4.7 Article

A Peptide-Based Positron Emission Tomography Probe for In Vivo Detection of Caspase Activity in Apoptotic Cells

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CLINICAL CANCER RESEARCH
卷 20, 期 8, 页码 2126-2135

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AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-13-2444

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  1. NIH [R01-CA140628, RC1-CA145138, K25-CA127349, P50-CA128323, P50-CA95103, U24-CA126588, S10-RR17858, R 41-MH85768, 5P30 DK058404, R25-CA136440]
  2. Kleberg Foundation

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Purpose: Apoptosis, or programmed cell death, can be leveraged as a surrogate measure of response to therapeutic interventions in medicine. Cysteine aspartic acid-specific proteases, or caspases, are essential determinants of apoptosis signaling cascades and represent promising targets for molecular imaging. Here, we report development and in vivo validation of [F-18]4-fluorobenzylcarbonyl-Val-Ala-Asp(OMe)-fluoromethylketone ([F-18]FB-VAD-FMK), a novel peptide-based molecular probe suitable for quantification of caspase activity in vivo using positron emission tomography (PET). Experimental Design: Supported by molecular modeling studies and subsequent in vitro assays suggesting probe feasibility, the labeled pan-caspase inhibitory peptide, [F-18]FB-VAD-FMK, was produced in high radiochemical yield and purity using a simple two-step, radiofluorination. The biodistribution of [F-18]FB-VAD-FMK in normal tissue and its efficacy to predict response to molecularly targeted therapy in tumors was evaluated using microPET imaging of mouse models of human colorectal cancer. Results: Accumulation of [F-18]FB-VAD-FMK was found to agree with elevated caspase-3 activity in response to Aurora B kinase inhibition as well as a multidrug regimen that combined an inhibitor of mutant BRAF and a dual PI3K/mTOR inhibitor in (V600E)BRAF colon cancer. In the latter setting, [F-18]FB-VAD-FMK PET was also elevated in the tumors of cohorts that exhibited reduction in size. Conclusions: These studies illuminate [F-18]FB-VAD-FMK as a promising PET imaging probe to detect apoptosis in tumors and as a novel, potentially translatable biomarker for predicting response to personalized medicine. (C) 2014 AACR.

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