Publications (15) View all
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Article: Pharmacologic Activation of Tumor Hypoxia: A Means to Increase Tumor 2-Deoxy-2-[18F]Fluoro-D-glucose Uptake?
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ABSTRACT: Tumor hypoxia and tumor metabolism are linked through the activation of metabolic genes following hypoxia-inducible factor 1 (HIF-1) activation. This raises the question of whether this relationship can be exploited to improve 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography ([18F]FDG-PET). To do this, [18F]FDG uptake was investigated after chemical induction of hypoxia and chemical activation of HIF-1 in an in vitro and an in vivo model of a human colorectal carcinoma. [18F]FDG uptake, HIF-1α protein levels, and messenger ribonucleic acid expression of glucose transporter 1 (GLUT1), hexokinase 2, HIF-1α, and carbonic anhydrase IX (CA IX) were determined in HT29 cells after treatment with 200 μM CoCl2 and 500 μM dimethyloxalylglycine (DMOG). In an HT29 xenograft, the distribution of endogenous and exogenous markers of hypoxia was investigated using immunohistochemistry, and tumor [18F]FDG uptake was determined after treatment with a single dose of 5 mg/kg hydralazine and 8 mg DMOG. Treatment of HT29 cells with CoCl2 and DMOG induced functional HIF-1 and resulted in increased [18F]FDG uptake. In an HT29 xenograft, a similar spatial distribution of pimonidazole, CA IX, and GLUT1 was found, and treatment with DMOG resulted in significant increases in maximum and mean standardized uptake values using [18F]FDG-PET. Chemical activation of HIF-1 can increase in vitro and in vivo [18F]FDG uptake. Imaging after pharmacologic HIF-1 activation might increase tumor [18F]FDG uptake when using [18F]FDG-PET.Molecular Imaging 02/2013; 12(1):49-58. · 3.18 Impact Factor -
Dataset: VanGestelin vivo apoptosis2011
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Article: Single-photon emission computed tomographic imaging of the early time course of therapy-induced cell death using technetium 99m tricarbonyl His-annexin A5 in a colorectal cancer xenograft model.
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ABSTRACT: As apoptosis occurs over an interval of time after administration of apoptosis-inducing therapy in tumors, the changes in technetium 99m ((99m)Tc)-tricarbonyl (CO)₃ His-annexin A5 (His-ann A5) accumulation over time were examined. Colo205-bearing mice were divided into six treatment groups: (1) control, (2) 5-fluorouracil (5-FU; 250 mg/kg), (3) irinotecan (100 mg/kg), (4) oxaliplatin (30 mg/kg), (5) bevacizumab (5 mg/kg), and (6) panitumumab (6 mg/kg). (99m)Tc-(CO)₃ His-ann A5 was injected 4, 8, 12, 24, and 48 hours posttreatment, and micro-single-photon emission computed tomography was performed. Immunostaining of caspase-3 (apoptosis), survivin (antiapoptosis), and LC3-II (autophagy marker) was also performed. Different dynamics of (99m)Tc-(CO)₃ His-ann A5 uptake were observed in this colorectal cancer xenograft model, in response to a single dose of three different chemotherapeutics (5-FU, irinotecan, and oxaliplatin). Bevacizumab-treated mice showed no increased uptake of the radiotracer, and a peak of (99m)Tc-(CO)₃ His-ann A5 uptake in panitumumab-treated mice was observed 24 hours posttreatment, as confirmed by caspase-3 immunostaining. For irinotecan-, oxaliplatin-, and bevacizumab-treated tumors, a significant correlation was established between the radiotracer uptake and caspase-3 immunostaining (r = .8, p < .05; r = .9, p < .001; r = .9, p < .001, respectively). For 5-FU- and panitumumab-treated mice, the correlation coefficients were r = .7 (p = .18) and r = .7 (p = .19), respectively. Optimal timing of annexin A5 imaging after the start of different treatments in the Colo205 model was determined.Molecular Imaging 04/2012; 11(2):135-47. · 3.18 Impact Factor -
Article: (99)mTc-(CO)(3) His-annexin A5 micro-SPECT demonstrates increased cell death by irinotecan during the vascular normalization window caused by bevacizumab.
