Abstract
Abnormal choline metabolism is a hallmark of cancer and is associated with oncogenesis and tumor progression. Increased choline is consistently observed in both pre-clinical tumor models and in human brain tumors by proton magnetic resonance spectroscopy (MRS). Thus, inhibition of choline metabolism using specific choline kinase inhibitors such as MN58b may be a promising new strategy for treatment of brain tumors. We demonstrate the efficacy of MN58b in suppressing phosphocholine production in three brain tumor cell lines. In vivo MRS studies of rats with intra-cranial F98-derived brain tumors showed a significant decrease in tumor total choline concentration after treatment with MN58b. High resolution MRS of tissue extracts confirmed that this decrease was due to a significant reduction in phosphocholine. Concomitantly, a significant increase in poly-unsaturated lipid resonances was also observed in treated tumors, indicating apoptotic cell death. Magnetic resonance imaging (MRI) based volume measurements demonstrated a significant growth arrest in the MN58b-treated tumors in comparison to saline-treated controls. Histologically, MN58b-treated tumors showed decreased cell density, as well as increased apoptotic cells. These results suggest that inhibition of choline kinase can be used as an adjuvant to chemotherapy in the treatment of brain tumors and that decreases in total choline observed by MRS can be used as an effective phamacodynamic biomarker of treatment response.
Keywords: Animal model, Brain tumor, Choline kinase, Glioblastoma, Magnetic resonance spectroscopy, MN58b, Total choline
INTRODUCTION
Glioblastoma (GBM), the most common primary brain tumor in adults, is an aggressive and locally invasive tumor. Despite advances in surgery, radiation, and chemotherapy, overall survival of patients affected by GBM has only marginally increased from 6-14 months post-diagnosis in recent decades (1). This may partly be due to a lack of effective therapeutic options and limited availability of robust and sensitive methods to assess therapeutic response. As survival with GBM is short, it is critical to determine the efficacy of therapy early on in treatment. An increased understanding of the molecular mechanisms underlying oncogenesis has led contemporary drug discovery programs to be aimed predominantly at signal transduction pathways and molecules that drive cancer initiation and progression (2). Elevated choline kinase (ChoK) activity has been associated with enhanced synthesis of phosphocholine (PC) in many cancer cell types and has been proposed as a potential target for anticancer therapy (3). ChoK catalyzes the phosphorylation of choline, consuming ATP in the presence of Mg2+, yielding PC in a process mostly independent of the rate of net phosphatidylcholine biosynthesis (4-6). Several agents such as growth factors, chemical carcinogens and ras oncogenic transfection induce ChoK activation in malignant cells, leading to an accumulation of PC (5).
A novel molecular therapeutic strategy focused on ChoK inhibition has recently been developed, resulting in the discovery of a group of compounds with inhibitory activity against ChoK (5, 7-9). The inhibition of ChoK using small molecule inhibitors such as MN58b (5, 8) appears to be a promising new treatment strategy against solid tumors. MN58b is an anticancer drug that exhibits selective inhibition of ChoK activity resulting in attenuated PC levels, reduced proliferation of cancer cells in vitro, and growth delay of human tumor xenografts (5, 8, 10-13).
There is a strong need to obtain precise surrogate biomarkers to effectively evaluate therapeutic response in GBM. 1H MRS provides a novel way of non-invasively measuring changes in choline-containing tumor metabolites to serve as a pharamcodynamic biomarker of ChoK inhibition and therapeutic response. Al-Saffar et al. (5) have reported the efficacy of MN58b on subcutaneously implanted colon and breast cancer models, however, we are unaware of any in vivo MRS studies of brain tumor response to ChoK inhibition. Thus, the goal of the present study was to monitor changes in choline-containing metabolites in an intracranial model of rat glioma in response to treatment with the ChoK inhibitor, MN58b.
MATERIALS AND METHODS
Cell lines and culture
To assess the toxicity and efficacy of MN58b on growth inhibition of gliomas, we chose three rat brain tumor cell lines F98, 9L and 9L over-expressing EGFRviii (14). The F98, 9L and 9L-EGFRviii glioma cell lines were maintained as adherent monolayers cultured in Dulbecco’s Modified Eagle’s Medium (DMEM, Sigma-Aldrich, St Louis, MO) supplemented with 10% fetal bovine serum (HyClone, Mississauga, Canada), 1% 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES) buffer (Invitrogen; Carlsbad, CA), 200 U/mL penicillin and 200 mg/mL streptomycin sulfate at 37°C in 5% CO2 in air. Cells were maintained in exponential growth phase by routine passage twice weekly at 3×105 cells per T75 flask. 9L and F98 cell cultures were tested upon receipt from the lab of Dr. J. Biaglow (Department of Radiation Oncology at the University of Pennsylvania) in 1999 using the Rat Antibody Production (RAP) Test performed by Charles River Laboratories (Wilmington, MA) and re-screened in 2005 using IMPACT III PCR profiling performed by RADIL (Columbia, MO). Cell lines were used within 6 months of reconstitution and tested bi-monthly for mycoplasma. The 9L-EGFRviii cell line was cloned from the 9L cells in the laboratory of Dr. Donald M O’Rourke, Department of Neurosurgery, University of Pennsylvania. We obtain 9L-EGFRviii cell lines from Dr. Donald M O’Rourke in 2010. No additional characterization has been performed on this cell line.
3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide; thiazolyl blue (MTT) Assay
The F98, 9L and 9L-EGFRviii rat glioma cell lines were plated in quadruplicate in 96-well plates at 7.5×104 cells/well and incubated overnight. Culture medium was replaced with media containing varying concentrations of MN58b. After 24 h, 20 μL of 5 mg/mL MTT (Sigma-Aldrich, St Louis, MO) in sterile PBS was added and the cells were incubated for 2 h. The media/MTT mixture was removed and replaced with 150 μL dimethyl sulfoxide (DMSO, Fisher Scientific, Fair Lawn, NJ), shaken, and the absorbance read at 550 nm using a Spectra Max M5 plate reader (Molecular Devices, Sunnyvale, CA). Background signal was read as absorbance at 690 nm and subtracted from each sample.
ChoK Activity Assay
For each cell line (F98, 9L and 9L-EGFRviii), 5×105 cells/well were seeded in a 6-well plate and incubated for 24 h at 37°C. The exponentially growing cells were pulsed for 1 h with 0.5 μCi/mL of [methyl-14C]-choline (Perkin Elmer, Shelton, CT) per well at 37°C followed by the addition of varying concentrations of MN58b, which was synthesized in house as previously described (13). After 2 h treatment, the medium was removed and cells were washed twice with ice-cold PBS and fixed in 16% ice-cold trichloroacetic acid (Fisher Scientific, Fair Lawn, NJ). ChoK inhibition was probed at 2 h because this time point has been found previously to be a time prior to significant loss in cell viability, thus providing a more accurate measurement of ChoK activity (13). Each sample was washed 3x in diethyl ether, lyophilized, and resuspended in water for thin layer chromatography (TLC) separation using a solvent system of NaCl/CH3OH/NH4OH; 50:70:0.5. The TLC plates were analyzed by autoradiography using a Fujifilm FLA-7000 (Tokyo, Japan) to detect radioactivity.
Perchloric acid (PCA) extracts of F98 tumor cells
F98 cells were seeded (1×105/mL, 150 cm2 flasks) and incubated overnight, media was aspirated and replaced with fresh media containing 0, 10, and 20 μM MN58b. After 24 h MN58b treatment, cells were trypsinized, washed and an aliquot was removed for viability counts. The remaining cells were pelleted and homogenized in 3 vol of 6% PCA, transferred into an Eppendorf tube and centrifuged (13,000 rpm, 30 min, 4°C), neutralized with 3 M potassium hydroxide (KOH, Sigma-Aldrich, St Louis, MO) and the neutralized samples were lyophilized for 24 h.
High resolution NMR spectroscopy of tumor cell PCA extracts
Lyophilized samples were resuspended in 500 μL of deuterium oxide (D2O, Sigma-Aldrich, St Louis, MO) including 0.5 mmol 3-(trimethylsilyl) 3,3,3,3-tetradeuteropropionic acid (TSP, Sigma-Aldrich, St Louis, MO), which was used as an internal concentration and chemical shift reference. The pD of the solution was adjusted to 7.0 using deuterium chloride (DCl, Sigma-Aldrich, St Louis, MO) or potassium deuteroxide (KOD, Sigma-Aldrich, St Louis, MO) solutions using a standard pH meter and calibrated to actual pH by adding 0.41 to the measured pH (15). High resolution NMR spectroscopy was performed at 30°C using an 11.7 T, 55-mm (inner diameter) vertical bore spectrophotometer (Bruker, Billerica, MA). The sample was first transferred to a clean, dry 5-mm thin-walled NMR tube (Wilmad-LabGlass, NJ). Fully relaxed, one-dimensional proton spectra were acquired using a pulse-acquire sequence with the following parameters: 90° pulse, TR=10.73 s, SW=6,000 Hz, NP=32 K and number of averages=64, with scan time=11 min 28 sec per sample. Acquired spectroscopic data were transferred offline for further post-processing and analysis.
Animal model and tumor cell implantation
An allogeneic rat animal model was chosen to better understand the complexities of this disease in an immune-competent rat model (16). Studies have pointed to F98 orthotropic GBM models as one of the most realistic and cost-effective simulations of the human disease due to its low immunogenicity, accurate histological representation of growth and infiltration, and refractory response to clinically-relevant therapies (17). All animal studies were approved by the Institutional Animal Care and Use Committee of the University of Pennsylvania. Six week old syngeneic female Fisher F344/NCr (120-150 gm weight) rats (n=13) were purchased from the National Cancer Institute and housed in a temperature controlled animal facility with a 12 h light-dark cycle. General anesthesia was induced by intraperitoneal injection of ketamine/xylazine (80/8.0 mg/kg). The animal was placed on a stereotactic frame. A small burr hole was made 3-mm lateral and 3-mm posterior to the bregma and 2-mm deep into the right cerebral hemisphere using a drill bit. F98 tumor cells (5×104) in a 10 μl suspension in PBS were inoculated over a 5-min period with a Hamilton syringe and a 30-gauge needle using a stereotactic apparatus. After injection of the cell suspension, the needle was withdrawn slowly and the wound was closed by suturing the skin. Animals were monitored periodically for 2 weeks after which baseline in vivo MRS experiments were performed.
In vivo MRI
Animal preparation for MRI scan
Animals were anesthetized with 3% isoflurane in oxygen and mounted on an animal holding cradle. The animal’s head was secured with a nose cone in an in-house developed restraining device to minimize motion-induced artifacts. Subdural EKG needle electrodes were placed in the forelimbs and a respiration pillow was placed on the dorsal side of the body. A thermister was inserted into the rectum to monitor body temperature. EKG electrodes, respiratory pillow and thermister were connected to a small animal monitoring device (SA Instruments, NY, USA) to record vital signs including the electrocardiogram, respiration and core body temperature during the scan. The cradle with the animal in position was then inserted inside a 35-mm inner diameter transmit-receive quadrature volume coil (M2M Imaging, Cleveland, OH, USA) and the coil was placed in the center of the magnet. During the scan, anesthesia was maintained using 1-1.5% isoflurane and the animal body temperature was regulated at 37±1°C by blowing warm air into the magnet bore via a hose connected to a thermostatically controlled warm air device (SA Instruments, NY, USA).
In vivo single voxel spectroscopy
Anatomical images and spectroscopy data were acquired from the brains of 6 normal and 13 intracranial tumor bearing rats for baseline measurements. The in vivo MRS study was repeated on tumor bearing animals after 5 days of MN58b (n=10) or saline (n=3) injection to evaluate treatment response. In vivo studies were performed on a 9.4 T horizontal bore magnet equipped with 40 G/cm gradients interfaced to an Agilent Direct-Drive console (Agilent, Palo Alto, CA, USA) operating vnmrj 2.3.C software. Multi-slice spin echo and T2-weighted anatomical images were acquired to localize the tumor and to plan the MRS voxel. A single voxel with dimensions of 3×3×3 mm3 was placed within the tumor and a spectrum was acquired using a PRESS sequence with the following parameters: TR=3000 ms, TE1=12.68 ms and TE2=10.01 ms, number of averages=128, complex points=4096 and spectral width=4000 Hz resulting in an acquisition time of 6 min 24 sec. Water suppression was performed using the variable power and optimized relaxation delays (VAPOR) technique (18). An unsuppressed water spectrum was also acquired (with 8 averages) to serve as a reference for calculation of metabolite concentrations.
Treatment of tumor bearing animals with MN58b
After acquiring baseline in vivo MRS, 10 tumor bearing animals were treated with MN58b at 2 mg/kg/day i.p. for 5-days. A separate cohort of tumor bearing animals (n=3) were treated with an i.p. injection of 1 mL saline daily for 5-days. In vivo MRS experiments were repeated as described above to evaluate the effect of MN58b treatment on tumor metabolism. Two animals died during the MN58b treatment resulting in post-MN58b data from only 8 animals. The death of these animals was most likely due to the tumor burden, as no overt indications of toxicity were noted as a result of MN58b: loss of weight, change in grooming or social habits, fur ruffling, or change in eye color.
The tumor bearing animals were anesthetized with an overdose of ketamine/xylazine after the completion of the final in vivo 1H MRS study. Following lack of deep tendon responses, the head was decapitated and the brain was removed from the skull. Tumor tissue and contralateral normal brain tissue were harvested from each animal under aseptic conditions in a laminar hood. A portion of the harvested tissue was immediately placed in a pre-weighed cryovial and flash frozen by dipping into liquid nitrogen. The frozen specimens were stored at −70 °C.
PCA extracts and high-resolution NMR studies on tumor tissue
PCA extractions and high-resolution NMR studies were performed on tissue samples from contralateral normal brain, saline and MN58b-treated tumor tissue on a 500 MHz vertical bore NMR scanner (Bruker, Billerica, MA) using the same experimental protocol as described for cell extracts.
Histopathology
A set of tissue samples was randomly selected from the saline and MN58b-treated group for histopathological study. These samples were fixed in 10% neutral buffered formalin for 24 h and were fixed and dehydrated in ethanol, cleared in xylene, and embedded in paraffin blocks, which were cooled before sectioning. Consecutive 3-micron thick serial sections were cut and stained with Hematoxylin and Eosin (H&E) or with an antibody against Caspase-3 using methods previously described (19). Saline and MN58b-treated tumor sections were examined for necrosis, hemorrhage and cell density using H&E, and apoptosis using Caspase-3 immunohistochemistry. H&E and Caspase-3 stained slides were scanned at 20 and 40 X magnifications using the Aperio Scan Scope OS (Aperio Technology, Vista, CA).
Data quantification
High-resolution NMR data from cells and tumor tissue extracts were analyzed using MestReNova (Mestrelab Research, Santiago de Compostela, Spain) to assess changes in PC and GPC levels due to MN58b treatment. Metabolite peaks were identified on the basis of their chemical shifts (20). The following choline-containing metabolites were identified from their N-trimethyl (+N(CH3)3) resonances: Cho 3.20 ppm (singlet); PC, 3.22 ppm (singlet); and GPC, 3.23 ppm (singlet) referenced to the internal standard TSP at 0.0 ppm after baseline correction. Metabolite concentrations were calculated from peak heights in 1H-MR spectra. The signal area in the proton spectrum is proportional to the concentration and the number of protons contributing to the signal. Because the spectra were fully relaxed and the line widths of all peaks were the same, absolute signal intensities can be determined from the peak heights by direct reference to TSP. The metabolite concentrations were calculated and corrected for the number of cells in the NMR experiment using the following formula: [(metabolite peak height /number of protons) /(TSP peak height /number of TSP protons)] × (TSP concentration /number of cells). The resonances at 3.2 ppm from the choline-containing metabolites are all composed of 9 protons, as is the 0.0 ppm resonance of TSP. The concentration of TSP was 1.93 μM and the number of cells for each experiment was in the range of 1.0-7.4×107 cells. For tissue extracts, we calculated the metabolite concentration per wet-weight of the tissue, which ranged from 27.9-140 mg.
In vivo single voxel 1H MRS data from normal brain, saline and MN58b-treated tumors were processed and analyzed using LC-model software (21). A least-squares algorithm (Gaussian-Lorentzian) was used to optimize the fit after individual iteration and the quality of the final fit was determined in terms of the Cramer-Rao lower bound (CRLB), a measure of the variance in the error. Only metabolites with less than 20% CRLB were considered and included in the final data analysis. A separate basis set was used to analyze the polyunsaturated lipid resonance at 2.8 ppm. Due to the complexity of overlapping lipid and lactate peak contributions at 1.3 ppm, LC model was not ideal for fitting the composite Lip+ Lac resonance. Thus, we used the MestReNova program as described above to quantify the 1.3 ppm Lip+Lac peak.
To assess the effect of MN58b on tumor growth, tumor volumes were measured using T2-weighted images acquired at baseline and after 5-days of MN58b treatment. In-house custom software developed in the IDL programming environment (ITT Visual Information Solutions, Boulder, CO, USA) was used to convert raw image data into an “analyze” file format. The analyze files were read into MRIcro (1.39 version, McCausland Center for Brain Imaging, Columbia, SC, USA) and the ROI tool used to draw whole tumor ROIs on multiple slices covering the tumor. The final volume was calculated as the sum of pixels from all the ROIs multiplied by the section thickness.
Image Scope viewing software and nuclear staining algorithm V.9 (version 9; Aperio Technologies, Inc.) were applied to quantify nuclear density from Hematoxylin and Caspase-3 positive nuclei from Caspase-3 immunohistochemistry. Algorithm parameters were set to achieve concordance with manual scoring on a number of high-power fields, including intensity thresholds for positivity and parameters that control cell segmentation using the nuclear algorithm (22). Regions of tissue necrosis and staining artifacts were manually excluded. The algorithms calculate the percentage of weak (1+), medium (2+), and strong (3+) positive cells. The strong (3+) positive staining numbers were used to assess differences between saline and MN58b-treated tumors.
Statistical analysis
Statistical analysis of the in vitro and in vivo 1H MRS data was conducted using a Student’s unpaired t-test to evaluate the differences in metabolite concentration in response to MN58b treatment. A p-value of ≤0.05 was considered to be statistically significant. All error bars shown in the figures represent mean±SEM values. All statistical analysis was conducted using SPSS 16.0 (SPSS, Inc., Chicago, IL, USA).
RESULTS
MN58b was screened for its ability to inhibit the viability of a panel of brain tumor cell lines using the MTT assay. MN58b treatment significantly reduced the viability of the F98, 9L and 9L-EGFRviii cells in a dose dependent manner, with GI50s of 19.80±2.80 μM, 8.60±3.00 μM and 46.85±2.30 μM, respectively (Fig. 1). The phosphorylation of 14C-labeled Cho (Rf =0.07) was measured using TLC and autoradiography. 14C-PC (Rf =0.14) production in the F98, 9L, and 9L-EGFRviii cells was quantified, plotted, and fitted to determine IC50s of 2.63±0.65 μM, 1.84±0.53 μM, and 1.85±0.33 μM, respectively (Fig. 2A and 2B). No statistical difference in ChoK inhibition was found between these groups. Since 14C-radiotracing demonstrated similar treatment response from all three cell lines, we chose F98 cells for in vivo studies because they most closely resemble human GBM (14, 15). The 9L is a gliosarcoma and does not exhibit the necrotic areas seen in GBM (16). 9L-EGFRviii is similar to a GBM but is not as well characterized compared to the F98 tumor model.
Cellular extracts prepared from F98 cells treated with 0, 10 or 20 μM MN58b were analyzed by NMR to determine changes in PC and GPC levels (Fig. 3A). Analysis of the choline-containing peaks showed lower PC levels in response to MN58b compared to saline-treated cells (Fig. 3B). We observed significantly reduced PC concentration in cells treated with both 10 μM MN58b (5.85±0.70 nmoles/107 cells) and 20 μM MN58b (6.84±3.51 nmoles/107 cells, p=0.049) compared to saline-treated cells (18.85±2.39 nmoles/107 cells, p=0.004). We also observed higher GPC concentration in cells after 10 μM MN58b treatment (6.64±2.42 nmoles/107 cells, p=0.911) and a further increase after 20 μM (11.95±7.50 nmoles/107 cells, p=0.532) MN58b compared to saline-treated cells (6.27±1.94 nmoles/107 cells) but this difference was not statistically significant (Fig. 3B). Inhibition of the anabolic pathway of choline metabolism has been reported to increase GPC at the expense of PC (23). The PC/GPC ratio was thus calculated for each treatment group, and both 10 μM (0.88±0.39, p=0.012), and 20 μM MN58b (0.57±0.08, p=0.007) cells demonstrated significantly lower PC/GPC ratio as compared to saline-treated cells (3.01±0.61) (Fig. 3C).
In vivo MR spectra (Fig. 4A) were obtained for each tumor before and after saline or MN58b treatment. MN58b led to a significant growth arrest of F98 tumors as treated tumors only grew by 77±11% in comparison to saline-treated tumors, which grew by 160±31% (p=0.015) during the 5-day treatment period (Fig. 4B). The tCho concentration (1.08±0.38 mM) after MN58b treatment was significantly lower than tCho from the brains of rats used as normal controls (1.68±0.23 mM, p=0.032), baseline values for the untreated tumor (1.95±0.75 mM, p=0.005) as well as saline-treated tumors (1.92±0.24 mM, p=0.010) (Fig. 4A and 4C). When the data from individual animals were compared before and after MN58b treatment, a 44% reduction in tCho level was observed in MN58b treated animals compared to baseline values.
We observed significantly increased Lip+Lac concentration in MN58b-treated tumors (8.79±4.04 arbitrary units (AU)) compared to normal control brain (0.87±0.67 AU, p=0.002) as well as baseline tumor values (7.58±3.29 AU, p=0.048) (Fig 4D). There was no significant difference in the Lip+Lac concentration between MN58b-treated tumors and saline-treated tumor (11.87±3.59 AU, p=0.341) (Fig 4D). However, we observed an increase in the polyunsaturated fatty acyl chain resonance at 2.8 ppm after MN58b treatment (1.37±0.46 AU, p=0.018), baseline (0.51±0.42 AU, p=0.007) and saline treated (0.52±0.02 AU, p=0.010) compared to control brain (0.03±0.06, AU), respectively (Fig. 4A and 4E).
Similar to the results observed from F98 cells treated with MN58b, the ex vivo high resolution NMR data from tissue extracts also demonstrated changes in PC and GPC values in MN58b-treated tumors (Fig. 5A). Significantly lower PC levels were observed in MN58b-treated tumors (0.33±0.06 nmoles/mg, p=0.019) compared to saline-treated tumors (0.59±0.06 nmoles/mg). The saline-treated tumor demonstrated significantly higher PC (p=0.030) than normal brain (0.30±0.09 nmoles/mg). Significantly higher GPC was also observed in MN58b-treated tumors (0.44±0.05 nmoles/mg, p=0.009) compared to normal brain (0.23±0.05 nmoles/mg). The GPC in saline-treated tumors (0.40±0.03 nmoles/mg, p=0.015) was significantly higher than contralateral normal brain. However, the GPC concentration between saline-treated and MN58b-treated tumor was not significantly different (p=0.593). When the PC/GPC ratios were computed, a significantly lower PC/GPC ratio was observed in MN58b-treated (0.76±0.09 p=0.05) than saline-treated tumors (1.49±0.25) (Fig. 5B). However, there was no significant difference in the PC/GPC ratio between MN58b-treated (p=0.124) and normal brain (1.41±0.35) (Fig. 5C).
Immunohistological staining and quantitation was performed on a sample of saline and MN58b-treated tumors. Quantitative analysis of Hematoxylin staining, demonstrated a 16% reduction in the total number of tumor cells in MN58b-treated (1.20 × 104 cells/mm2) compared to saline-treated tumor (1.42 × 104 cells/mm2, Fig. 6A-D). MN58b treatment was also associated with increased staining of Caspase-3 indicative of apoptosis (Fig. 6E-H). A 3.0 fold increase in Caspase-3 positive cells was observed in MN58b-treated (4.3% positive cells) compared to saline-treated tumor tissue (1.4% positive cells).
DISCUSSION
In this paper, the effect of the choline kinase inhibitor MN58b on choline metabolism was examined in a glioma model and a significant decrease in tCho was observed resulting from decreased levels of PC. Elevated ChoK activity in tumor cells and increased tCho levels in cells and untreated tumors suggest that increased tCho in tumors is primarily driven by elevated ChoK. The significant decrease in cellular ChoK activity after treatment with MN58b indicates that inhibition of ChoK may be an effective adjuvant in the treatment of gliomas. MRI and MRS studies of MN58b-treated orthotopic glioma tumors demonstrated significant tumor growth inhibition and reduction in tCho levels. These findings were corroborated with the histological finding of elevated apoptotic cells within MN58b-treated tumors, indicating the efficacy of MN58b as a potential therapeutic agent in the treatment of gliomas.
Over-expression and increased ChoK activity resulting in production of PC has been detected in several human tumor derived cancer cell lines and tissue biopsies including lung, colon and prostate (9-12, 24, 25). Decreased tumor tCho is usually associated with a positive response to conventional chemotherapy in cancer and suggests a role for choline compounds as potential biomarkers to assess treatment response (26). Recent studies have explored the possibility of altering the expression or activity of enzymes involved in choline metabolism as a novel therapeutic target for cancer treatment (11, 27). Inhibition of ChoK is regarded as an attractive cancer treatment strategy (28) and changes in tCho due to ChoK activity as detected by MRS can be used as a non-invasive pharmacodynamic marker of therapeutic response. MRS is an efficient technique for discrimination between brain lesions and for following treatment response (29, 30). It was not known, however, whether gliomas respond to ChoK inhibition therapy and whether MRS is capable of validating tCho as a surrogate marker of treatment response.
We studied three different glioma cell lines in vitro and observed their sensitivity to MN58b via MTT and ChoK assays. We observed the phosphorylation of 14C-labeled choline using a TLC-based ChoK assay and found inhibition of ChoK activity in a dose dependent manner. While MN58b inhibited 14C-PC production with similar potency in each of the three cell lines, the EGFRviii mutation imparted some resistance in terms of viability compared to wild-type 9L cells, which express very little EGFR. The observation of decreased ChoK activity and increased cellular toxicity in all three cell lines led us to explore ChoK inhibition in vivo in a rat model of brain cancer.
Higher choline levels may be suggestive of increased malignant potential (23), increased membrane turnover (31) or activation of oncogenic signaling (32). The tCho signal is commonly increased in malignant gliomas and is also associated with processes that either promote cellular proliferation or induce cell death that can be observed as changes in the tCho peak in MRS (29). In cell extracts using high resolution 1H NMR, we observed a decrease in PC and non-significant increase in GPC in response to MN58b treatment, showing the effectiveness of ChoK inhibition on choline metabolite levels. In vivo a significant MN58b-induced decrease in tCho was observed with 1H MRS indicating inhibition of ChoK (Fig. 4A and B). MN58b treatment caused significant reduction of the PC/GPC ratio in both cellular and tumor tissue extracts, which is consistent with previously reported results. The decrease in the PC/GPC ratio was found using NMR of ex vivo tumor extracts to be caused primarily by a net decrease in PC levels, as previously established (5, 7, 8).
The in vivo data followed the same general trend as observed with ex vivo extracts: MN58b caused a decrease in tCho in vivo compared to saline treatment that was paralleled by a decrease in PC and in PC/GPC ratio in extracts. Although tCho was not significantly different in normal brain vs baseline tumor spectra in vivo, both PC and GPC were elevated in the extract spectra of tumors relative to contralateral tissue. Interestingly the contralateral PC/GPC ratio was also not significantly different from saline-treated tumor extracts even though their absolute levels were much lower. This variability was higher in vivo possibly due to heterogeneity of the tumor sampled with single voxel MRS and the relatively broad spectral line width. In addition, gliomas are often histopathologically heterogeneous and have components of varying grades of malignancy and necrosis within the tumor. A decrease in tCho and lactate, as well as an increase in lipid, would be expected in necrotic tumor tissue.
1H MRS is highly sensitive to alterations in the unsaturated state of lipid acyl chains. Increased fatty acyl chain resonances in MR-visible lipids have been correlated with malignancy and necrosis in human brain tumors (33-35) and an increase in polyunsaturated fatty acids (PUFA) (36, 37), along with a decrease in lactate (38, 39), is typically observed in tumors after treatment. We observed an increase in the 1.3 ppm resonance in both untreated and treated tumors compared to baseline but increased PUFA resonance at 2.8 ppm was observed only in treated tumors. The increased PUFA resonance (Fig. 4A and C) suggests induction of apoptosis in the tumor after MN58b treatment, which was confirmed by caspase-3 staining of tumor tissue sections. The increased saturated fatty acyl chain peak at 1.3 ppm may reflect the onset of necrosis in both treated and untreated tumors. Increased MR-visible lipids have been reported in stressed cells prior to cell death and suggests that the presence of lipid may reflect cellular responses to environmental or drug-induced stress (37, 40-44).
Our in vivo MRS findings (decreased tCho and tumor growth arrest) are consistent with the histological results in that MN58b-treated tumors had a reduction in the number of viable cells (Fig. 6). This indicates that MN58b not only inhibits ChoK activity but also leads to cell death and growth arrest, as is confirmed by the MTT assay in vitro and tumor size measurements by in vivo MRI. Despite significant growth arrest we did not observe a significant reduction of tumor volume with MN58b treatment, which may in part be due to a sub-optimal dose schedule of MN58b or route of administration (i.p. versus i.v. or oral gavage) of the drug during treatment. Caspase-3 staining did confirm an increase in apoptosis after MN58b treatment which was consistently associated with increased PUFA resonances at 2.8 ppm (Fig. 4A and 6F, H). Similarly, a reduction in Hematoxylin stained cells was noted in MN58b-treated tumors indicating the efficacy of the drug (Fig. 6B, D). These findings suggest the potential role of MN58b as a complimentary therapeutic in the treatment of GBM patients.
Hypoxia is known to exist in brain tumors (45). Hypoxic tumor microenvironments pose a problem for radiation and chemotherapy; cancer cells located in hypoxic environments undergo adaptive responses, which render them resistant to radiation and chemotherapy, resulting in recurrence (46). Such resistance to treatment contributes to the incidence of cancer recurrence. Variations in the extent and degree of hypoxia/necrosis in combination with variable angiogenic patterns represent a considerable problem in radiotherapeutics and antiangiogenic management of GBM. Glunde et al. reported increased total choline and ChoK activity in a prostate cancer model and established a correlation between hypoxia, choline metabolites, and Chok activity. (46). These authors also suggested that hypoxia-inducible factor-1 (HIF-1) activation of hypoxia response elements within the putative ChoK promoter region can increase ChoK expression within hypoxic environments, consequently increasing cellular PC and tCho levels within these environments (46). It is known that GBMs are more heterogeneous and hypoxic compared to other types of brain tumors. Thus, it is plausible to hypothesize that inhibition of ChoK activity by a specific ChoK inhibitor may help in reducing the survival pathways which allow GBM tumors to thrive in hypoxic microenvironments, making them more sensitive for chemo and radiation therapy. However Bansal et al. have reported a decrease in choline phosphorylation in hypoxic prostate cancer cells which may result from other isoforms of hypoxia response elements (HRE) affecting ChoK activity in human brain tumors. There is intensifying urgency to find new drugs for the treatment of brain tumors (47). Development of anticancer agents is the key focus of several research studies on developing specific molecular targets against the malignant phenotype (5, 48, 49) with the ultimate goal of improving activity and therapeutic selectivity for tumor versus normal cells.
CONCLUSION
In conclusion, this study demonstrated that 1H MRS can be used to detect a decrease in tCho that is associated with the inhibition of ChoK activity by MN58b in gliomas. These effects were seen in both cultured cells and in tumor xenografts. Significant reduction in tCho, elevated PUFA and increased apoptotic marker Caspase-3 after MN58b treatment demonstrates the potential of ChoK inhibition in GBM treatment. Monitoring metabolic changes with MRS may provide a noninvasive pharmacodynamic marker for ChoK inhibition and treatment-response in brain tumors.
ACKNOWLEDGEMENTS
MR data in this publication was obtained in the Small Animal Imaging Facility (SAIF) of the University of Pennsylvania. We thank Daniel Martinez of the Pathology Core Laboratory at the Children’s Hospital of Philadelphia for performing histopathology of tumor tissue and assistance in histological quantification of the stained slides.
Financial support: Research reported in this publication was supported by the NIH R01-CA129176 (E.J. Delikatny), T32-GM8076 (S.P. Arlauckas), F31-CA180328 (S.P. Arlauckas) and DoD Breast Cancer Concept Award BC076631 (E.J. Delikatny).
List of Abbreviations
- ChoK
choline kinase
- CRLB
Cramer-Rao lower bound
- D2O
deuterium oxide
- DMEM
Dulbecco’s modified Eagle’s medium
- DMSO
dimethyl sulfoxide
- GBM
Glioblastoma
- GPC
glycerophosphocholine
- H&E
Hematoxylin and Eosin
- KOH
potassium hydroxide
- MRS
magnetic resonance spectroscopy
- MTT
3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide
- NMR
nuclear magnetic resonance
- PBS
phosphate buffer saline
- PC
phosphocholine
- PCA
perchloric acid
- tCho
total choline
- TLC
thin layer chromatography
- TSP
3-(trimethylsilyl) 3,3,3,3-tetradeuteropropionic acid
- SPSS
statistical package for the social sciences
- VAPOR
variable power and optimized relaxation delays
Footnotes
The authors declare no conflicts of interest.
REFERENCES
- 1.Candolfi M, Curtin JF, Nichols WS, Muhammad AG, King GD, Pluhar GE, et al. Intracranial glioblastoma models in preclinical neuro-oncology: neuropathological characterization and tumor progression. J Neurooncol. 2007;85:133–48. doi: 10.1007/s11060-007-9400-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Gibbs JB. Mechanism-based target identification and drug discovery in cancer research. Science. 2000;287:1969–73. doi: 10.1126/science.287.5460.1969. [DOI] [PubMed] [Google Scholar]
- 3.Glunde K, Bhujwalla ZM, Ronen SM. Choline metabolism in malignant transformation. Nat Rev Cancer. 2011;11:835–48. doi: 10.1038/nrc3162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Aoyama C, Liao H, Ishidate K. Structure and function of choline kinase isoforms in mammalian cells. Prog Lipid Res. 2004;43:266–81. doi: 10.1016/j.plipres.2003.12.001. [DOI] [PubMed] [Google Scholar]
- 5.Al-Saffar NM, Troy H, Ramirez de Molina A, Jackson LE, Madhu B, Griffiths JR, et al. Noninvasive magnetic resonance spectroscopic pharmacodynamic markers of the choline kinase inhibitor MN58b in human carcinoma models. Cancer Res. 2006;66:427–34. doi: 10.1158/0008-5472.CAN-05-1338. [DOI] [PubMed] [Google Scholar]
- 6.Kennedy EP. Metabolism of lipides. Annu Rev Biochem. 1957;26:119–48. doi: 10.1146/annurev.bi.26.070157.001003. [DOI] [PubMed] [Google Scholar]
- 7.Hernandez-Alcoceba R, Saniger L, Campos J, Nunez MC, Khaless F, Gallo MA, et al. Choline kinase inhibitors as a novel approach for antiproliferative drug design. Oncogene. 1997;15:2289–301. doi: 10.1038/sj.onc.1201414. [DOI] [PubMed] [Google Scholar]
- 8.Lacal JC. Choline kinase: a novel target for antitumor drugs. IDrugs. 2001;4:419–26. [PubMed] [Google Scholar]
- 9.Ramirez de Molina A, Rodriguez-Gonzalez A, Lacal JC. From Ras signalling to ChoK inhibitors: a further advance in anticancer drug design. Cancer Lett. 2004;206:137–48. doi: 10.1016/j.canlet.2003.08.031. [DOI] [PubMed] [Google Scholar]
- 10.Ramirez de Molina A, Banez-Coronel M, Gutierrez R, Rodriguez-Gonzalez A, Olmeda D, Megias D, et al. Choline kinase activation is a critical requirement for the proliferation of primary human mammary epithelial cells and breast tumor progression. Cancer Res. 2004;64:6732–9. doi: 10.1158/0008-5472.CAN-04-0489. [DOI] [PubMed] [Google Scholar]
- 11.Rodriguez-Gonzalez A, Ramirez de Molina A, Fernandez F, Ramos MA, del Carmen Nunez M, Campos J, et al. Inhibition of choline kinase as a specific cytotoxic strategy in oncogene-transformed cells. Oncogene. 2003;22:8803–12. doi: 10.1038/sj.onc.1207062. [DOI] [PubMed] [Google Scholar]
- 12.Rodriguez-Gonzalez A, Ramirez de Molina A, Fernandez F, Lacal JC. Choline kinase inhibition induces the increase in ceramides resulting in a highly specific and selective cytotoxic antitumoral strategy as a potential mechanism of action. Oncogene. 2004;23:8247–59. doi: 10.1038/sj.onc.1208045. [DOI] [PubMed] [Google Scholar]
- 13.Arlauckas SP, Popov AV, Delikatny EJ. Direct Inhibition of Choline Kinase by a Near-Infrared Fluorescent Carbocyanine. Mol Cancer Ther. 2014;13:1–10. doi: 10.1158/1535-7163.MCT-14-0085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kapoor GS, Poptani H, Hsu O, Kim S, O'Rourke D. In vivo analysis of EGFRvIII rat glioma growth and invasion by magnetic resonance imaging (MRI) Neuro-Oncol. 2007;9:467–602. [Google Scholar]
- 15.Covington AK, Paabo M, Robinson RA, Bates RG. Use of the glass electrode in deuterium oxide and the relation between the standardized pD (paD) scale and the operational pH in heavy water. Anal Chem. 1968;40:700–6. [Google Scholar]
- 16.Huszthy PC, Daphu I, Niclou SP, Stieber D, Nigro JM, Sakariassen PO, et al. In vivo models of primary brain tumors: pitfalls and perspectives. Neuro Oncol. 2012;14:979–93. doi: 10.1093/neuonc/nos135. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Bryant MJ, Chuah TL, Luff J, Lavin MF, Walker DG. A novel rat model for glioblastoma multiforme using a bioluminescent F98 cell line. J Clin Neurosci. 2008;15:545–51. doi: 10.1016/j.jocn.2007.04.022. [DOI] [PubMed] [Google Scholar]
- 18.Tkac I, Starcuk Z, Choi IY, Gruetter R. In vivo 1H NMR spectroscopy of rat brain at 1 ms echo time. Magn Reson Med. 1999;41:649–56. doi: 10.1002/(sici)1522-2594(199904)41:4<649::aid-mrm2>3.0.co;2-g. [DOI] [PubMed] [Google Scholar]
- 19.Kyrylkova K, Kyryachenko S, Leid M, Kioussi C. Detection of apoptosis by TUNEL assay. Methods Mol Biol. 2012;887:41–7. doi: 10.1007/978-1-61779-860-3_5. [DOI] [PubMed] [Google Scholar]
- 20.Evanochko WT, Ng TC, Glickson JD. Application of in vivo NMR spectroscopy to cancer. Magn Reson Med. 1984;1:508–34. doi: 10.1002/mrm.1910010410. [DOI] [PubMed] [Google Scholar]
- 21.Provencher SW. Automatic quantitation of localized in vivo 1H spectra with LCModel. NMR Biomed. 2001;14:260–4. doi: 10.1002/nbm.698. [DOI] [PubMed] [Google Scholar]
- 22.Ruifrok AC, Johnston DA. Quantification of histochemical staining by color deconvolution. Anal Quant Cytol Histol. 2001;23:291–9. [PubMed] [Google Scholar]
- 23.Aboagye EO, Bhujwalla ZM. Malignant transformation alters membrane choline phospholipid metabolism of human mammary epithelial cells. Cancer Res. 1999;59:80–4. [PubMed] [Google Scholar]
- 24.Ramirez de Molina A, Sarmentero-Estrada J, Belda-Iniesta C, Taron M, Ramirez de Molina V, Cejas P, et al. Expression of choline kinase alpha to predict outcome in patients with early-stage non-small-cell lung cancer: a retrospective study. Lancet Oncol. 2007;8:889–97. doi: 10.1016/S1470-2045(07)70279-6. [DOI] [PubMed] [Google Scholar]
- 25.Ramirez de Molina A, Gutierrez R, Ramos MA, Silva JM, Silva J, Bonilla F, et al. Increased choline kinase activity in human breast carcinomas: clinical evidence for a potential novel antitumor strategy. Oncogene. 2002;21:4317–22. doi: 10.1038/sj.onc.1205556. [DOI] [PubMed] [Google Scholar]
- 26.McCann CM, Waterman P, Figueiredo JL, Aikawa E, Weissleder R, Chen JW. Combined magnetic resonance and fluorescence imaging of the living mouse brain reveals glioma response to chemotherapy. Neuroimage. 2009;45:360–9. doi: 10.1016/j.neuroimage.2008.12.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Foster DA, Xu L. Phospholipase D in cell proliferation and cancer. Mol Cancer Res. 2003;1:789–800. [PubMed] [Google Scholar]
- 28.Sanchez-Lopez E, Zimmerman T, Gomez del Pulgar T, Moyer MP, Lacal Sanjuan JC, Cebrian A. Choline kinase inhibition induces exacerbated endoplasmic reticulum stress and triggers apoptosis via CHOP in cancer cells. Cell Death Dis. 2013;4:e933. doi: 10.1038/cddis.2013.453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Doblas S, He T, Saunders D, Hoyle J, Smith N, Pye Q, et al. In vivo characterization of several rodent glioma models by 1H MRS. NMR Biomed. 2012;25:685–94. doi: 10.1002/nbm.1785. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Young GS. Advanced MRI of adult brain tumors. Neurol Clin. 2007;25:947–73. doi: 10.1016/j.ncl.2007.07.010. viii. [DOI] [PubMed] [Google Scholar]
