This study demonstrated significant increases in flux through glycolysis, oxidative metabolism, and glutaminolysis associated with androgen independence using patient-derived cell lines and a treatment-driven murine model. This data supports using a combination of hyperpolarized [1-13C]pyruvate, [2-13C]pyruvate and [5-13C]glutamine to noninvasively discriminate between androgen-dependent and androgen-independent prostate cancer in future patient studies using hyperpolarized 13C MRI.
Cell labeling: LnCaP and PC3 cells were incubated with either [U-13C]glucose or [U-13C]glutamine.
TRAMP treatment and labeling: Adult male TRAMP with a solid tumor mass between 0.1–1 cc underwent orchiectomy (equivalent to chemically-induced ADT in patients). Mice with <25% increase in tumor volume one-week post-orchiectomy were defined as androgen-dependent, and mice with ≥25% increase were defined as androgen-independent (Fig3AB). [U-13C]glucose or [U-13C]glutamine was injected via tail vein over 45 minutes4. Tissue collected immediately upon sacrifice was flash-frozen in LN2.
Metabolite extraction: Aqueous metabolites were extracted using cold methanol:water:chloroform5, then lyophilized and resuspended in D2O for NMR analysis.
NMR: High-resolution NMR spectra were acquired on a Bruker 800Mhz AvanceI spectrometer equipped with a multichannel cryo-probe (Fig2A, 3C).
Metabolite quantification: Fractional enrichment (FE) was quantified using the following equation: FE=[13C-metabolite]/[12C-metabolite+13C-metabolite]. Total metabolite concentration was quantified from 13C-decoupled 1H presaturation spectra, and 13C-labeled metabolite concentrations were quantified using 1H-13C HSQC. Glutathione fractional enrichment was quantified using 1H-1H TOCSY.
First, no significant difference in glucose or glutamine uptake (Fig2B) or intracellular steady-state metabolite concentrations (Fig2C) was observed between androgen-dependent LnCaP and androgen-independent PC3 cells. In [U-13C]glucose labeling studies (Fig2D), PC3 cells had a significant increase in aspartate FE (88±4 vs 39±5, p<0.01) and glutamate FE (60±4 vs 41±3, p<0.05), indicating increased glucose contribution to oxidative metabolism, and a significant increase in lactate FE (74±3 vs 53±2, p<0.01), indicating upregulation of glycolysis, compared to LnCaP cells. Furthermore in [U-13C]glutamine labeling studies (Fig2E), PC3 cells had elevated aspartate FE (40±8 vs 65±5, p<0.05), glutamate FE (71±1 vs 57±2, p<0.01) and glutathione FE (74±1 vs 45±1, p<0.001) compared to LnCaP cells, indicating that glutaminolysis is upregulated in PC3 cells. Together these results indicate that the androgen-independent PC3 cells exhibit increased [U-13C]glucose flux through glycolysis and oxidative metabolism, and increased [U-13C]glutamine flux through glutaminolysis.
We then measured the fluxes through these pathways using a treatment-driven murine model (Fig3A) that more closely mimics tumor progression and treatment response in patients. Androgen-independent TRAMP tumors had a significantly increased lactate concentration (0.13±0.003 vs 0.05±.015, p<0.01) compared to androgen-dependent TRAMP tumors (Fig3D). Following [U-13C]glucose infusion (Fig3E), androgen-independent TRAMP tumors had elevated aspartate FE (60±12 vs 21±5, p<0.05), glutamate FE (53±12 vs 16±1, p<0.05), and lactate FE (81±4 vs 46±9, p<0.05) compared to androgen-dependent TRAMP tumors. Preliminary [U-13C]glutamine infusion data (Fig3F) shows that androgen-independent TRAMP tumors also had elevated aspartate FE (26±8 vs 5), glutamate FE (25±5 vs 3), and lactate FE (31±3 vs 5) compared to androgen-dependent TRAMP tumors. These results support cell model findings that glycolysis, oxidative metabolism, and glutaminolysis are upregulated in androgen-independent prostate tumors.
1. Albers MJ, Bok R, Chen AP, et al. Hyperpolarized 13C Lactate, Pyruvate, and Alanine: Noninvasive Biomarkers for Prostate Cancer Detection and Grading. Cancer Research. 2008;68(20):8607-8615. doi:10.1158/0008-5472.CAN-08-0749.
2. Chen H-Y, Larson PEZ, Bok RA, et al. Assessing Prostate Cancer Aggressiveness with Hyperpolarized Dual-Agent 3D Dynamic Imaging of Metabolism and Perfusion. Cancer Research. 2017;77(12):3207-3216. doi:10.1158/0008-5472.CAN-16-2083.
3. Gingrich JR, Barrios RJ, Kattan MW, Nahm HS, Finegold MJ, Greenberg NM. Androgen-independent Prostate Cancer Progression in the TRAMP Model. Cancer Research. 1997;57(21):4687-4691. http://cancerres.aacrjournals.org/content/57/21/4687.long.
4. Lane AN, Yan J, Fan TWM. 13C Tracer Studies of Metabolism in Mouse Tumor Xenografts. Bio-protocol. 2015;5(22).
5. Prasad Maharjan R, Ferenci T. Global metabolite analysis: the influence of extraction methodology on metabolome profiles of Escherichia coli. Analytical Biochemistry. 2003;313(1):145-154. doi:10.1016/S0003-2697(02)00536-5.