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ABSTRACT: Colorectal tumors are dependent on angiogenesis for growth, and vascular endothelial growth factor (VEGF) is a key mediator of tumor angiogenesis. Antiangiogenic drugs can induce a transient normalization of the tumor vasculature with improved delivery of coadministered chemotherapy. The efficacy of antihuman VEGF antibody (bevacizumab) with or without irinotecan was evaluated in a colorectal cancer xenograft using (99m)Tc-(CO)(3) His-annexin A5. Colo205-bearing mice were treated with a single dose of bevacizumab (5 mg/kg) during 2, 4, or 6 d. Microvessel density, pericyte coverage (α-smooth-muscle actin immunostaining), collagen-covered tumor vessels (Masson trichrome staining), and tumor hypoxic fraction (pimonidazole staining) were determined at the 3 different time points after treatment with bevacizumab. To investigate the possible synergistic effects of combination therapy with bevacizumab and irinotecan, Colo205-bearing mice were treated with a single dose of bevacizumab 2, 4, or 6 d before administration of a single dose of irinotecan (100 mg/kg) or 0.9% NaCl. The apoptosis-detecting radiotracer (99m)Tc-(CO)(3) His-annexin A5 was injected (18.5 MBq) in mice 12, 24, and 48 h after the start of the irinotecan or NaCl treatment, and micro-SPECT was subsequently performed 3.5 h after injection of the radiotracer. Results were correlated to histologic analysis for apoptosis (caspase-3 activation). Four days after bevacizumab administration, microvessel density decreased significantly, and α-smooth-muscle actin and collagen-covered vessels, compared with control tumors, were increased, suggesting normalization of the tumor vasculature. Hypoxic fraction was slightly reduced 4 d after treatment with bevacizumab. SPECT analyses demonstrated a significant increase in tumoral (99m)Tc-(CO)(3) His-annexin A5 uptake 4 d after bevacizumab treatment and 24 h after irinotecan administration (232.78 ± 24.82 percentage injected dose/tumor weight [g]/body weight [kg], P < 0.05), compared with each monotherapy, indicating a synergistic effect of both therapies. (99m)Tc-(CO)(3) His-annexin A5 micro-SPECT demonstrates increased antitumor activity of irinotecan during the transient vascular normalization period caused by bevacizumab. Our data outline the importance of timing of combined anti-VEGF treatment with chemotherapy.Journal of Nuclear Medicine 11/2011; 52(11):1786-94. · 6.38 Impact Factor -
Article: In vivo imaging of apoptosis in oncology: an update.
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ABSTRACT: In this review, data on noninvasive imaging of apoptosis in oncology are reviewed. Imaging data available are presented in order of occurrence in time of enzymatic and morphologic events occurring during apoptosis. Available studies suggest that various radiopharmaceutical probes bear great potential for apoptosis imaging by means of positron emission tomography and single-photon emission computed tomography (SPECT). However, for several of these probes, thorough toxicologic studies are required before they can be applied in clinical studies. Both preclinical and clinical studies support the notion that 99mTc-hydrazinonicotinamide-annexin A5 and SPECT allow for noninvasive, repetitive, quantitative apoptosis imaging and for assessing tumor response as early as 24 hours following treatment instigation. Bioluminescence imaging and near-infrared fluorescence imaging have shown great potential in small-animal imaging, but their usefulness for in vivo imaging in humans is limited to structures superficially located in the human body. Although preclinical tumor-based data using high-frequency-ultrasonography (US) are promising, whether or not US will become a routinely clinically useful tool in the assessment of therapy response in oncology remains to be proven. The potential of magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) for imaging late apoptotic processes is currently unclear. Neither 31P MRS nor 1H MRS signals seems to be a unique identifier for apoptosis. Although MRI-measured apparent diffusion coefficients are altered in response to therapies that induce apoptosis, they are also altered by nonapoptotic cell death, including necrosis and mitotic catastrophe. In the future, rapid progress in the field of apoptosis imaging in oncology is expected.Molecular Imaging 04/2011; 10(5):340-58. · 3.18 Impact Factor
