survival. CONCLUSIONS: Expression of the IGF-2 gene is significantly higher in ovarian cancers relative to normal ovarian surface epithelium. Further, high IGF-2 gene expression is associated with high grade, advanced stage disease, and is an independent predictor of poor survival in patients with epithelial ovarian cancer. As such, IGF-2 is a molecular marker and potential therapeutic target for the most aggressive epithelial ovarian cancers.
Authors: Celeste Leigh Pearce; Jennifer A Doherty; David J Van Den Berg; Kirsten Moysich; Chris Hsu; Kara L Cushing-Haugen; David V Conti; Susan J Ramus; Aleksandra Gentry-Maharaj; Usha Menon; Simon A Gayther; Paul D P Pharoah; Honglin Song; Susanne K Kjaer; Estrid Hogdall; Claus Hogdall; Alice S Whittemore; Valerie McGuire; Weiva Sieh; Jacek Gronwald; Krzysztof Medrek; Anna Jakubowska; Jan Lubinski; Georgia Chenevix-Trench; Jonathan Beesley; Penelope M Webb; Andrew Berchuck; Joellen M Schildkraut; Edwin S Iversen; Patricia G Moorman; Christopher K Edlund; Daniel O Stram; Malcolm C Pike; Roberta B Ness; Mary Anne Rossing; Anna H Wu Journal: Hum Mol Genet Date: 2011-03-21 Impact factor: 6.150
Authors: Erin R King; Zhifei Zu; Yvonne T M Tsang; Michael T Deavers; Anais Malpica; Samuel C Mok; David M Gershenson; Kwong-Kwok Wong Journal: Gynecol Oncol Date: 2011-07-02 Impact factor: 5.482
Authors: A C Beeghly; D Katsaros; A L Wiley; I A Rigault de la Longrais; A T Prescott; H Chen; M Puopolo; T J Rutherford; H Yu Journal: J Cancer Res Clin Oncol Date: 2007-06-14 Impact factor: 4.553