Metabolic reprogramming and validation of hyperpolarized 13C lactate as a prostate cancer biomarker using a human prostate tissue slice culture bioreactor.
Metabolic reprogramming and validation of hyperpolarized 13C lactate as a prostate cancer biomarker using a human prostate tissue slice culture bioreactor.
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DOI:
10.1002/pros.22665
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发表时间:
2013-08
期刊:
影响因子:
2.8
通讯作者:
Kurhanewicz, John
中科院分区:
文献类型:
--
作者:
Keshari, Kayvan R.;Sriram, Renuka;Van Criekinge, Mark;Wilson, David M.;Wang, Zhen J.;Vigneron, Daniel B.;Peehl, Donna M.;Kurhanewicz, John
The treatment of prostate cancer has been impeded by the lack of both clinically relevant disease models and metabolic markers that track tumor progression. Hyperpolarized (HP) 13C MR spectroscopy has emerged as a new technology to investigate the metabolic shifts in prostate cancer. In this study, we investigate the glucose reprogramming using HP 13C pyruvate MR in a patient-derived prostate tissue slice culture (TSC) model. The steady-state metabolite concentrations in freshly excised human prostate TSCs were assessed and compared to those from snap-frozen biopsy samples. The TSCs were then applied to a perfused cell (bioreactor) platform, and the bioenergetics and the dynamic pyruvate flux of the TSCs were investigated by 31P and HP 13C MR, respectively. The prostate TSCs demonstrated steady-state glycolytic and phospholipid metabolism, and bioenergetics that recapitulate features of prostate cancer in vivo. 13C spectra following injection of HP 13C pyruvate showed significantly increased pyruvate to lactate flux in malignant as compared to the benign prostate TSCs. This increased flux in the malignant prostate TSCs correlated with both increased expression of monocarboxylate transporters (MCT) and activity of lactate dehydrogenase (LDH). We provide the first mechanistic evidence for HP 13C lactate as a prostate cancer biomarker in living human tissues, critical for the interpretation of in vivo studies. More broadly, the clinically relevant metabolic model system in combination with HP MR can facilitate the identification of clinically translatable biomarkers of prostate cancer presence, aggressiveness, and treatment response.
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影响因子:
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