| Literature DB >> 25635223 |
Jonathan W Wojtkowiak1, Heather C Cornnell1, Shingo Matsumoto2, Keita Saito2, Yoichi Takakusagi2, Prasanta Dutta1, Munju Kim3, Xiaomeng Zhang1, Rafael Leos4, Kate M Bailey1, Gary Martinez1, Mark C Lloyd5, Craig Weber6, James B Mitchell2, Ronald M Lynch7, Amanda F Baker4, Robert A Gatenby8, Katarzyna A Rejniak9, Charles Hart10, Murali C Krishna2, Robert J Gillies11.
Abstract
BACKGROUND: Hypoxic niches in solid tumors harbor therapy-resistant cells. Hypoxia-activated prodrugs (HAPs) have been designed to overcome this resistance and, to date, have begun to show clinical efficacy. However, clinical HAPs activity could be improved. In this study, we sought to identify non-pharmacological methods to acutely exacerbate tumor hypoxia to increase TH-302 activity in pancreatic ductal adenocarcinoma (PDAC) tumor models.Entities:
Keywords: Computational modeling; Functional imaging; Hypoxia; Hypoxia-activated prodrugs; Metabolism; Pancreatic cancer; TH-302; Tumor microenvironment
Year: 2015 PMID: 25635223 PMCID: PMC4310189 DOI: 10.1186/s40170-014-0026-z
Source DB: PubMed Journal: Cancer Metab ISSN: 2049-3002
Figure 1Tumor hypoxia is main determinant for TH-302 Therapy. (a-c) Monotherapy TH-302 efficacy in Hs766t (a), MiaPaCa-2 (b) and SU.86.86 (c) tumors (50 mg/kg x 3 days/week x 2 weeks). Black bar represents administration of treatment. N=10 animals per treatment group. (d) Pimonidazole staining as biomarker of physical tumor hypoxia. Pimonidazole Hydrochloride was injected 2hr prior to tumor removal. Scale Bar = 300 μM (e) Carbonic Anhydrase IX (CAIX) staining as biomarker for tumor biological hypoxia. PPC analysis identified Hs766t and MiaPaCa-2 tumors as expressing significantly more CAIX than SU.86.86 tumors. (f) Histological staining of g-H2AX in PDAC tumors pre- and 48hr post-TH-302 treatment (50 mg/kg). (g) Nuclear stain intensity analysis of g-H2AX staining. g-H2AX significantly increased in Hs766t and MiaPaCa-2 Th-302 treated tumors. Data are presented as mean ± S.D of three tumor samples. A two-tailed Student’s t-test was used to determine significance. # p=0.06, ** p<0.01, ***, p<0.001. Scale Bar = 100 μM. See also Additional file 1: Figure S2.
Figure 2metabolic analysis of PDAC cell lines. Basal oxygen consumption rates [OCR (pMoles/min/mg protein)] (a), proton production rates [PPR (pMoles/min/mg protein)] (b) and OCR/PPR (c) measurements acquired using XF96 for all three PDAC cell lines. Data presented as mean ± S.D. (d) Mitochondrial bioenergetics profile indicates SU.86.86 cells as more oxidative than Hs766t and MiaPaCa-2 cells. Oligo = 1 μM oligomycin, FCCP = 1 μM FCCP and Rot/Ant = 1 μM Rotenone and 1 μM Antimycin A. (e) Glycolytic bioenergetics profile shows MiaPaCa-2 and Hs766t cells exhibit a glycolytic phenotype in comparison to SU.86.86 cells. Gluc = 12 mM D-Glucose, Oligo = 1 μM Oligomycin and 2-DG = 50 mM 2-Deoxyglucose. (f-h) ΔOCR following dose dependent administration of exogenous sodium pyruvate. Data are presented as mean ± S.D of three replicate studies. A two-tailed Student’s t-test was used to determine significance. * p<0.05, ** p<0.01, ***, p<0.001, **** p<0.0001. See also Additional file 1: Figures 3 and 4. (i) Percent glucose uptake and (j) percent pyruvate uptake presented relative to T=0 substrate concentrations. Data are presented as mean ± S.D. of three replicates.
Figure 3Dynamic C MR spectra following intravenous administration of pyruvate. 13C MR spectra from Hs766t (a), MiaPaCa-2 (c) and SU.86.86 (e) tumors. N=4 tumors per cell line. Pyruvate and lactate peaks are at 171 and 183 ppm respectively. Spectra were collected every 2 second. T2 weighted axial MR images containing slice ROI (red box) are inset. Tumor lactate and pyruvate peak intensities are shown with time for Hs766t (b), MiaPaCa-2 (d) and SU.86.86 (f) tumors. (g) Lactate to pyruvate ratio (Lac/Pyr) for all three tumor types. (N=4 tumors for each group and presented as mean ± S.D.). (h) Lactate Dehydrogenase A (LDHA) histological staining and (i) PPC analysis in all three PDAC tumors. Expression of LDHA was significantly greater in Hs766t and MiaPaCa-2 tumors in comparison to SU.86.86. Data are presented as mean ± S.D of four biological replicates. A two-tailed Student’s t-test was used to determine significance. * p<0.05. Scale Bar = 100 μM.
Figure 4EPR tumor oxygen imaging following administration of exogenous pyruvate. (a–c) EPR oxygen imaging of subcutaneous Hs766t (a), MiaPaCa-2 (b), and SU.86.86 (c) tumors pre- and post (10–60 min) IV pyruvate administration. Representative T2 weighted anatomical MR imaging and pO2 maps are provided N = 4 biological replicates per tumor type. (d) Temporal changes of mean pO2 and (e) percent hypoxic fraction (<10 mmHg) of pyruvate-treated PDAC tumors. Data presented as mean ± S.D. Proposed histological predictive biomarkers for pyruvate sensitivity. (f) Histological staining of monocarboxylate transporter (MCT) 1 expression in PDAC subcutaneous tumors. Corresponding images of positive pixel membrane staining are included. Human PDAC tissue microarray stained for MCT1 (g), MCT4 (h), and pyruvate kinase isoform M2 (i). (j) Distribution of percent positivity across well-differentiated human PDAC tissue cores. Scale bar = 100 μM. See also Additional file 1: Figure S5.
Figure 5effect of pyruvate pretreatment on improving TH-302 efficacy. Percent local tumor control of Hs766t (a), MiaPaCa-2 (b), and SU.86.86 (c) tumors were treated with saline, TH-302 alone (80 mg/kg × 5 days I.P.) or TH-302 following a 30 min pretreatment with exogenous pyruvate (1.15 mMol/kg pyruvate IV 30 min prior to 80 mg/kg TH-302 I.P. × 5 days). Response was measured as percentage of surviving animals as mice are removed from study when tumors reach 2,000 mm3. Pyruvate pretreatment significantly improved local control of Hs766t (p < 0.00225) and MiaPaCa-2 tumors with no measurable effect against SU.86.86. (d) Mean survival (days) of mice with pancreatic tumors treated with TH-302 and TH-302 in combination with pyruvate pre-treatment. N = 10 mice per treatment group. A two-tailed Student’s t-test was used to determine significance. **p < 0.01.
Figure 6Oxygen and active TH-302 distribution in simulated MiaPaCa-2 tissue extracellular space. (a) A ROI of MiaPaCa-2 xenograft tissue stained with CD-31 (i) was selected (ii) for segmentation (iii), and used as a domain for in-silico simulations of the interstitial transport of oxygen (IV). (b,c) Temporal and spatial distributions of oxygen (1st column), pyruvate (2nd column), inactive TH-302 (3rd column) and active TH-302 (4th column). The bar graphs show averaged amounts of the compound across the tissue slice. The vertical lines in oxygen bar graphs show the border between the normoxic (left) and hypoxic (right) regions of the tissue. Black dots in the active TH-302 tissue graph represent dead cells. (b) Initial distribution of oxygen before the treatment is applied. Pyruvate, inactive and active TH-302 are all absent. (c) Distributions of chemical compounds 10 min after applying TH-302. In the bottom-row simulation pyruvate was applied 30 min before TH-302 (second column) which resulted in decreased pO2 due to increased oxygen uptake by the cells exposed to pyruvate (first column), and in expanded region of TH-302 activation (last column). (d) Distributions of chemical compounds 30 min after applying TH-302. In the bottom-row simulation, pyruvate was applied 30 min before TH-302 (second column). The region of TH-302 activation in two-fold larger (yellow region in the last column), and the number of death cells is 88% larger (black dots in the last column) when compared to simulation with TH-302 only.