2H magnetic resonance imaging of labeled fumarate metabolism can detect early evidence of tumor cell death following chemoradiation, meeting a clinical need to reliably detect treatment response in glioblastoma.
Abstract
Early detection of tumor cell death in glioblastoma following treatment with chemoradiation has the potential to distinguish between true disease progression and pseudoprogression. Tumor cell death can be detected noninvasively in vivo by imaging the production of [2,3-2H2]malate from [2,3-2H2]fumarate using 2H magnetic resonance (MR) spectroscopic imaging. We show here that 2H MR spectroscopy and spectroscopic imaging measurements of [2,3-2H2]fumarate metabolism can detect tumor cell death in orthotopically implanted glioblastoma models within 48 hours following the completion of chemoradiation. Following the injection of [2,3-2H2]fumarate into tumor-bearing mice, production of [2,3-2H2]malate was measured in a human cell line–derived model and in radiosensitive and radioresistant patient-derived models of glioblastoma that were treated with temozolomide followed by targeted fractionated irradiation. The increase in the [2,3-2H2]malate/[2,3-2H2]fumarate signal ratio posttreatment, which correlated with histologic assessment of cell death, was a more sensitive indicator of treatment response than diffusion-weighted and contrast agent–enhanced 1H MRI measurements, which have been used clinically to detect responses of glioblastoma to chemoradiation. Overall, early detection of glioblastoma cell death using 2H MRI of malate production from fumarate could help improve the clinical evaluation of response to chemoradiation.
Significance:
2H magnetic resonance imaging of labeled fumarate metabolism can detect early evidence of tumor cell death following chemoradiation, meeting a clinical need to reliably detect treatment response in glioblastoma.
Graphical Abstract
Introduction
Glioblastoma is the most common of all malignant brain tumors (1, 2) and remains the deadliest primary malignant brain tumor, with a median survival of 15 months (3). Standard-of-care treatment comprises debulking surgical resection followed by treatment with temozolomide and fractionated targeted radiation (3, 4).
The response of glioblastoma to radiotherapy is typically monitored using contrast agent–enhanced MRI, where response is detected through a decrease in the size of the enhancing lesion using the response assessment in neuro-oncology criteria (5–8). However, the technique does not measure the activity of the tumor cells but the integrity of the blood-brain barrier (BBB), which when opened leads to increased contrast agent enhancement. Consequently it can be difficult to distinguish disease progression from pseudoprogression, which occurs in approximately 30% of patients and is defined as a new or enlarging area or areas of contrast agent enhancement that occur early after the end of treatment but in the absence of true tumor growth (9). Such increases may result from a transient increase in permeability of the tumor vasculature after irradiation (9), or radio-necrosis, which can also result in a disrupted BBB and oedema and usually occurs 6 to 12 months after radiotherapy (10, 11). Thus, changes in BBB permeability can influence the degree and extent of the enhancing area irrespective of the size and activity of the tumor (5, 12). Therefore, methods that assess the activity of the tumor more directly are expected to provide a more reliable distinction between true disease progression and pseudoprogression. It is notable that of the advanced imaging techniques that have been developed to distinguish between these two scenarios magnetic resonance spectroscopy (MRS) measurements of tumor cell metabolism have shown the best sensitivity and specificity (13). An alternative to measuring the metabolic activity of the tumor cells posttreatment is to measure tumor cell death directly, which has the potential to indicate longer-term outcomes (14).
We have shown previously that tumor cell death posttreatment can be detected in vivo by imaging the metabolism of hyperpolarized [1,4-13C2]fumarate using 13C magnetic resonance spectroscopic imaging (MRSI; refs. 15–17). Fumarate, which is hydrated in the reaction catalyzed by fumarase to produce malate, is taken up slowly by viable cells. When a cell becomes necrotic the injected hyperpolarized [1,4-13C2]fumarate rapidly gains access to the enzyme via the permeabilized plasma membrane, either intracellularly or extracellularly, and there is an increase in the rate of labeled malate production. Fumarase requires no coenzyme, which could be depleted by cell necrosis, needing only water and fumarate to produce malate. 13C MRSI of hyperpolarized [1,4-13C2]fumarate metabolism has also been used to detect cell death in models of myocardial infarction (18) and acute kidney necrosis (19). A limitation of imaging with hyperpolarized 13C-labelled substrates is the short polarization lifetime (2–3 minutes in vivo), which in the case of hyperpolarized [1,4-13C2]fumarate limits the build-up of detectable malate. We have shown recently that by using deuterated [2,3-2H2]fumarate and monitoring its conversion to [2,3-2H2]malate over a much longer time period using 2H MRS and MRSI measurements that we can detect a much larger increase in the [2,3-2H2]malate/[2,3-2H2]fumarate signal ratio in necrotic cells (20). This makes it a potentially more sensitive method for detecting cell death than imaging with hyperpolarized [1,4-13C2]fumarate. We show here that 2H MRSI measurement of [2,3-2H2]fumarate metabolism is a more sensitive method for detecting tumor cell death in patient-derived orthotopically implanted xenograft (PDX) models of glioblastoma following chemoradiation than 13C MRSI measurements with hyperpolarized [1,4-13C2]fumarate or contrast agent enhanced or diffusion-weighted 1H MRI measurements.
Materials and Methods
Cell culture
Patient-derived cell lines, A11 (passage 24), S2 (passage 11), were obtained from Prof. Colin Watts. Cells were grown as monolayer cultures on extracellular matrix–coated flasks in phenol red–free Neurobasal A medium (Gibco, UK) containing 2 mmol/L l-glutamine (Sigma, UK), 1% streptomycin/penicillin (Invitrogen, UK) 20 ng/mL hEGF (Sigma, UK), 20 ng/mL hFGF (R&D Systems, UK), 2% B27 (Invitrogen, UK), and 1% N2 (Invitrogen, UK). When confluent the cells were washed with Hank's Balanced Salt Solution (Gibco, UK) and dissociated using Accutase (Sigma, UK). The human glioblastoma cell line, U87 (passage 51; ATCC, catalog no. HTB-14, RRID:CVCL_0022), was cultured in DMEM supplemented with 10% FBS (Gibco, UK). When confluent, cells were washed with PBS and harvested using 0.25% trypsin (Gibco, UK). A11, S2, and U87 cells were implanted after two passages from thawing. Viability and cell number were assessed using a Vi-Cell counter (Vi-Cell XR, Beckman Coulter, RRID:SCR_019664). Cells tested negative for Mycoplasma, based on the Phoenix qPCR Mycoplasma kit and were STR genotyped on February 25, 2022, using the PowerPlex_16HSM_Cell Line panel and analyzed in-house using Applied Biosystems GeneMapper 5 software. It yielded a 100% match to cells in the Cellosaurus STRdatabase (U87) or to the in-house reference profile when it was established (S2, A11).
Orthotopic tumor implantation
Procedures were performed in compliance with project and personal licenses issued under the United Kingdom Animals Scientific Procedures Act, 1986 and were approved by an Animal Welfare and Ethical Review Body. Twelve-week-old (20 g) female BALB/c nude mice (Charles River Laboratories, RRID:SCR_003792) were anaesthetized by inhalation of 1% to 2% isoflurane in air/O2 (75%/25%, 2 L/min). Analgesia [0.3 mg/mL buprenorphine hydrochloride and 0.135% w/v chlorocresol diluted 1:10 in 0.9% sodium chloride and 1 mL/kg of subcutaneous Rimadyl LA (Pfizer) containing carpofen (Zoetis; 5 mg/kg diluted in 1:10 in 0.9% sodium chloride] was administered subcutaneously. Animals were placed in a stereotactic surgical frame (Kopf) and the head fixed using ear and bite bars. A 1-mm burr hole was drilled 2-mm anterior and 3-mm lateral to the bregma and a syringe containing 5 μL of 0.5 × 106 cells/μL inserted 3.5 mm intracranially. Upon withdrawal by 0.5 mm, the contents of the syringe were injected into the right frontal lobe at 2 μL/min. The burr hole was filled with bone wax and sutures used to close the wound, which was covered using tissue glue (GLUture). Metacam (10 mg/kg) was provided 48 hours and 72 hours postsurgery as analgesia. Animals were assigned randomly to experimental groups. Three animals developed hydrocephalus ∼3 weeks after intracranial implantation and were excluded from the study.
Image-guided cranial irradiation
Mice were anaesthetized with isoflurane and placed on an irradiator bed (SARRP, XStrahl Inc.). Treatment planning and radiation delivery were performed using MuriPlan software (XStrahl Inc.). CT images were acquired at 60 kV and 0.8 mA, with a voxel size of 0.275 mm, which delivers a dose of 1.2 cGy (21). Tissue segmentation was adjusted for each animal to define bone, tissue, and air. Field isocenters were applied to the segmented images to target radiotherapy delivery, and a collimator was used to customize the radiotherapy field. The SARRP delivers 225-kVp X-rays at 13-mA current (22), through a 0.15-mm Cu filter, at a dose rate of 3.1 Gy/min, and allows exact anatomic targeting with delivery of beams down to 0.5 mm. Mice received a 90° brain arc field (–45° to 45°), with a field size of 5×5 mm2. Animals were treated with 5 Gy per day for 4 days. Temozolomide (100 mg/kg) was administered by oral gavage 1 hour prior to irradiation. Treatment planning and delivery simulates the clinical situation (23). Mice were euthanized by cervical dislocation when they developed symptoms.
2H MR spectroscopy measurements on media samples
A11, S2, and U87 cells, growing in culture medium, were treated with 50 μmol/L temozolomide 1 hour prior to each radiotherapy session (5 Gy per day, 15 Gy total, delivered over 110 seconds using a Cs-137 irradiator (IBL 637; CIS Bio International).
At 24 hour following the last treatment, the cells were washed in PBS, resuspended at 1×106 cells/mL in 10 mL culture medium, and 5 mmol/L [2,3-2H2]fumarate was added. One milliliter samples were taken at the specified time points, centrifuged at 1,000 g, and the supernatants transferred to 5-mm tubes. A separate flask was used for each time point. Formate-d (5 mmol/L) was added to the samples as a reference and 2H nuclear magnetic resonance (NMR) spectra were acquired at 310 K using the 2H coil of a 5-mm 1H/broadband inverse detection probe in a 14.1 T NMR spectrometer (Bruker Spectrospin Ltd.) with a 90° pulse, a repetition time (TR) of 3 seconds with a 2,000 Hz spectral width into 1,024 data points and were the sum of 1,024 transients. Spectra were phased, baseline corrected, and peak integrals calculated using Topspin (Bruker Spectrospin Ltd., RRID:SCR_014227). The amplitudes of the water, fumarate, and malate resonances were normalized to the formate-d peak, after correction for formate-d resonance saturation. Absolute concentrations were obtained by correcting for the numbers of deuterons per molecule. The rate of deuterated malate production and the rates of water labeling were determined by linear least squares fitting of the concentrations using a MATLAB script (MATLAB, RRID:SCR_001622).
2H MR spectroscopy and spectroscopic imaging in vivo
Tumors obtained by orthotopic implantation of A11, S2, and U87 cells were treated when they were >60 mm3 (at ∼3.5 weeks for U87, ∼3.5 months for A11, and ∼7 months for S2 tumors). Animals were anesthetized by inhalation of 2% isoflurane in air/O2 (75%/25%, 2 L/min). Breathing rate and body temperature were monitored and body temperature maintained with a stream of warm air. 2H imaging and spectroscopy were performed at 7 T (Agilent, Palo Alto, CA); 2H resonance frequency 46.007MHz. Tumors were localized in axial 1H images acquired using a T2-weighted a fast spin echo (FSE) pulse sequence at 7 and 9.4 T (7T: TR, 2 s; TE, 50 ms; field-of-view (FOV), 32×32 mm2, 256×256 matrix; slice thickness, 1 mm; 10 slices. 9.4 T: TR, 2.2 s; TE, 50 ms; FOV, 35×35 mm2; 256×256 matrix; slice thickness, 1 mm; 10 slices). Disodium [2,3-2H2]fumarate was dissolved in water at a concentration of 312.5 mmol/L and ∼0.2 mL infused via a tail vein catheter. Infusion started 5 minutes after the start of spectral or image acquisition to give 1 g/kg body weight [2,3-2H2] disodium fumarate infused over a period of 20 minutes. Serial 2H spectra were acquired with a 2-ms BIR4 pulse (24), with a nominal flip angle of 67°, and a TR of 140 ms (20). Spectra were zero- and first-order phase corrected, and the peaks fitted with the AMARES toolbox (25, 26). Localization of signal to the tumors was achieved by the excitation profile of the surface coil and confirmed by imaging. 3D chemical shift images (CSI) were acquired with a 2-ms BIR4 pulse, with a nominal flip angle of 50°, with phase-encoding gradients encoding a 9×9×3 k-space matrix with a FOV of 27×27×27 mm3. Data were acquired into 256 complex points with a sweep width of 4 kHz and a TR of 140 ms (27).
Hyperpolarization of [1,4-13C2, 2,3-2H2]fumarate
A 40-mg sample of [1,4-13C2, 2,3-2H2] fumaric acid (3.4 mmol/L, Cambridge Isotope Laboratories) dissolved in 8.74 mmol/L of DMSO containing 12 mmol/L of a trityl radical [(Tris(8-carboxy-2,2,6,6(tetra(methoxyethyl) benzo- [1,2–4,5′]bis-(1,3)dithiole-4-yl)methyl sodium salt; AH111501; GE Healthcare] and 0.8 mmol/L of an aqueous solution of a gadolinium chelate (Dotarem, Guerbet) was hyperpolarized in a 3.35-T Hypersense polarizer (Oxford Instruments). The frozen sample was dissolved in 6-mL phosphate buffer containing 40-mmol/L phosphate, 50-mmol/L NaCl, 40-mmol/L NaOH, 100-mg/L EDTA, heated to 180°C and pressurized to 10 bar to yield a final fumarate concentration of 20 mmol/L. The polarization ranged from 7% to 10%. Deuterated 13C-labelled fumarate was used with the anticipation that this might extend the polarization lifetime. However, the 13C T1 in PBS at 7T was 23.2 ± 2.5 s (n = 3; Supplementary Fig. S1) and therefore showed no evidence that this would significantly extend polarization lifetime at this magnetic field. Deuterium isotope effects in the reaction catalyzed by fumarase are small (28).
13C MR spectroscopy and spectroscopic imaging in vivo
Animals were anaesthetized as described above, a catheter inserted into the tail vein and the animal placed in a 7.0 T horizontal bore magnet (Agilent) with an actively decoupled dual-tuned 13C/1H volume transmit coil (Rapid Biomedical) and a 20-mm diameter 13C receive coil (Rapid Biomedical). Axial 1H images were acquired using a FSE acquisition sequence (30° pulse; TR, 2,000 ms; TE, 12 ms; FOV, 32 × 32 mm2, 256 × 256 matrix with 12 averages; slice thickness, 1 mm; 8 slices). The tumor slice was selected from these images and a slice selective excitation pulse and acquire sequence was used for 13C spectroscopy. After injection of 0.2 mL hyperpolarized 20 mmol/L [1,4-13C2, 2,3-2H2]fumarate, 60 13C spectra were acquired from an 8-mm thick tumor slice at 3-second intervals with a flip angle of 25°.
MR spectroscopy of tissue extracts
A11 and S2 tumor-bearing animals were injected with 1 g/kg [2,3-2H2]fumarate (n = 6 for each model, 3 treated and 3 untreated) under isoflurane anesthesia and after 20 minutes the animals were killed by cervical dislocation, the brains removed and cut in half transversely. The frontal lobe containing the tumor and the other half of the brain were freeze-clamped in liquid nitrogen-cooled tongs. Frozen samples were homogenized in ice-cold 2-mol/L PCA using a Precellys Cryolys Evolution tissue homogenizer (Bertin Instruments) and neutralized with 2-mol/L KOH. After centrifugation for 15 minutes at 13,000 g, 200 μL of the supernatant was mixed with 300 μL of H2O and a formate-d standard added to a final concentration of 4 mmol/L. 2H NMR spectra were acquired using the same acquisition parameters as used for the media samples. Concentrations were calculated by comparison of the signal intensities with that of the formate-d standard. Following the 2H NMR measurements, a standard for proton NMR measurements, 3-(trimethylsilyl)-2,2,3,3-tetradeuteropropionic acid, was added at a final concentration of 1 mmol/L, together with 50 μL of 2H2O, and 1H spectra were acquired using a 5-mm 1H/broadband inverse detection probe in a 14.1 T NMR spectrometer (Bruker Spectrospin Ltd.) with water pre-saturation and a flip angle of 90° into 16,384 data points, with a spectral width of 7,788 Hz and a repetition time of 8 seconds. Spectra were phased and baseline corrected, and peak integrals calculated using Topspin 4.0.6 (TopSpin, RRID:SCR_014227, Bruker).
Dynamic contrast-enhanced MRI
A separate cohort of A11, S2, and U87 tumor-bearing animals (3 per group) underwent dynamic contrast-enhanced (DCE)-MRI before and 48 hours after the last radio-chemotherapy treatment. Images were acquired at 9.4 T using a Bruker console, an Agilent magnet and a 40-mm diameter 1H volume coil (Agilent). Tumors were localized in axial (FOV, 35×35 mm2) and sagittal (FOV, 60×60 mm2) 1H images acquired with a FSE pulse sequence (TR, 1,000 ms; TE, 25 ms; 256×256 matrix; slice thickness, 1 mm; 10 slices). Baseline and dynamic axial T1 images, acquired following tail vein injection of Dotarem, at 200 μmol/kg (Gadoteric acid, Guerbet), were acquired as described previously (20). Signals from the image series were converted, on a pixel-by-pixel basis, to a contrast-agent concentration by assuming an R1 relaxivity of the contrast agent of 2.7 s–1(mmol/L)–1 (29).
Diffusion-weighted magnetic resonance imaging
Diffusion-weighted 1H images were acquired at 9.4 T using a spin echo pulse sequence with echo planar readout (FOV, 40×40 mm2; 64×64 matrix; TR, 2 s; TE, 44.86 ms). Tumors were localized in axial and coronal 1H images acquired with a FSE pulse sequence (TR, 1,000 ms; TE, 25 ms; FOV, 40×40 mm2; 256×256 matrix; slice thickness, 1 mm; 10 slices). Diffusion-sensitizing gradients equivalent to b-values of 16.17, 56.06, 106.06, 206.06, 406.06, and 806.06 s/mm2 were applied along the slice axis. The apparent diffusion coefficient (ADC) was measured pretreatment and at 2 and 7 days posttreatment in a 1-mm thick slice covering the tumor.
Histology and IHC
Brains were immediately transferred to 10% formalin for 24 hours, then 70% ethanol before embedding in paraffin and sectioning (10-μm thick sections). The tissue was cut in the middle of the frontal lobe transversely and stained with hematoxylin and eosin (ST020 Multistainer—Leica Microsystems, RRID:SCR_008960). TUNEL staining was performed using a DeadEnd Colorimetric System Kit (Promega Benelux BV) and cleaved caspase-3 (CC3) staining using Leica's Polymer Refine Kit (Leica Microsystems, catalog no. DS9800, RRID:AB_2891238) on an automated Bond platform (Leica Biosystems Ltd). The antibody was used at a 1:400 dilution (Cell Signaling Technology). Slides were scanned at 20x magnification with a resolution of 0.5 μm per pixel on an Aperio AT2 (Leica Biosystems, RRID:SCR_021256). Images were analyzed using a CytoNuclear v1.6 algorithm on HALO v3.0.311.293 (RRID:SCR_018350, Indica Labs) to quantify percentage of positive cells.
Statistical analysis
Statistical and graphical analyses were performed using Prism v9 (RRID:SCR_002798, GraphPad). Data are shown as mean ± SD, unless stated otherwise. Analysis of variance was used for multiple comparisons of groups to determine significance. A paired or unpaired Student t test was used for single-parameter comparisons. Power calculations were used to define the number of animals required to detect the effect of interest with a probability of 0.9 assuming a familywise error rate of 5%, using the programme G*Power (30). Analysis of recent experiments (31) showed that a group size of 6 to 8 animals would be sufficient to reach this objective, however effect sizes observed here were much larger and we were able to stop at 3 animals per group.
Data availability
The data generated in this study will be made publicly available in a University of Cambridge Data Repository (https://doi.org/10.17863/CAM.87021).
Results
Deuterated fumarate metabolism detects cell death in glioblastoma cells in vitro
Human glioblastoma (U87) and patient-derived cells (A11, S2) were treated with 50-μmol/L temozolomide and 15 Gy radiation and the concentrations of deuterium labelled water, fumarate and malate were measured following the addition of 5-mmol/L [2,3-2H2]fumarate using 2H NMR measurements on samples of culture medium (Fig. 1A and B). Representative spectra from A11 and U87 cells are shown in Supplementary Fig. S2. There was an increase in the rate of labeled malate production following treatment in all three cell lines. The increase was largest in S2 cells (Fig. 1C–E), consistent with the higher levels of cell death posttreatment, with an increase from 1.84 ± 0.23 fmol/min/cell to 6.76 ± 0.7 fmol/min/cell (P = 0.0028; Fig. 1E). The rates were lower in treated A11 (Fig. 1F–H) and U87 cells (Fig. 1I–K), with malate production rates of 3.01 ± 0.79 and 5.13 ± 1.03 fmol/min/cell, respectively compared with rates in untreated controls of 0.71 ± 0.36 and 1.46 ± 0.74 fmol/min/cell (Fig. 1F and I) The rates of water labelling were not significantly affected by the induction of cell death, as observed previously (20). Cell viability was unchanged in the controls (Fig. 1L) but decreased in the treated group (Fig. 1M).
Deuterated fumarate metabolism detects cell death in glioblastoma tumor models in vivo
Deuterium-labeled fumarate, malate and water concentrations were monitored following intravenous injection of 1 g/kg [2,3-2H2]-disodium fumarate, using localized 2H spectroscopy (Fig. 2) and imaging (Fig. 3). The tumor fumarate concentrations were similar in all three tumor models before (Fig. 2A, B, F, G, K, and L) and at 48 hours after completion of chemoradiotherapy (Table 1; Fig. 2C, D, H, I, M, and N). However, all showed a significant increase in labeled malate concentration following treatment, which in the A11 and S2 tumors was confirmed by measurements in tumor extracts (Table 1; Supplementary Fig. S3). In extracts of untreated tumors the concentration of [2,3-2H2]malate, determined by 2H NMR, was only 29% (A11) and 30% (S2) of the unlabeled concentration, determined by 1H NMR, whereas in treated tumors the total malate concentration increased by ∼3.2 and ∼4.4x, of which, ∼36% (A11) and 44% (S2) were deuterium labeled (Table 1). The malate/fumarate signal ratios measured 48 hours after the last treatment increased significantly in all tumor models, with S2 showing the largest increase (Fig. 2E, J, and O). A fast, dynamic 3D CSI sequence showed no detectable malate signal pretreatment (Fig. 3C, I, and O) whereas increased malate concentrations were observed 48 hours after the last treatment in all tumor models (Fig. 3F, L, and R), with the highest concentration in S2 tumors (Fig. 3L). The tumor malate signal-to-noise ratios posttreatment were 2.05 ± 0.27, 5.64 ± 2.54, and 5.38 ± 2.62 in A11, S2, and U87, respectively and 1.29 ± 0.11, 4.01 ± 2.98, and 3.67 ± 1.12 in the corresponding CSI (data are expressed as mean ± SD, n = 3 for the spectroscopy data and n = 2 for the images). Representative spectra from the 3D CSI dataset are shown in Supplementary Fig. S4. The higher rates of malate production in S2 cells in vitro and S2 tumors in vivo when compared with the other cell lines cannot be explained by higher levels of fumarase activity in these cells, which was similar in all three lines, both in cells in culture and tumors in vivo (Supplementary Fig. S5). Treatment slowed the growth of all three tumors, which was significant for S2 and U87 tumors (Supplementary Fig. S6; Supplementary Table S1). The greater inhibition of S2 tumor growth was correlated with increased survival (Supplementary Fig. S7), although animals with the other tumors also showed evidence of increased survival. Increases in the [2,3-2H2]malate/[2,3-2H2]fumarate signal ratios were correlated with the levels of tumor cell death, as determined from histologic measurements of CC3 and DNA damage (TUNEL) in tumor sections (Fig. 4). Although, there were no decreases in tumor size following treatment there were significant increases in CC3 and TUNEL staining. CC3 staining increased from 2.84 ± 1.29 to 11.66 ± 3.71 in A11 tumors (P = 0.002, n = 4; Fig. 4G), from 9.10 ± 2.60 to 19.67 ± 3.91 in U87 tumors (P = 0.004, n = 4; Fig. 4W) and showed the greatest increase in S2 tumors, from 3.52 ± 2.27 to 22.78 ± 2.78 (P = 0.0008, n = 4; Fig. 4N). There were parallel increases in TUNEL staining, which increased from 2.38 ± 1.44 to 10.91 ± 3.85, from 4.15 ± 1.33 to 25.17 ± 3.82 and from 3.70 ± 1.86 to 19.35 ± 4.05 in A11 (P = 0.0035, n = 4; Fig. 4H), S2 (P = 0.0009, n = 4; Fig. 4O), and U87 (P = 0.0004, n = 4; Fig. 4X) tumors, respectively.
Table 1.
Untreated | Treated | |||
---|---|---|---|---|
Concentrations of deuterated species (μmol/g) | ||||
[2,3-2H2]fumarate | [2,3-2H2]malate | [2,3-2H2]fumarate | [2,3-2H2]malate | |
A11 Tumor | 5.06 ± 1.12 | 0.09 ± 0.23 | 4.79 ± 1.75 | 0.45 ± 0.41 |
CTL | 0.83 ± 0.35 | 0.11 ± 0.07 | 1.04 ± 0.53 | 0.19 ± 0.12 |
S2 Tumor | 5.16 ± 1.56 | 0.12 ± 0.09 | 5.47 ± 2.02 | 1.02 ± 0.33 |
CTL | 0.62 ± 0.23 | n.d. | 1.41 ± 0.31 | 0.27 ± 0.11 |
Concentrations of protonated species (μmol/g) | ||||
---|---|---|---|---|
Fumarate | Malate | Fumarate | Malate | |
A11 Tumor | 1.81 ± 0.82 | 0.31 ± 0.16 | 1.76 ± 1.72 | 0.81 ± 0.17 |
CTL | 0.52 ± 0.31 | 0.16 ± 0.06 | 0.62 ± 0.14 | 0.19 ± 0.06 |
S2 Tumor | 1.63 ± 0.25 | 0.40 ± 0.17 | 1.87 ± 1.13 | 1.29 ± 0.24 |
CTL | 0.45 ± 11 | 0.36 ± 0.09 | 0.77 ± 0.26 | 0.25 ± 0.21 |
The concentrations of the protonated species were measured using 1H NMR. The protonated malate concentration was corrected for background signal at ∼2.4 ppm, which was determined by acquiring spectra from mice that had not been injected with [2,3-2H2]fumarate prior to tissue collection. For [2,3-2H2]malate this was based on the upfield 2H resonance at 2.4 ppm, the downfield resonance was not resolved from the water resonance. The tissues were extracted at 20 min after intravenous injection of [2,3-2H2]fumarate. Data are expressed as mean ± SD (n = 3).
Abbreviation: CTL, contralateral hemisphere; n.d., not detected.
Detection of treatment response using hyperpolarized [1,4-13C2, 2,3-2H2]fumarate
The hyperpolarized [1,4-13C2, 2,3-2H2]malate/[1,4-13C2, 2,3-2H2]fumarate signal ratio (the ratio of the areas under the malate and fumarate labelling curves) increased in all three tumor models following treatment (Fig. 5). However, none of these increases reached statistical significance; with increases of 33.3 ± 1.8% (P = 0.125, n = 4) in A11 (Fig. 5B), 62.9 ± 14.6% in S2 (P = 0.133, n = 4; Fig. 5D) and 51.1 ± 16.2% in U87 (P = 0.08, n = 3) tumors (Fig. 5F). The malate signal-to-noise ratio (SNR) in the posttreatment spectra was 3.26 ± 2.54, 4.12 ± 2.192, and 4.44 ± 2.07 in A11, S2, and U87 tumors, respectively. These experiments were performed following the 2H measurements, when at least in U87 tumors the [1,4-13C2, 2,3-2H2]fumarate had cleared by 65 minutes (Fig. 2). The animals used in the 2H, 13C, dynamic contrast agent-enhanced and diffusion-weighted imaging experiments are summarized in Supplementary Table S2. 13C CSI are shown in Supplementary Fig. S8.
Dynamic contrast agent–enhanced MRI measurements
Changes in tumor contrast agent uptake were assessed in separate cohorts of A11 (n = 3), S2 (n = 3), and U87 (n = 3) tumor-bearing mice (Fig. 6). The area under the tumor contrast agent uptake curve increased significantly in S2 tumors at 48 hours posttreatment (Fig. 6D–F) but not in A11 (Fig. 6A–C) or U87 tumors (Fig. 6G–I), although all three tumors showed higher tumor contrast agent concentrations posttreatment with significantly higher concentrations in the first 10 minutes post contrast agent injection (Fig. 6B, E, and H).
Diffusion-weighted MRI measurements
The mean ADC of tumor water, measured using diffusion-weighted MRI (DW-MRI; Fig. 7), was unchanged at 48 hours after the last chemoradiotherapy treatment in all tumor models (Fig. 7C, G, and K) and the ADC maps remained largely homogeneous (Fig. 7D, H, and L). At 7 days after treatment, however, the S2 and U87 tumors showed a significant increase in the mean ADC (Fig. 7G and K).
Discussion
Routine MRI measurements of glioblastoma morphology are unable to distinguish reliably between true disease progression and pseudoprogression, which has prompted a search for MRI methods that are better able to discriminate between the two (32).
Tumor water ADC has been reported to be lower in true disease progression as compared with pseudoprogression, however meta-analyses have shown that while diagnostic performance was superior to that of conventional anatomic imaging it was poorer when compared with MRI measurements of perfusion (13). Dynamic susceptibility contrast (DSC) MRI measurement of relative cerebral blood volume (rCBV) is the most widely used perfusion technique, with numerous studies showing that rCBV is lower in areas of radionecrosis and pseudoprogression when compared with true disease progression. DCE MRI measurements of contrast agent leakage from the tumor vasculature, characterized by a transfer constant (Ktrans), which is a function of vessel permeability, vessel surface area and blood flow, can also distinguish true progression from pseudoprogression, where Ktrans is lower in regions of radionecrosis and pseudoprogression. However, with no widely established Ktrans thresholds and a dependence of the fitted parameter on the model used to analyze the data this is a less widely used technique than DSC MRI (33). Imaging of proton transfer between protein amide groups and water has shown promise in distinguishing true progression from pseudoprogression, with an almost two-fold higher rate in the case of true progression (34), although currently the technique has not been as widely evaluated as the other MRI methods. 1H MRS measurements of tumor metabolism can distinguish between true progression and pseudoprogression, with elevated choline concentrations indicating increased tumor cell density and progression and posttreatment necrotic tumors showing elevated lipid and lactate peaks and lower choline concentrations (32, 35–38). However, while meta-analysis has shown that 1H MRS is superior to anatomic MRI, DWI-MRI, and MRI-based perfusion measurements in distinguishing true progression from pseudoprogression (13) the low signal-to-noise ratio in spectroscopy means that scan times are long.
The problem of low sensitivity of MRS measurements of tumor metabolism has been addressed using nuclear spin hyperpolarization, which can result in a massive increase in sensitivity (39). We have shown previously that imaging the metabolism of hyperpolarized [1-13C]pyruvate can detect the response of the A11 PDX used here to chemoradiation by 72 hours after treatment, in an image that took less than 30 seconds to acquire (identified as GB4 in this previous paper; ref. 40). However, the decrease in lactate labeling from the injected pyruvate was relatively small (∼29%) and much less than the increase in the [2,3-2H2]malate/[2,3-2H2]fumarate signal ratio observed here at 48 hours after treatment despite a similar increase in cell death. The [2,3-2H2]malate/[2,3-2H2]fumarate ratio increased in A11 tumors by 340%, in the more radiosensitive S2 tumors by 755%, and in the U87 cell line model by 425%. The increased rate of malate production in S2 tumors cannot be explained by intrinsically higher levels of fumarase activity, which was similar in all three tumor models. The increased rates in A11 and S2 tumors also cannot be explained by increased fumarate delivery because the concentrations of fumarate in the tumors pre- and posttreatment were similar. Moreover, by using the [2,3-2H2]malate/[2,3-2H2]fumarate ratio as an indicator of cell death the effects of any possible changes in fumarate delivery are corrected for. We have shown previously, in three drug-treated tumor models, that the accumulation of malate in a tumor posttreatment cannot be explained by metabolism of fumarate elsewhere in the body and wash in of labeled malate (20).
The increases in the hyperpolarized [1,4-13C2, 2,3-2H2]malate/[1,4-13C2, 2,3-2H2]fumarate signal ratio following treatment, following injection of hyperpolarized [1,4-13C2, 2,3-2H2]fumarate, were much smaller and did not reach statistical significance. This is a reflection of the short half-life of the hyperpolarized 13C label, which means that labeled malate accumulation can only be measured over a few minutes whereas in the 2H experiments labeled malate accumulation was measured over a much longer period of up to 65 minutes. This is demonstrated by the cell experiments, where the 2,3-2H2]malate/[2,3-2H2]fumarate ratio was 0.03 to 0.04 pretreatment and posttreatment ranged from 0.07 to 0.14 at 3 minutes and from 0.3 to 0.5 at 60 minutes. The relative increases in these ratios are similar to those observed in the hyperpolarized 13C experiments in vivo at 3 minutes and in the 2H experiments in vivo at 60 minutes.
Detection of treatment response using [2,3-2H2]fumarate was also more sensitive than either of the more advanced imaging techniques used currently to distinguish between true disease progression and pseudoprogression. DW-MRI detected treatment response only in S2 and U87 tumors, which showed higher levels of cell death posttreatment than A11 tumors, and then only at 7 days posttreatment. We have shown previously that both 2H- (20) and 13C-labeled (17) fumarate are more sensitive than DW-MRI at detecting low levels of diffuse necrosis. Dynamic contrast agent enhanced images showed an increase in the area under the contrast agent uptake curves in all three tumor models at 48 hours posttreatment but this was only significant in the S2 tumors, which showed the highest levels of cell death posttreatment.
Early detection of glioblastoma cell death following chemo-radiation has the potential to distinguish true disease progression from pseudoprogression in the clinic. We have shown here that 2H MRI of labeled malate production from injected [2,3-2H2]fumarate can detect cell death in two orthotopically implanted PDX models and a cell line model of glioblastoma within 48 hours of treatment and that it is a more sensitive method of detecting cell death than two MRI methods that have been used in the clinic to distinguish between true progression and pseudoprogression. The clinical feasibility of the technique can be assessed from the measured fumarate and malate concentrations in the tumor, which is more appropriate than comparing SNR because the latter depends not only on magnetic field strength, but also on other factors, such as image resolution and coil performance. De Feyter and colleagues (41) detected 1.5 to 2 mmol/L 2H-labelled glucose and glutamate/glutamine in the human brain at 4 T. Here we measured deuterated fumarate and malate concentrations of up to 5 mmol/L. Therefore, even with a ∼40% decrease in SNR at 3T (42), these concentrations coupled with the chemical shift separation of the resonances (20), suggests that this method could be used clinically.
