Metabolic imaging detects elevated glucose flux through the pentose phosphate pathway associated with TERT expression
Pavithra Viswanath1, Georgios Batsios1, Vinay Ayyappan1
1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Background:
Telomerase reverse transcriptase (TERT) is essential for tumor proliferation, including in low-grade oligodendrogliomas (LGOGs). Since TERT is silenced in normal cells, it is also a therapeutic target. Therefore, noninvasive methods of imaging TERT are needed. Here, we examined the link between TERT expression and metabolism in LGOGs, with the goal of leveraging this information for noninvasive magnetic resonance spectroscopy (MRS)-based metabolic imaging of LGOGs.
Methods:
Immortalized normal human astrocytes with doxycycline-inducible TERT silencing, patient-derived LGOG cells, orthotopic tumors, and LGOG patient biopsies were studied to determine the mechanistic link between TERT expression and glucose metabolism. The ability of hyperpolarized [U-13C, U-2H]-glucose to noninvasively assess TERT expression was tested in live cells and orthotopic tumors.
Results:
TERT expression was associated with elevated glucose flux through the pentose phosphate pathway (PPP), elevated NADPH, which is a major product of the PPP, and elevated glutathione, which is maintained in a reduced state by NADPH. Importantly, hyperpolarized [U-13C, U-2H]-glucose metabolism via the PPP noninvasively reported on TERT expression and response to TERT inhibition in patient-derived LGOG cells and orthotopic tumors. Mechanistically, TERT acted via the sirtuin SIRT2 to upregulate the glucose transporter GLUT1 and the rate-limiting PPP enzyme glucose-6-phosphate dehydrogenase.
Conclusions:
We have, for the first time, leveraged a mechanistic understanding of TERT-associated metabolic reprogramming for noninvasive imaging of LGOGs using hyperpolarized [U-13C, U-2H]-glucose. Our findings provide a novel way of imaging a hallmark of tumor immortality and have the potential to improve diagnosis and treatment response assessment for LGOG patients.
