Abstract
Background:
Dichloroacetate (DCA) has been found to have antitumour properties.
Methods:
We investigated the cellular and metabolic responses to DCA treatment and recovery in human colorectal (HT29, HCT116 WT and HCT116 Bax-ko), prostate carcinoma cells (PC3) and HT29 xenografts by flow cytometry, western blotting, electron microscopy, 1H and hyperpolarised 13C-magnetic resonance spectroscopy.
Results:
Increased expression of the autophagy markers LC3B II was observed following DCA treatment both in vitro and in vivo. We observed increased production of reactive oxygen species (ROS) and mTOR inhibition (decreased pS6 ribosomal protein and p4E-BP1 expression) as well as increased expression of MCT1 following DCA treatment. Steady-state lactate excretion and the apparent hyperpolarised [1-13C] pyruvate-to-lactate exchange rate (kPL) were decreased in DCA-treated cells, along with increased NAD+/NADH ratios and NAD+. Steady-state lactate excretion and kPL returned to, or exceeded, control levels in cells recovered from DCA treatment, accompanied by increased NAD+ and NADH. Reduced kPL with DCA treatment was found in HT29 tumour xenografts in vivo.
Conclusions:
DCA induces autophagy in cancer cells accompanied by ROS production and mTOR inhibition, reduced lactate excretion, reduced kPL and increased NAD+/NADH ratio. The observed cellular and metabolic changes recover on cessation of treatment.
Keywords: dichloroacetate, hyperpolarised 13C-MRS, 1H-MRS, autophagy, monocarboxylate transporter-1 inhibitor, [1-13C]pyruvate, pyruvate to lactate exchange rate
Dichloroacetate (DCA) is a pyruvate dehydrogenase kinase (PDK) inhibitor, which activates pyruvate dehydrogenase (PDH), and increases glucose oxidation by promoting influx of pyruvate into the Krebs cycle. DCA has been shown to cause production of reactive oxygen species (ROS) (Bonnet et al, 2007). It has been found to have anti-tumour properties by inducing cell-cycle arrest and apoptosis in small-cell lung (Bonnet et al, 2007), prostate (Cao et al, 2008), colorectal (Madhok et al, 2010), breast (Sun et al, 2010), T-cell lymphoma (Kumar et al, 2012) and head and neck squamous cell (Sun et al, 2009) carcinoma models. Additive anti-tumour effects were found in the recently published DCA combination studies, for example, DCA in combination with radiation in prostate cancer (Cao et al, 2008), arsenic trioxide in breast cancer (Sun et al, 2011), platinum-based drugs (Fiebiger et al, 2011) or sulindac (Ayyanathan et al, 2012) in lung cancer, 5-flurouracil in colorectal cancer (Tong et al, 2011), bortezomib in multiple myeloma (Sanchez et al, 2013), sorafenib in hepatic carcinoma (Shen et al, 2013) and bevacizumab in glioblastoma (Kumar et al, 2013). DCA is currently in clinical trial (http://clinicaltrials.gov/show/NCT01111097; Michelakis et al, 2010).
Magnetic resonance spectroscopy (MRS) is widely used to measure metabolite concentrations in cell extracts, whole cells, tissue biopsies and in vivo (Chung and Griffiths, 2007, 2011). Advances in hyperpolarised 13C-MRS using dynamic nuclear polarisation (DNP) have further enabled real-time measurements of the kinetics of a range of important endogenous enzymes (Golman et al, 2006a, 2006b), such as lactate dehydrogenase (LDH), either in vitro in suspensions of viable whole cells or in tumours in vivo (Ward et al, 2010). Previous studies using hyperpolarised 13C-MRS have shown significant decreases in lactate-to-bicarbonate ratio (Park et al, 2013) and pyruvate-to-lactate exchange (Seth et al, 2011) in tumour models following 24-h treatment with DCA. Apparent pyruvate-to-lactate exchange rate constants (kPL) have been shown to decrease following drug-induced depletion of the cofactors NAD(H) (Day et al, 2007) and have been shown to be dependent on NAD+/NADH ratios (Christensen et al, 2014) and the expression and activity of LDH (Ward et al, 2010) as well as on the activity of members of the monocarboxylate transporter family (MCTs), which mediate pyruvate and lactate transport into and out of the cell (Harris et al, 2009).
Cells with impaired apoptosis pathways may be resistant to DCA. In this study, we investigate potential non-invasive biomarkers of response following DCA treatment and during recovery from treatment, evaluating the cellular and metabolic effects of DCA on cancer cells that are able to undergo apoptosis (HCT116 wild-type (WT) and HT29 colorectal carcinoma cells, PC3 prostate carcinoma cells) and a cancer cell line that lacks this ability (HCT116 Bax-ko cells that are deficient in the protein Bax; Zhang et al, 2000).
Surprisingly, we observed minimal apoptosis or necrosis in all the cell lines but instead observed induction of autophagy and increased expression of LC3B II in all the cell lines following 24 h of DCA treatment. Induction of autophagy was also found in DCA-treated HT29 xenografts. We observed increased ROS production and mTOR inhibition (as demonstrated by the reduction in the phosphorylation of S6 ribosomal protein and 4E-BP1), suggesting that they have a role in the induction of autophagy following DCA treatment in these cell lines.
The measured lactate excretion into the culture media was reduced after DCA treatment, returned to control levels following recovery in HCT116 Bax-ko cells and exceeded control levels in recovered HCT116 WT cells. Significant reductions in the apparent forward rate constant kPL (and associated increased NAD+/NADH ratios and NAD+ levels in cells) were observed following DCA treatment in all the cell lines as well as in HT29 xenografts. Significantly higher kPL, NADH and NAD+ levels were found following 48-h recovery from DCA treatment in HCT116 Bax-ko cells when compared with controls. Our data indicated that DCA-induced autophagy is a reversible process with recovery of cell growth as well as a recovery in metabolism when treatment is stopped.
Materials and methods
Cells and cell culture
All media and reagents for cell culture were purchased from Invitrogen (Paisley, UK). HT29, PC3 and HCT116 WT cells were purchased from American Type Culture Collection (ATCC, Manassas, VA, USA), and HCT116 Bax-ko cells were a kind gift from Dr. Bert Vogelstein, Johns Hopkins Medical Center, USA; via Dr. Paul Clarke, ICR, Sutton, UK (Zhang et al, 2000). PC3, HCT116 Bax-ko and WT cells were cultivated in Dulbecco's Modified Eagle Medium with glutamine and non-essential amino acids. HT29 cells were cultivated in McCoy 5A medium with glutamine and HEPES. All culture media were supplemented with penicillin–streptomycin and 10% fetal bovine serum. Cells were cultivated in an incubator at 37 °C in a humidified atmosphere containing 95% air and 5% CO2. Cells were tested every month to ensure that they were free from mycoplasma infection.
Cell treatment
HCT116 Bax-ko and HCT116 WT cells were treated with 30 ng ml−1 tumour necrosis factor-related apoptosis-inducing ligand/Apo 2L (TRAIL, PeproTech EC 310-04, Rocky Hill, NJ, USA) for 24 h to confirm the impaired apoptosis pathway in HCT116 Bax-ko cells (Han et al, 2008). HT29, PC3 and HCT116 Bax-ko and HCT116 WT cells were treated with 100 mM, 80 mM, 75 mM and 75 mM DCA (Sigma-Aldrich, Gillingham, UK), respectively, for 24 h, to achieve approximately 40% of adherent cells relative to controls. For the cellular and metabolic analysis of cells recovered from autophagy, HCT116 WT and HCT116 Bax-ko cells were treated with DCA for 24 h and were then recovered for a further 48 h in normal DMEM culture medium (with glutamine, non-essential amino acids, 10% fetal calf serum and penicillin/streptomycin added) under standard conditions. Cell diameter was measured in a Vi-CELL Cell Viability Analyser (Beckman Coulter, High Wycombe, UK).
Western blotting
Cell and tumour lysates were analysed by western blotting, as described previously (Han et al, 2008). Cell and tumour lysate protein was transferred onto Immobilon-P membranes (Millipore; Bedford, MA, USA). Blots were incubated with caspase-3 antibody (Cell Signaling, Beverly, MA, USA), cleaved-PARP (Cell Signaling), MCT-1 (Millipore), p4E-BP1 (Cell Signaling), S6 ribosomal protein (Cell Signaling), pS6 ribosomal protein (Cell Signaling) or LC3B antibody (Cell Signaling). The membranes were then incubated with anti-rabbit secondary antibody (GE Healthcare, Little Chalfont, UK). α-Tubulin (Cell Signaling) and β-actin (Cell Signaling) were used as loading controls. Specific-binding antibody–target protein interactions were detected using enhanced chemiluminescence plus reagents (Amersham Biosciences, Chalfont St Giles, UK) and exposure to either Hyperfilm ECL (Amersham) or X-OMAT Kodak (Kodak, Rochester, NY, USA) autoradiography film.
Annexin V/PI analysis
In all, 5 × 105 cells were resuspended in binding buffer, incubated at 25 °C for 5 min in the dark with 5 μl fluorescein isothiocyanate–annexin-V and 5 μl propidium iodide (PI) (BioVision, Mountain View, CA, USA), and analysed by fluorescence activated cell sorting (FACS, BD LSRII flow cytometer, BD Biosciences, Oxford, UK) to determine annexin-V binding and PI exclusion. The population of cells with low annexin-V/low PI staining were defined as viable cells, high annexin-V/low PI staining as early apoptotic cells and high annexin-V/high PI staining as late apoptotic or necrotic cells.
Cell-cycle analysis
A total of 2 × 106 cells were fixed with 70% ethanol for 30 min at 4 °C and incubated with 100 μg ml−1 RNAase and 40 μg ml−1 PI in phosphate-buffered saline for 30 min at 37 °C. DNA histograms were generated by FACS analysis.
Electron microscopy
Cells were grown in 13-mm dishes and fixed for 4 h in 2.5% glutaraldehyde fixative in phosphate buffer at 4 °C. After fixation, cell monolayers were placed in glutaraldehyde wash solution and then postfixed in Millonigs Osmium Tetroxide fixative for 15–30 min. The cultures were dehydrated through a graded series of 10% to 100% ethanol, infiltrated and then embedded in medium TAAB Premix Resin. Ultrathin sections were collected on copper grids and stained with uranyl acetate and lead citrate. Sections were viewed using a Hitachi H7600 transmission electron microscope (Hitachi High-Technologies Corporation, Tokyo, Japan).
ROS measurements
OxiSelect ROS assay kit (Cell Biolabs, Inc., San Diego, CA, USA) was used in this experiment according to the protocol provided by the manufacturer. ROS levels were measured in HT29 (100 mM), HCT116 WT (75 mM) and Bax-ko (75 mM) cells treated with DCA for 1 h.
LDH enzymatic assay
Cellular LDH activities were measured using the standard spectrophotometric methods as previously described (Board et al, 1990). Cells were collected by standard trypsin treatment, lysed on ice in extraction buffer (triethanolamine/HCL 50 mM, EDTA 1 mM, MgCl2 2 mM, β-mercaptoethanol 26 mM) and centrifuged at 16 000 g for 10 min to give total protein concentrations in the supernatants of about 5 mg ml−1. Reactions were started by adding assay solutions (triethanolamine/HCL 60 mM, NADH 0.17 mM, sodium pyruvate 0.4 mM, triton 0.05%), and the activities of LDH enzymes were measured spectrophotometrically at 340 nm, with enzymatic activities measured in nmol min−1 per million cells.
NAD+ and NADH measurements
Total cellular NAD+/NADH ratios were measured using an NAD+/NADH quantification kit (BioVision), according to the protocol provided by the manufacturer.
1H-MRS of culture medium and cell extracts
1H-MRS was performed on a Bruker 500 MHz spectrometer (Bruker Biospin, Ettlingen, Germany). 1H-MRS: 7500 Hz spectral width, 16 384 time domain points, 128 scans, temperature 298 K, acquisition time approximately 5 min. The water resonance was suppressed by a gated irradiation centred on the water frequency. Spectral processing was carried out using the Bruker Topspin-3 software package (Bruker Biospin, Coventry, UK). Cells were extracted by perchloric acid or dual-phase extraction procedures as previously described (Tyagi et al, 1996; Chung et al, 2003). Water-soluble extracts were freeze-dried and reconstituted in 700 μl deuterated water (D2O, Sigma Aldrich), and the extracts (500 μl) were then placed in 5 mm NMR tubes. In all, 50 μl of 0.75% sodium 3-trimethylsilyl-2,2,3,3-tetradeuteropropionate (TSP) in D2O (Sigma Aldrich) was added to the samples for chemical shift calibration and quantification. Media from the cultured cells were also analysed by 1H-MRS, a 500-μl sample of culture media and a 50-μl of D2O were placed in a NMR tube and 50 μl of 0.75% TSP in D2O was added to the samples for chemical shift calibration and quantification. Spectral assignments were based on literature values (Sitter et al, 2002).
In vitro DNP 13C-MRS studies
[1-13C] pyruvic acid containing 15 mM OX63 free radical was polarised in a HyperSense DNP polariser (Oxford Instruments Molecular Biotools, Abingdon, UK) at 3.35 T and 1.4 K as described previously (Golman et al, 2006a). The polarised sample was dissolved in a neutralised phosphate-buffered solution containing 50 mM unlabelled lactate and 1 mM EDTA. In all, 100 μl [1-13C]pyruvate solution was added to a 500-μl suspension of control, DCA treated or recovered cells (∼80–100 million cells) in a 5-mm NMR tube with or without DCA added to the suspension medium, resulting in a final concentration of 8 mM polarised pyruvate and 8 mM unlabelled lactate, after which serial 13C-MRS spectra were acquired using a 500 MHz spectrometer (Bruker Biospin, Ettlingen, Germany) at 125 MHz in a multinuclear (BBO) probe every 2 s with a 10° angle radio-frequency pulse.
Kinetic analysis of in vitro hyperpolarised data
Serial spectra were phase and baseline corrected and integrated using the XWinNMR software (Bruker Biospin, Coventry, UK). The integrated peak areas from the pyruvate/lactate experiments were plotted as a function of time, and apparent reaction rates were obtained by least-squares fitting of the data to the modified Bloch equations using a two-site exchange model as previously described (Hill et al, 2013a, 2013b). All apparent rate constants for the forward reaction of conversion of pyruvate-to-lactate (kPL) are presented as a mean concentration per second normalised to the number of cells.
In vivo HT29 xenograft model
HT29 carcinoma cells (5 × 106) were injected and propagated subcutaneously in the flank of NCr female nude mice. Tumour volume was calculated by measuring the length, width and depth using calipers and the formula L × W × D × (π/6). Once an appropriate tumour volume (∼300 mm3) was established, mice were randomly divided into two groups; one group was treated with 200 mg kg−1 DCA p.o. once daily for 4 days (n=7) and another group with vehicle (saline) alone (n=6). Tumour volumes were measured daily to assess the anti-tumour effect of DCA on HT29 xenografts. Tumours were then harvested 4 h after the last dose for western blotting analysis. A separate cohort of mice (three vehicle- and three DCA-treated for 3 days) was used for the in vivo DNP 13C-MRS study. All procedures performed on mice were approved by the Institute of Cancer Research Ethical Review Committee and with the authority of Personal and Project Licences issued by the UK Home Office under the Animals (Scientific Procedures) Act 1986 and in accordance with the United Kingdom National Cancer Research Institute guidelines for the welfare of animals in cancer research (Workman et al, 2010).
In vivo DNP 13C-MRS study
In vivo MRS was performed on a Philips 3T Achieva clinical scanner (Philips Healthcare, Guildford, UK). Mice bearing HT29 xenografts (volume of 250–300 mm3) were positioned with their tumour within a 2-cm diameter 13C transmit/receive surface coil at the isocentre of the scanner. 1H-MR imaging was performed using a human endorectal coil placed adjacent to the mouse. 1H shimming was carried out using an iterative VOI protocol on an axial slice encompassing the whole tumour (voxel size 10 × 10 × 10 mm3). 1H-MR imaging was used to plan the 13C slice selective spectroscopy geometry and obtain reference images to calculate the tumour volume that was included within the 13C-MR spectroscopy slice (measured using the volume rendering tool in OsiriX (Pixmeo Sarl, Bernex, Switzerland)). The hyperpolarised [1-13C]pyruvic acid was dissolved in 4 ml Trizma buffer containing 80 mM sodium hydroxide, 1 mM EDTA and 50 mM sodium chloride, resulting in a 80-mM [1-13C]pyruvate solution. An aliquot of this solution was tested for pH (pH 7) and temperature (37 °C) before injection. Following the quality control check, 175 μl hyperpolarised [1-13C]pyruvate was administered in situ via a lateral tail vein over approximately 5 s. A series of 128 13C-MR spectra were recorded at 32 MHz every 3 s using a 20° slice selective pulse-and-acquire sequence (10 mm slice thickness, 1 transient, 2048 time domain points, 8 kHz spectral width). In vivo DNP 13C-MRS measurement of tumours was performed on day 0 (before treatment), and mice were then treated on days 1 and 2 with 200 mg kg−1 DCA or saline p.o. and a final dose was given 1 h before the posttreatment measurement (Day 3).
