Abstract
<div>Abstract<p>Pancreatic ductal adenocarcinoma (PDAC) is characterized by hypoxic niches that lead to treatment resistance. Therefore, studies of tumor oxygenation and metabolic profiling should contribute to improved treatment strategies. Here, we define two imaging biomarkers that predict differences in tumor response to therapy: (i) partial oxygen pressure (pO<sub>2</sub>), measured by EPR imaging; and (ii) [1-<sup>13</sup>C] pyruvate metabolism rate, measured by hyperpolarized <sup>13</sup>C MRI. Three human PDAC xenografts with varying treatment sensitivity (Hs766t, MiaPaCa2, and Su.86.86) were grown in mice. The median pO<sub>2</sub> of the mature Hs766t, MiaPaCa2, and Su.86.86 tumors was 9.1 ± 1.7, 11.1 ± 2.2, and 17.6 ± 2.6 mm Hg, and the rate of pyruvate-to-lactate conversion was 2.72 ± 0.48, 2.28 ± 0.26, and 1.98 ± 0.51 per minute, respectively (<i>n</i> = 6, each). These results are in agreement with steady-state data of matabolites quantified by mass spectroscopy and histologic analysis, indicating glycolytic and hypoxia profile in Hs766t, MiaPaca2, and Su.86.86 tumors. Fractionated radiotherapy (5 Gy × 5) resulted in a tumor growth delay of 16.7 ± 1.6 and 18.0 ± 2.7 days in MiaPaca2 and Su.86.86 tumors, respectively, compared with 6.3 ± 2.7 days in hypoxic Hs766t tumors. Treatment with gemcitabine, a first-line chemotherapeutic agent, or the hypoxia-activated prodrug TH-302 was more effective against Hs766t tumors (20.0 ± 3.5 and 25.0 ± 7.7 days increase in survival time, respectively) than MiaPaCa2 (2.7 ± 0.4 and 6.7 ± 0.7 days) and Su.86.86 (4.7 ± 0.6 and 0.7 ± 0.6 days) tumors. Collectively, these results demonstrate the ability of molecular imaging biomarkers to predict the response of PDAC to treatment with radiotherapy and TH-302.</p><p><b>Significance:</b> pO2 imaging data and clinically available metabolic imaging data provide useful insight into predicting the treatment efficacy of chemotherapy, radiation, and a hypoxia-activated prodrug as monotherapies and combination therapies in PDAC tumor xenograft models. <i>Cancer Res; 78(14); 3783–92. ©2018 AACR</i>.</p></div>
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