Why the study?
Does 64Cu-NOTA-bevacizumab immunoPET detect RAD001-mediated decreases in tumoral VEGF content in a renal cancer xenograft model?
Does 64Cu-NOTA-bevacizumab immunoPET detect RAD001-mediated decreases in tumoral VEGF content in a renal cancer xenograft model?
64Cu-NOTA-bevacizumab immunoPET can non-invasively detect early reductions in tumoral VEGF content following mTOR inhibition, serving as a potential surrogate marker for therapeutic response.
Enables non-invasive VEGF monitoring during mTOR inhibition in xenografts; leaves open clinical translation and validation.
The importance of neovascularization for primary and metastatic tumor growth fostered numerous clinical trials of angiogenesis inhibitors either alone or in combination with conventional antineoplastic therapies. One challenge with the use of molecularly targeted agents has been the disconnection between size reduction and tumor biologic behavior, either when the drug is efficacious or when tumor resistance emerges. Here, we report the synthesis and characterization of (64)Cu-NOTA-bevacizumab as a PET imaging agent for imaging intratumoral VEGF content in vivo. (64)Cu-NOTA-bevacizumab avidly accumulated in 786-O renal carcinoma xenografts with lower levels in host organs. RAD001 (everolimus) markedly attenuated (64)Cu-NOTA-bevacizumab accumulation within 786-O renal carcinoma xenografts. Tumor tissue and cellular molecular analysis validated PET imaging, demonstrating decreases in total and secreted VEGF content and VEGFR2 activation. Notably, (64)Cu-NOTA-bevacizumab PET imaging was concordant with the growth arrest of RAD001 tumors. These data suggest that immunoPET targeting of angiogenic factors such as VEGF could be a new class of surrogate markers complementing the RECIST criteria in patients receiving molecularly targeted therapies.
No takes yet. Share an insight, caveat, or question.
Chang et al. (2013) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: