Abigail R Molloy1, Chloé Najac1, Aliya Lakhani1, Elavarasan Subramani1, Georgios Batsios1, Anne Marie Gillespie1, Russell O Pieper2,3, Pavithra Viswanath1, and Sabrina M Ronen1,3
1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States, 3Brain Tumor Research Center, University of California, San Francisco, San Francisco, CA, United States
Synopsis
Mutant
IDH1 (IDH1mut) drives glioma development, and targeted IDH1mut inhibitors show promising
results in clinical trials. However, treatment is not associated with tumor shrinkage,
and there is an urgent need for early imaging biomarkers of response. Our
studies in IDH1mut-expressing glioma cells indicate that treatment with IDH1mut
inhibitors leads to 1H and 13C-MRS-detectable metabolic changes.
Specifically, we show a decrease in 2-HG and increase in glutamate, as well as
an increase in metabolic flux from glutamine to glutamate. Furthermore,
hyperpolarized [1-13C] α-ketoglutarate can probe these
alterations in metabolism. This identifies potential non-invasive biomarkers of
response to IDH1mut inhibition in glioma.
Introduction
Mutations in the cytosolic enzyme isocitrate
dehydrogenase 1 (IDH1) are reported in 70-90% of low-grade gliomas and
secondary glioblastomas1, 2. Mutant
IDH1 (IDH1mut) induces MRS-detectable metabolic reprogramming and catalyzes the
reduction of α-ketoglutarate
(α-KG) to
2-hydroxyglutarate (2-HG), an oncometabolite that drives tumorigenesis1, 2. Inhibition of IDH1mut is therefore an
attractive therapeutic approach and targeted inhibitors of IDH1 and pan-IDH1/2
such as AG-120 and AG-881, respectively, have shown promising results in
clinical trials for gliomas7, 8. However, response is typically
associated with inhibition in tumor growth rather than tumor shrinkage. Therefore,
there is an urgent need to identify non-invasive methods of imaging response to
IDH1mut inhibitor therapy. Prior work from our laboratory has revealed the role
of 2-HG in inducing a broad magnetic resonance spectroscopy (MRS)-detectable
metabolic reprogramming in IDH1mut glioma cells3-6. Therefore, the goal of this study was to examine the utility of 1H
and 13C magnetic resonance spectroscopy (MRS) to non-invasively
image response to IDH1mut inhibition in low-grade gliomas.Methods
Two genetically engineered cell lines were transduced to
express IDH1mut (U87IDH1mut and NHAIDH1mut) and maintained in culture as
described3. Cells
were labeled with [1-13C] glucose or [3-13C] glutamine4 and
treated every 24 hours with 1µM AG-120, 1µM AG-881, or DMSO (vehicle, >0.1%)
for 72 hours. Metabolites were extracted using the dual-phase extraction method
as described9 and 1H-MRS
(90˚ FA, 3s TR, 384 acquisitions) and 13C-MRS (30˚ FA, 3s TR, 2048
acquisitions) spectra were acquired using a 500MHz Bruker Avance spectrometer.
Detectable metabolites were quantified by peak integration using Mnova (Mestrelab),
corrected for saturation effects and NOE and normalized to cell number and
external reference (43mM TSP)3.
Statistical significance of differences was determined using an unpaired
Student’s t-test, with p<0.05 considered significant. For hyperpolarized 13C-MRS
experiments, [1-13C] α-ketoglutarate was prepared as
described6,
polarized (Oxford HyperSense DNP), dissolved in isotonic buffer, and injected
into cell suspensions or lysates in a 5mm NMR tube. 13C-MRS spectra
were acquired every 3 seconds for 300 seconds using a 1.5T pulsar spectrometer
or 500MHz Varian spectrometer. Spectrophotometric enzyme assays were
performed on an Infinite m200 spectrophotometer (Tecan Systems) using appropriate
activity assay kits (Biovision).Results and Discussion
Prior to investigating the
metabolic effects of AG-120 and AG-881, we confirmed that treatment results in
a significant drop (30-70%) in IDH1mut activity in both cell models (NHAIDH1mut
and U87IDH1mut) compared with DMSO-treated control cells (Fig. 1A). Additionally,
IDH1mut inhibition was associated with a significant drop (40-50%) in the
number of colonies produced by both cell models (Fig. 1B).
As expected, our 1H-MRS
data indicated that treatment of both cell models with AG-120 or AG-881 induced
a significant decrease in steady-state 2-HG compared with control cells.
Interestingly however, we also observed a significant increase in steady-state glutamate
and phosphocholine, pointing to broader changes in the metabolism of treated
cells and a unique MRS-detectable signature (Fig. 2A-2B, data shown only
for NHAIDH1mut model; similar data observed for U87IDH1mut).
To further evaluate whether
changes in steady-state levels of glutamate and 2-HG were associated with altered
metabolic fluxes, we probed glutamate and 2-HG synthesis from [1-13C]
glucose or [3-13C] glutamine, the main metabolic precursors of these
metabolites3. 13C-MRS data showed a significant
increase in the flux of [3-13C] glutamine to glutamate following
AG-120 or AG-881 treatment in both cell models
(Fig. 3A&3C). The
flux of [1-13C] glucose to glutamate remained unchanged in the
NHAIDH1mut model
(Fig. 3B&3C) and was slightly increased in the
U87IDH1mut model. Fluxes from both [1-13C] glucose and [3-13C]
glutamine to 2-HG were significantly decreased following treatment in both cell
models
(Fig. 3D).
Based on these results, we dynamically
probed the metabolism of glutamate and 2-HG from hyperpolarized [1-13C] α-ketoglutarate.
We found an increase in metabolism to glutamate
(Fig. 4A-4B) and a
decrease in metabolism to 2-HG
(Fig. 5A-5B) from [1-13C] α-ketoglutarate
in treated cells, consistent with the above-mentioned labeling and steady-state
results.
Taken together, our studies indicate that IDH1mut
inhibition induces unique MRS-detectable metabolic alterations that can
potentially be exploited for early non-invasive, clinically translatable
detection of response to emerging IDH1mut inhibitors. Conclusion
In this study, we have identified potential 1H
and 13C-MRS detectable biomarkers of response to two IDH1mut inhibitors
in glioma. Although further studies are needed to evaluate the utility of these
biomarkers in vivo, we expect that hyperpolarized
[1-13C] α-ketoglutarate
could serve as a metabolic imaging probe for response to treatment. Acknowledgements
This work is supported by NIH R01CA197254, NIH
R01CA172845, American Brain Tumor Association grant BRF1700006, UCSF Brain
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