Differential metabolism of patient-derived renal tumor tissues using clinically translatable hyperpolarized 13C pyruvate
Renuka Sriram1, Mark Van Criekinge1, Justin Delos Santos1, Kayvan R Keshari2, Donna Peehl3, John Kurhanewicz1, and Zhen Jane Wang1

1University of California, San Francisco, San Francisco, CA, United States, 2Memorial Sloan-Kettering Cancer Center, New York, NY, United States, 3Stanford University, Stanford, CA, United States

Synopsis

Management of renal cell carcinomas (RCCs) is reliant on imaging, which cannot reliably differentiate malignant RCCs from benign renal tumors. RCCs exhibit increased glycolysis, resulting in elevated lactate production. This can be used to differentiate RCCs from benign renal tumors using the hyperpolarized 13C MRI, a molecular imaging technique that can measure real-time dynamic pathway-specific metabolic fluxes. Our aim was to investigate the pyruvate-to-lactate flux in living patient-derived renal tissues using hyperpolarized [1-13C]pyruvate. We have shown that rapid lactate efflux is a distinguishing feature of clear cell RCCs (which comprise 90% of all RCCs), and can be detected using hyperpolarized [1-13C]pyruvate.

Aim

The incidence of renal tumors has risen dramatically in the last 20 years, largely due to the increased utilization of imaging with incidental discovery of many localized tumors. Management of renal tumors relies heavily on imaging. For these localized tumors, current imaging techniques cannot distinguish approximately 20% of the tumors that are benign from the malignant renal cell carcinomas (RCCs). As such, localized tumors are most commonly treated by surgery, leading to more than 10,000 unnecessary operations for benign tumors every year in the U.S. alone. RCCs exhibit increased glycolysis (aka Warburg effect), resulting in elevated lactate production. This key feature may be used to differentiate RCCs from benign renal tumors using the hyperpolarized carbon-13 (HP 13C) magnetic resonance (MR), a powerful molecular imaging technique that can measure real-time dynamic pathway-specific metabolic fluxes. The purpose of this study was to investigate the pyruvate-to-lactate flux in living patient-derived renal tumor tissues using HP [1-13C]pyruvate.

Methods

Renal tissues were obtained from patients undergoing nephrectomy for renal tumors (4 benign tumors, 10 clear cell RCC, ccRCC, and 12 normal renal tissues from the nephrectomy specimen that were not involved by tumors. Cores of 8mm diameter were obtained and further sliced into 300 -350 micron thick slices (optimal thickness to allow maximal oxygen and nutrient diffusion) and cultured as previously described1. 4-5 tissue slices (~60-80 mg of primary tissue) were perfused in a 5mm MR-compatible bioreactor with reduced sample mass requirements2. The bioreactor is a custom-designed 3D perfusion system which provides a physiological setting for the tissues, and which has been shown to facilitate the metabolic characterization of hyperpolarized substrates metabolism3. NMR data were acquired on a narrow-bore 11.7T Varian INOVA (125MHz 13C) equipped with a 5mm broadband probe. 31P spectra were obtained to monitor tissue viability (via quantification of βNTP) during the bioreactor experiment. HP 13C MR was acquired dynamically (10° pulses, 3 s interval for 300 s) following injection of 0.75 mL of 4mM of [1-13C] pyruvate in the tissue slices. Additionally, some slices were incubated with [3-13C] pyruvate on a rotating plate4, and [3-13C]lactate in the media were quantified using high resolution NMR (Bruker 800MHz) over a period of 6-8 hours. Tissue staining, including H&E, and monocarboxylate transporters (MCT), was performed on all the slices and a clinical pathologist classified and graded the tissue slices. mRNA expression levels of MCT4 (MCT isoform responsible for lactate transport) and LDH-A (lactate dehydrogenase , isoform A) and the enzyme activity of LDH (lactate dehydrogenase, enzyme that interconverts pyruvate and lactate) were quantified. All data are expressed as mean ± std.error. Two tailed student’s t-test was used with a significance level of p<0.05.

Results and Discussion

Fig.1 shows a representative 31P spectra of a ccRCC with elevated PMEs (phosphomonoesters, which comprises of phophosholine,PC, and phosphoethanolamine, PE) similar to prior work5. The inset shows stable bNTP concentrations of the tissue slices maintained in the bioreactor for over 24 hours, which provides evidence of metabolic viability during the course of HP MRS bioreactor study. A representative HP 13C MR spectra acquired at 50 sec after infusion of HP pyruvate in a grade 2 ccRCC, and the kinetics of lactate production are shown in fig.2A. Benign tumor tissue produced 2.5 fold higher HP lactate (p<0.005) than normal renal tissue (fig.2B). The observed HP lactate of ccRCC is, however, lower than that of benign renal tumors despite significantly higher LDH expression and activity in ccRCCs (fig.3). This likely reflects rapid lactate efflux in ccRCC. In the bioreactor with a continuous flow of medium, rapidly exported lactate is expected to flow away from the active region of the MR coil, and would not contribute to the observed hyperpolarized lactate signal. The rapid lactate efflux in ccRCC is supported by significantly higher mRNA expression and immunohistochemical stain of MCT4, which exports lactate out of the cell (fig.4). We further confirmed the increased lactate efflux in ccRCC via thermal labeling of renal tissues with [3-13C] pyruvate and measuring [3-13C]lactate in the media. We observed three fold higher rate of lactate efflux in ccRCC compared to the normal kidney and benign tumor tissue (fig.4C).

Conclusion

We have shown that rapid lactate efflux is a characteristic feature of ccRCCs. This feature can be used to differentiate ccRCCs (which comprise the majority of all RCCs) from benign tumors using HP 13C pyruvate MR. Because of the implication of lactate efflux in tumor invasiveness and the prognostic value of MCT4 expression in ccRCC6, HP pyruvate MR has the potential to provide noninvasive metabolic biomarkers of renal tumor aggressiveness.

Acknowledgements

Sukumar Subramaniam, Dave Korenchan, Ailin Hansen, Bertram Koelsch, Jessie Lee, Robert Bok, Romelyn DeLos Santos and Rosalie Nolley.

Grants: P41 EB013598 (JK), Department of Defense Peer Reviewed Visionary Postdoctoral Fellowship CA110032 (RS), Department of Defense Peer Reviewed Cancer Research Concept Award (ZJW), Radiological Society of North America Scholar grant (ZJW).

References

1 H. Zhao, R. Nolley, Z. Chen and D. M. Peehl, Am J Pathol, 2010, 177, 229–239.

2 K. R. Keshari, D. M. Wilson, M. Van Criekinge, R. Sriram, B. L. Koelsch, Z. J. Wang, H. F. VanBrocklin, D. M. Peehl, T. O'Brien, D. Sampath, R. A. D. Carano and J. Kurhanewicz, Prostate, 2015.

3 K. R. Keshari, R. Sriram, M. Van Criekinge, D. M. Wilson, Z. J. Wang, D. B. Vigneron, D. M. Peehl and J. Kurhanewicz, Prostate, 2013, 73, 1171–1181.

4 A. E. Thong, H. Zhao, A. Ingels, M. P. Valta, R. Nolley, J. Santos, S. R. Young and D. M. Peehl, Urol. Oncol., 2014, 32, 43.e23–30.

5 B. Ross, D. Freeman and L. Chan, Kidney Int, 1986, 29, 131–141.

6 P. Fisel, V. Stühler, J. Bedke, S. Winter, S. Rausch, J. Hennenlotter, A. T. Nies, A. Stenzl, M. Scharpf, F. Fend, S. Kruck, M. Schwab and E. Schaeffeler, Oncotarget, 6, 30615–30627.

Figures

Figure 1: 31P spectrum of grade 2 ccRCC. The inset shows the temporal bNTP concentration. (PDE= phosphodiesters, NTP= Nucleoside triphosphate, NAD= nicotinamide adenine dinucleotide, UDP= uridine diphosphates)

Figure 2: HP [1-13C]pyruvate metabolism of renal tissues. A) Representative HP 13C spectrum of grade 2 ccRCC tissue. Inset of lactate kinetics over 5 minutes. B) Bar graphs of normalized HP [1-13C] lactate in the renal tissue slices.

Figure 3: A) LDH-A expression of renal tissue slices. B) LDH activity of renal tissue slices. (white bars = normal renal tissue, gray bars= benign renal tumors and black bars=ccRCC)

Figure 4: MCT4 expression and lactate efflux. A) Immunohistochemical staining of MCT4. B) mRNA expression of MCT4 in renal tissue slices. C)Rate of lactate efflux in renal tissue slices. (white bars = normal renal tissue, gray bars= benign renal tumors and black bars=ccRCC)



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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