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In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis
Published on: December 9, 2016
An in vivo tumor model exploiting metabolic response as a biomarker for targeted drug development
Carleen Cullinane1, Donna S Dorow, Maya Kansara
1Sir Donald and Lady Trescowthick Laboratories and Center for Molecular Imaging, Peter MacCallum Cancer Center, Melbourn, Victoria, Australia.
Abstract:
In vivo models that recapitulate oncogene-dependent tumorigenesis will greatly facilitate development of molecularly targeted anticancer therapies. We have developed a model based on activating mutations in c-KIT in gastrointestinal stromal tumors (GISTs). This model comprises murine tumors of FDC-P1 cell lines expressing c-KIT mutations that render the tumors either responsive (V560G) or resistant (D816V) to the small-molecule c-KIT inhibitor, imatinib. Clinically, GIST response to imatinib is associated with rapid reduction in fluorodeoxyglucose (FDG) uptake on positron emission tomography (PET), preceding changes in conventional response criteria by several weeks. Using the FDC-P1 model in small animal PET, FDG uptake into tumors expressing the c-KIT V560G mutation was significantly reduced as early as 4 hours after imatinib treatment. In contrast, no change in FDG uptake was observed in resistant c-KIT D816V-expressing tumors after 48 hours of imatinib treatment. Consistent with the PET results, expression of the glucose transporter, GLUT1, was significantly reduced in V560G tumors at 4 hours, preceding changes in markers of proliferation by several hours. In vitro, imatinib treatment of V560G cells resulted in a reduction of glucose transporter numbers at the cell surface and decreased glucose uptake well before changes in cell viability. Notably, decreased ambient glucose concentrations enhanced the cytotoxic effect of imatinib. Taken together, these data account for the rapidity and significance of the PET response to imatinib and suggest that metabolic effects may contribute to imatinib cytotoxicity. Further, the FDC-P1 model represents a very useful paradigm for molecularly targeted drug development.
Insights
A new mouse model for gastrointestinal stromal tumors (GISTs) shows that imatinib rapidly reduces glucose uptake in responsive tumors, suggesting metabolic changes contribute to drug effectiveness.
Area of Science:
- Oncology
- Molecular Biology
- Medical Imaging
Background:
- Developing targeted cancer therapies requires accurate in vivo models.
- Gastrointestinal stromal tumors (GISTs) often harbor c-KIT mutations.
- Imatinib is a targeted therapy for GISTs, but response mechanisms need further elucidation.
Purpose of the Study:
- To develop and validate an in vivo model for studying c-KIT-driven GISTs.
- To investigate the early metabolic effects of imatinib in responsive and resistant GIST models.
- To correlate positron emission tomography (PET) imaging findings with molecular and metabolic changes.
Main Methods:
- Established a murine FDC-P1 cell line model with specific c-KIT mutations (V560G responsive, D816V resistant).
- Utilized small animal PET imaging with fluorodeoxyglucose (FDG) to assess metabolic activity.
- Quantified glucose transporter (GLUT1) expression and glucose uptake in tumor cells.
- Evaluated cell viability and cytotoxicity under varying glucose conditions.
Main Results:
- FDG uptake significantly decreased within 4 hours in V560G tumors after imatinib treatment, unlike D816V tumors.
- GLUT1 expression and cell surface glucose transporter numbers reduced early in responsive tumors.
- In vitro studies showed decreased glucose uptake and enhanced imatinib cytotoxicity in low-glucose conditions.
- Metabolic changes preceded proliferation marker alterations and cell viability reduction.
Conclusions:
- The FDC-P1 model effectively recapitulates oncogene-dependent tumorigenesis and drug response.
- Early metabolic alterations, specifically reduced glucose uptake, are key indicators of imatinib response in GISTs.
- Metabolic effects likely contribute to the cytotoxic action of imatinib, explaining rapid PET imaging changes.
- This model serves as a valuable tool for developing and testing molecularly targeted anticancer therapies.
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