The Anti-Tumor Effect of Motesanib in Pre-Clinical Models of Human Basal-Like Breast Cancer.

2009 
Background: Growth of breast cancer is dependent upon sustained angiogenesis, of which vascular endothelial growth factor (VEGF) is a major stimulant. Increased expression of VEGF in breast cancers is associated with poor prognosis and disease recurrence, and anti-angiogenic agents are being developed as potential new therapies. Motesanib is an oral inhibitor of VEGF receptors 1, 2 and 3, platelet-derived growth factor receptor, and stem cell factor receptor (c-Kit). This study determined the effects of motesanib on the growth of human basal-like breast cancer cell lines in immunodeficient mice, alone and in combination with paclitaxel.Materials and Methods: Breast cancer cells BT-549 and GILM2 were injected into the mammary fatpad (MFP) of mice; HCC1187 cells were injected on the subcutaneous flank. Mice with established tumors (150-200 mm 3 ) received motesanib orally BID, at 7.5, 25 or 75 mg/kg for three weeks. Tumors were collected for analysis of blood vessels (CD-31 staining), viable tumor area, and for markers of proliferation (Ki67) and apoptosis (cleaved caspase-3). GILM2 cells were injected into the tibia of mice to model growth in bone; mice with GILM2 MFP or tibia tumors received motesanib (25 mg/kg BID) or paclitaxel (24 mg/kg Q4Dx5), or the combination. Intratibial GILM2 tumors expressing luciferase were monitored by bioluminescence and radiography to evaluate osteolysis. Analyses of tumor size were assessed by ANOVA, and immunohistochemical tests by Student9s t tests.Results: Motesanib produced dose-dependent inhibition of growth of BT-549, GILM2 and HCC1187 tumors. All doses of motesanib significantly inhibited the growth of BT-549 tumors (>55% inhibition, P 25mg/kg had smaller viable tissue areas (P Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 5057.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    0
    References
    1
    Citations
    NaN
    KQI
    []