Supplementary Material
Acknowledgments
F. Hesse, A.J. Wright, V. Somai, F. Bulat, and F. Kreis were supported by grants from Cancer Research UK (C197/A29580, C197/A17242, C9685/A25177). F. Hesse also received a Cambridge European Scholarship from the Cambridge Trust. The authors acknowledge the support of the Cancer Research UK Cambridge Institute core facilities, in particular the biological resources unit, histopathology, and preclinical imaging sections. The authors would also like to thank Sabrina Terranova, Mike Mitchell, Toby Fewster, Jodi Miller, Sarah McGuire, and Madhu Basetti for their help.
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
Footnotes
Note: Supplementary data for this article are available at Cancer Research Online (http://cancerres.aacrjournals.org/).
Authors' Disclosures
F. Hesse reports receiving a Cambridge European Scholarship from the Cambridge Trust. F. Kreis reports personal fees from Bayer AG outside the submitted work. K.M. Brindle reports grants from Cancer Research UK during the conduct of the study. No disclosures were reported by the other authors.
Authors' Contributions
F. Hesse: Data curation, formal analysis, investigation, methodology, writing–original draft. A.J. Wright: Data curation, formal analysis, investigation, methodology, writing–review and editing. V. Somai: Formal analysis, investigation, methodology, writing–review and editing. F. Bulat: Methodology, writing–review and editing. F. Kreis: Methodology. K.M. Brindle: Conceptualization, supervision, funding acquisition, project administration, writing–review and editing.
References
- 1. Ostrom QT, Gittleman H, Fulop J, Liu M, Blanda R, Kromer C, et al. CBTRUS statistical report: primary brain and central nervous system tumors diagnosed in the United States in 2008–2012. Neuro Oncol 2015;17Suppl 4:iv1–iv62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Wen PY, Kesari S. Malignant gliomas in adults. N Engl J Med 2008;359:492–507. [DOI] [PubMed] [Google Scholar]
- 3. Huse JT, Holland EC. Targeting brain cancer: advances in the molecular pathology of malignant glioma and medulloblastoma. Nat Rev Cancer 2010;10:319–31. [DOI] [PubMed] [Google Scholar]
- 4. Stupp R, Mason WP, van den Bent MJ, Weller M, Fisher B, Taphoorn MJ, et al. Radiotherapy plus concomitant and adjuvant temozolomide for glioblastoma. N Engl J Med 2005;352:987–96. [DOI] [PubMed] [Google Scholar]
- 5. Brandsma D, van den Bent MJ. Pseudoprogression and pseudoresponse in the treatment of gliomas. Curr Opin Neurol 2009;22:633–8. [DOI] [PubMed] [Google Scholar]
- 6. Clarke JL, Chang S. Pseudoprogression and pseudoresponse: challenges in brain tumor imaging. Curr Neurol Neurosci Rep 2009;9:241–6. [DOI] [PubMed] [Google Scholar]
- 7. O'Brien BJ, Colen RR. Posttreatment imaging changes in primary brain tumors. Curr Oncol Rep 2014;16:397. [DOI] [PubMed] [Google Scholar]
- 8. Sorensen AG, Batchelor TT, Wen PY, Zhang W-T, Jain RK. Response criteria for glioma. Nat Clin Pract Oncol 2008;5:634–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Wen PY, Macdonald DR, Reardon DA, Cloughesy TF, Sorensen AG, Galanis E, et al. Updated response assessment criteria for high-grade gliomas: response assessment in neuro-oncology working group. J Clin Oncol 2010;28:1963–72. [DOI] [PubMed] [Google Scholar]
- 10. Ruben JD, Dally M, Bailey M, Smith R, McLean CA, Fedele P. Cerebral radiation necrosis: incidence, outcomes, and risk factors with emphasis on radiation parameters and chemotherapy. Int J Radiat Oncol Biol Phys 2006;65:499–508. [DOI] [PubMed] [Google Scholar]
- 11. Rahmathulla G, Marko NF, Weil RJ. Cerebral radiation necrosis: a review of the pathobiology, diagnosis, and management considerations. J Clin Neurosci 2013;20:485–502. [DOI] [PubMed] [Google Scholar]
- 12. Arevalo OD, Soto C, Rabiei P, Kamali A, Ballester LY, Esquenazi Y, et al. Assessment of glioblastoma response in the era of bevacizumab: longstanding and emergent challenges in the imaging evaluation of pseudoresponse. Front Neurol 2019;10:460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. van Dijken BRJ, van Laar PJ, Holtman GA, van der Hoorn A. Diagnostic accuracy of magnetic resonance imaging techniques for treatment response evaluation in patients with high-grade glioma, a systematic review and meta-analysis. Eur Radiol 2017;27:4129–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Neves AA, Brindle KM. Imaging cell death. J Nucl Med 2014;55:1–4. [DOI] [PubMed] [Google Scholar]
- 15. Gallagher FA, Kettunen MI, Hu D-E, Jensen PR, Z RIt, Karlsson M, et al. Production of hyperpolarized [1,4-13C2]malate from [1,4-13C2]fumarate is a marker of cell necrosis and treatment response in tumors. Proc Natl Acad Sci 2009;106:19801–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Witney TH, Kettunen MI, Hu DE, Gallagher FA, Bohndiek SE, Napolitano R, et al. Detecting treatment response in a model of human breast adenocarcinoma using hyperpolarised [1-13C]pyruvate and [1,4-13C2]fumarate. Br J Cancer 2010;103:1400–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Bohndiek SE, Kettunen MI, Hu DE, Witney TH, Kennedy BW, Gallagher FA, et al. Detection of tumor response to a vascular disrupting agent by hyperpolarized 13C magnetic resonance spectroscopy. Mol Cancer Ther 2010;9:3278–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Miller JJ, Lau AZ, Nielsen PM, McMullen-Klein G, Lewis AJ, Jespersen NR, et al. Hyperpolarized [1,4-13C2]Fumarate enables magnetic resonance-based imaging of myocardial necrosis. JACC Cardiovasc Imaging 2018;11:1594–606. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Clatworthy MR, Kettunen MI, Hu DE, Mathews RJ, Witney TH, Kennedy BW, et al. Magnetic resonance imaging with hyperpolarized [1,4-(13)C2]fumarate allows detection of early renal acute tubular necrosis. Proc Natl Acad Sci U S A 2012;109:13374–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Hesse F, Somai V, Kreis F, Bulat F, Wright AJ, Brindle KM. Monitoring tumor cell death in murine tumor models using deuterium magnetic resonance spectroscopy and spectroscopic imaging. Proc Nat Acad Sci U S A 2021;118:e2014631118. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Armour M, Ford E, Iordachita I, Wong J. CT guidance is needed to achieve reproducible positioning of the mouse head for repeat precision cranial irradiation. Radiat Res 2010;173:119–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Ngwa W, Tsiamas P, Zygmanski P, Makrigiorgos GM, Berbeco RI. A multipurpose quality assurance phantom for the small animal radiation research platform (SARRP). Phys Med Biol 2012;57:2575–86. [DOI] [PubMed] [Google Scholar]
- 23. Matinfar M, Gray O, Iordachita I, Kennedy C, Ford E, Wong J, et al. Small animal radiation research platform: imaging, mechanics, control, and calibration. Med Image Comput Comput Assist Interv 2007;10:926–34. [DOI] [PubMed] [Google Scholar]
- 24. Garwood M, DelaBarre L. The return of the frequency sweep: designing adiabatic pulses for contemporary NMR. J Magn Reson 2001;153:155–77. [DOI] [PubMed] [Google Scholar]
- 25. Vanhamme L, van den Boogaart A, Van Huffel S. Improved method for accurate and efficient quantification of MRS data with use of prior knowledge. J Magn Reson 1997;129:35–43. [DOI] [PubMed] [Google Scholar]
- 26. Purvis LAB, Clarke WT, Biasiolli L, Valkovič L, Robson MD, Rodgers CT. OXSA: an open-source magnetic resonance spectroscopy analysis toolbox in MATLAB. PLoS One 2017;12:e0185356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Kreis F, Wright AJ, Hesse F, Fala M, Hu DE, Brindle KM. Measuring tumor glycolytic flux in vivo by using fast deuterium MRI. Radiology 2020;294:289–96. [DOI] [PubMed] [Google Scholar]
- 28. Berman K, Dinovo EC, Boyer PD. Relationships of pH to exchange rates and deuterium isotope effects in the fumarase reaction. Bioorg Chem 1971;1:234–42. [Google Scholar]
- 29. Lee H, Mortensen K, Sanggaard S, Koch P, Brunner H, Quistorff B, et al. Quantitative Gd-DOTA uptake from cerebrospinal fluid into rat brain using 3D VFA-SPGR at 9.4 T. Magn Reson Med 2018;79:1568–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods 2007;39:175–91. [DOI] [PubMed] [Google Scholar]
- 31. Ros S, Wright AJ, D'Santos P, Hu D-E, Hesketh RL, Lubling Y, et al. Metabolic imaging detects resistance to PI3Kα inhibition mediated by persistent FOXM1 expression in ER+ breast cancer. Cancer Cell 2020;38:516–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Bonm AV, Ritterbusch R, Throckmorton P, Graber JJ. Clinical imaging for diagnostic challenges in the management of gliomas: a review. J Neuroimaging 2020;30:139–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Thust SC, van den Bent MJ, Smits M. Pseudoprogression of brain tumors. J Magn Reson Imaging 2018;48:571–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Ma B, Blakeley JO, Hong X, Zhang H, Jiang S, Blair L, et al. Applying amide proton transfer-weighted MRI to distinguish pseudoprogression from true progression in malignant gliomas. J Magn Reson Imaging 2016;44:456–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Rock JP, Hearshen D, Scarpace L, Croteau D, Gutierrez J, Fisher JL, et al. Correlations between magnetic resonance spectroscopy and image-guided histopathology, with special attention to radiation necrosis. Neurosurgery 2002;51:912–9; discussion 9–20. [DOI] [PubMed] [Google Scholar]
- 36. Rock JP, Scarpace L, Hearshen D, Gutierrez J, Fisher JL, Rosenblum M, et al. Associations among magnetic resonance spectroscopy, apparent diffusion coefficients, and image-guided histopathology with special attention to radiation necrosis. Neurosurgery 2004;54:1111–7; discussion 7–9. [DOI] [PubMed] [Google Scholar]
- 37. Kazda T, Bulik M, Pospisil P, Lakomy R, Smrcka M, Slampa P, et al. Advanced MRI increases the diagnostic accuracy of recurrent glioblastoma: single institution thresholds and validation of MR spectroscopy and diffusion-weighted MR imaging. Neuroimage Clin 2016;11:316–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Nichelli L, Casagranda S. Current emerging MRI tools for radionecrosis and pseudoprogression diagnosis. Curr Opin Oncol 2021;33:597–607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Ardenkjaer-Larsen JH, Fridlund B, Gram A, Hansson G, Hansson L, Lerche MH, et al. Increase in signal-to-noise ratio of >10,000 times in liquid-state NMR. Proc Nat Acad Sci U S A 2003;100:10158–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Mair R, Wright AJ, Ros S, Hu DE, Booth T, Kreis F, et al. Metabolic imaging detects low levels of glycolytic activity that vary with levels of c-myc expression in patient-derived xenograft models of glioblastoma. Cancer Res 2018;78:5408–18. [DOI] [PubMed] [Google Scholar]
- 41. De Feyter HM, Behar KL, Corbin ZA, Fulbright RK, Brown PB, McIntyre S, et al. Deuterium metabolic imaging (DMI) for MRI-based 3D mapping of metabolism in vivo. Sci Adv 2018;4:eaat7314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. de Graaf RA, Hendriks AD, Klomp DWJ, Kumaragamage C, Welting D, Arteaga de Castro CS, et al. On the magnetic field dependence of deuterium metabolic imaging. NMR Biomed 2020;33:e4235. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data generated in this study will be made publicly available in a University of Cambridge Data Repository (https://doi.org/10.17863/CAM.87021).