PURPOSE: The insulin-like growth factor (IGF) system plays important roles in cancer; blocking IGF signaling has been shown to have therapeutic effects on tumor growth. Many studies have focused on the effect of IGF-I, but few have addressed IGF-II. To assess the role of IGF-II in cancer, we analyzed IGF-II expression in ovarian cancer and examined its association with disease characteristics and prognosis. EXPERIMENTAL DESIGN: Included in the study were 215 patients with primary epithelial ovarian cancer. Fresh tumor specimens were collected during surgery, and the patients were followed for a median of 31 months. Total RNA was extracted from the tumor and analyzed for IGF-II, IGF binding protein 3 (IGFBP-3), and estrogen receptor-alpha expressions using quantitative reverse transcription PCR. Survival analysis was done to examine the associations of IGF-II with disease progression. RESULTS: IGF-II expression was found to be higher in tumors with poor prognosis; this included tumors with advanced stage, poor differentiation, serous histology, and large residual lesions. Patients with high IGF-II had elevated risk for disease progression and death, although the significance became less evident when the analysis was adjusted for clinical and pathologic variables. IGFBP-3 expression was higher in less aggressive tumors, but was not associated with disease progression. The expression of estrogen receptor-alpha had no effect on survival. CONCLUSION: This study found evidence that IGF-II expression is associated with disease progression, suggesting that IGF-II and IGF signaling are potential targets for ovarian cancer treatment. The study also indicates that IGF-II and IGFBP-3 have limited value in prognosis because of their strong associations with disease stage and tumor grade.
PURPOSE: The insulin-like growth factor (IGF) system plays important roles in cancer; blocking IGF signaling has been shown to have therapeutic effects on tumor growth. Many studies have focused on the effect of IGF-I, but few have addressed IGF-II. To assess the role of IGF-II in cancer, we analyzed IGF-II expression in ovarian cancer and examined its association with disease characteristics and prognosis. EXPERIMENTAL DESIGN: Included in the study were 215 patients with primary epithelial ovarian cancer. Fresh tumor specimens were collected during surgery, and the patients were followed for a median of 31 months. Total RNA was extracted from the tumor and analyzed for IGF-II, IGF binding protein 3 (IGFBP-3), and estrogen receptor-alpha expressions using quantitative reverse transcription PCR. Survival analysis was done to examine the associations of IGF-II with disease progression. RESULTS:IGF-II expression was found to be higher in tumors with poor prognosis; this included tumors with advanced stage, poor differentiation, serous histology, and large residual lesions. Patients with high IGF-II had elevated risk for disease progression and death, although the significance became less evident when the analysis was adjusted for clinical and pathologic variables. IGFBP-3 expression was higher in less aggressive tumors, but was not associated with disease progression. The expression of estrogen receptor-alpha had no effect on survival. CONCLUSION: This study found evidence that IGF-II expression is associated with disease progression, suggesting that IGF-II and IGF signaling are potential targets for ovarian cancer treatment. The study also indicates that IGF-II and IGFBP-3 have limited value in prognosis because of their strong associations with disease stage and tumor grade.
Authors: Mari-Anne Rowlands; Jeff M P Holly; David Gunnell; Jenny Donovan; J Athene Lane; Freddie Hamdy; David E Neal; Steven Oliver; George Davey Smith; Richard M Martin Journal: Cancer Res Date: 2011-11-21 Impact factor: 12.701
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
Authors: Pedro J Beltran; Frank J Calzone; Petia Mitchell; Young-Ah Chung; Elaina Cajulis; Gordon Moody; Brian Belmontes; Chi-Ming Li; Steven Vonderfecht; Victor E Velculescu; Guorong Yang; Jingwei Qi; Dennis J Slamon; Gottfried E Konecny Journal: Clin Cancer Res Date: 2014-04-11 Impact factor: 12.531