- 31.Podo F. Tumour phospholipid metabolism. NMR Biomed. 1999;12:413–39. doi: 10.1002/(sici)1099-1492(199911)12:7<413::aid-nbm587>3.0.co;2-u. [DOI] [PubMed] [Google Scholar]
- 32.Ronen SM, Jackson LE, Beloueche M, Leach MO. Magnetic resonance detects changes in phosphocholine associated with Ras activation and inhibition in NIH 3T3 cells. Br J Cancer. 2001;84:691–6. doi: 10.1054/bjoc.2000.1663. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Opstad KS, Bell BA, Griffiths JR, Howe FA. An investigation of human brain tumour lipids by high-resolution magic angle spinning 1H MRS and histological analysis. NMR Biomed. 2008;21:677–85. doi: 10.1002/nbm.1239. [DOI] [PubMed] [Google Scholar]
- 34.Kuesel AC, Briere KM, Halliday WC, Sutherland GR, Donnelly SM, Smith IC. Mobile lipid accumulation in necrotic tissue of high grade astrocytomas. Anticancer Res. 1996;16:1485–9. [PubMed] [Google Scholar]
- 35.Kuesel AC, Sutherland GR, Halliday W, Smith IC. 1H MRS of high grade astrocytomas: mobile lipid accumulation in necrotic tissue. NMR Biomed. 1994;7:149–55. doi: 10.1002/nbm.1940070308. [DOI] [PubMed] [Google Scholar]
- 36.Griffin JL, Lehtimaki KK, Valonen PK, Grohn OH, Kettunen MI, Yla-Herttuala S, et al. Assignment of 1H nuclear magnetic resonance visible polyunsaturated fatty acids in BT4C gliomas undergoing ganciclovir-thymidine kinase gene therapy-induced programmed cell death. Cancer Res. 2003;63:3195–201. [PubMed] [Google Scholar]
- 37.Hakumaki JM, Poptani H, Sandmair AM, Yla-Herttuala S, Kauppinen RA. 1H MRS detects polyunsaturated fatty acid accumulation during gene therapy of glioma: implications for the in vivo detection of apoptosis. Nat Med. 1999;5:1323–7. doi: 10.1038/15279. [DOI] [PubMed] [Google Scholar]
- 38.Lee SC, Delikatny EJ, Poptani H, Pickup S, Glickson JD. In vivo (1)H MRS of WSU-DLCL2 human non-Hodgkin's lymphoma xenografts: response to rituximab and rituximab plus CHOP. NMR Biomed. 2009;22:259–65. doi: 10.1002/nbm.1316. [DOI] [PubMed] [Google Scholar]
- 39.Lee SC, Poptani H, Pickup S, Jenkins WT, Kim S, Koch CJ, et al. Early detection of radiation therapy response in non-Hodgkin's lymphoma xenografts by in vivo 1H magnetic resonance spectroscopy and imaging. NMR Biomed. 2010;23:624–32. doi: 10.1002/nbm.1505. [DOI] [PubMed] [Google Scholar]
- 40.Liimatainen T, Lehtimaki K, Ala-Korpela M, Hakumaki J. Identification of mobile cholesterol compounds in experimental gliomas by (1)H MRS in vivo: effects of ganciclovir-induced apoptosis on lipids. FEBS Lett. 2006;580:4746–50. doi: 10.1016/j.febslet.2006.07.062. [DOI] [PubMed] [Google Scholar]
- 41.Delikatny E, Jeitner T. The accumulation of H-1 MR-visible lipid in human glioma cells is independent of the cell cycle. Int J Oncol. 1997;11:543–50. doi: 10.3892/ijo.11.3.543. [DOI] [PubMed] [Google Scholar]
- 42.Delikatny EJ, Chawla S, Leung DJ, Poptani H. MR-visible lipids and the tumor microenvironment. NMR Biomed. 2011;24:592–611. doi: 10.1002/nbm.1661. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Milkevitch M, Shim H, Pilatus U, Pickup S, Wehrle JP, Samid D, et al. Increases in NMR-visible lipid and glycerophosphocholine during phenylbutyrate-induced apoptosis in human prostate cancer cells. Biochim Biophys Acta. 2005;1734:1–12. doi: 10.1016/j.bbalip.2005.01.008. [DOI] [PubMed] [Google Scholar]
- 44.Roman SK, Jeitner TM, Hancock R, Cooper WA, Rideout DC, Delikatny EJ. Induction of magnetic resonance-visible lipid in a transformed human breast cell line by tetraphenylphosphonium chloride. Int J Cancer. 1997;73:570–9. doi: 10.1002/(sici)1097-0215(19971114)73:4<570::aid-ijc19>3.0.co;2-d. [DOI] [PubMed] [Google Scholar]
- 45.Vartanian A, Singh SK, Agnihotri S, Jalali S, Burrell K, Aldape KD, et al. GBM's multifaceted landscape: highlighting regional and microenvironmental heterogeneity. Neuro Oncol. 2014;16:1167–75. doi: 10.1093/neuonc/nou035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Glunde K, Shah T, Winnard PT, Jr., Raman V, Takagi T, Vesuna F, et al. Hypoxia regulates choline kinase expression through hypoxia-inducible factor-1 alpha signaling in a human prostate cancer model. Cancer Res. 2008;68:172–80. doi: 10.1158/0008-5472.CAN-07-2678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Bansal A, Harris RA, DeGrado TR. Choline phosphorylation and regulation of transcription of choline kinase alpha in hypoxia. J Lipid Res. 2012;53:149–57. doi: 10.1194/jlr.M021030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Workman P, Kaye SB. Translating basic cancer research into new cancer therapeutics. Trends Mol Med. 2002;8:S1–9. doi: 10.1016/s1471-4914(02)02319-5. [DOI] [PubMed] [Google Scholar]
- 49.Gelmon KA, Eisenhauer EA, Harris AL, Ratain MJ, Workman P. Anticancer agents targeting signaling molecules and cancer cell environment: challenges for drug development? J Natl Cancer Inst. 1999;91:1281–7. doi: 10.1093/jnci/91.15.1281. [DOI] [PubMed] [Google Scholar]