Postprocessing of in vivo13C-MRS spectra
Spectra were zero filled to 4096 points and line broadened by 30 Hz. Metabolite peaks were quantified using the Amares fitting tool in jMRUI (http://sermn02.uab.es). Previous knowledge was used to initialise the time-domain fitting using the Amares software (http://sermn02.uab.es). Soft-constraint values were supplied for the frequency range, linewidth and peak amplitudes, and the phase of all of the peaks was fixed. Peak areas were exported from jMRUI as text files, and kinetic modelling was performed using Matlab (Mathworks, UK) by fitting to the time series of peak areas. These time series were modelled according to the modified Bloch equations and fitted using maximum likelihood estimation. A raised cosine input function was used to model the pyruvate bolus. Data were fitted with a three-site (signals from pyruvate, lactate and alanine were fitted), two-way kinetic model (Hill et al, 2013b). Rates were normalised to the tumour volume included within the spectroscopy acquisition slice.
The kinetic model included alanine as it is measurable in the spectra and pyruvate can be converted to alanine and vice versa. If alanine is not included in the kinetic model, it may bias the apparent forward and backward pyruvate and lactate exchange rates. The alanine data are not presented here, because the conversion of pyruvate to alanine is not of direct relevance in this study.
Statistical analysis
Data are presented as the mean±s.e.m. For comparison of metabolic exchange rate constants, metabolite concentrations and ratios, the Student's t-test was used with a P-value of ⩽0.05 considered to be statistically significant. All statistical tests were two-tailed.
Results
TRAIL induces apoptosis in HCT116 WT but not in HCT116 Bax-ko cells confirming the failure of HCT116 Bax-ko to undergo apoptosis
Apoptosis was induced in HCT16 WT cells after 24 h of TRAIL treatment, as confirmed by markedly increased cleaved-PARP (Figure 1A). Negligible cleaved PARP was apparent in the HCT116 Bax-ko cells after TRAIL treatment, indicating that no apoptosis had occurred (Figure 1A).
DCA causes cell cycle arrest and reduction in cell number when compared with controls
Representative flow cytometry analysis histograms showing cell cycle distribution of vehicle- (saline) and DCA-treated HCT116 WT cells are illustrated in Figure 1B. Cell cycle analysis by flow cytometry demonstrated that DCA caused a G2 arrest in HCT116 WT and HCT116 Bax-ko cells. G1 arrest was observed in HT29 and PC3 cells (Figure 1C). No significant change in cell size was observed in the treatment groups when compared with controls. A significant reduction in adherent cell number was found in all the treatment groups (Figure 1D). Following 48 h of recovery from DCA treatment, the cell number significantly increased in HCT116 Bax-ko cells and returned toward control levels in HCT116 WT cells when compared with control cells after 24 h of vehicle treatment (Figure 1D).
DCA induces autophagy in cancer cells
Treatment of HT29, PC3, HCT116 WT and HCT116 Bax-ko cells with DCA for 24 h caused low levels of necrosis and apoptosis in all the treatment groups when compared with controls as shown by Annexin V and PI staining (Figure 2A) and by western blottings (Figure 2B). Twenty-four hours of DCA treatment was found to induce autophagy in all cell lines studied, as confirmed by the overexpression of LC3B II in western blottings (Figure 2B). Electron microscopy revealed the presence of double-membrane autophagosomes in all the treated groups, indicating the occurrence of autophagy (Figure 3). Cell recovery from DCA-induced autophagy was found to be time dependent, as shown by the LC3B II band in the western blots of HCT116 Bax-ko and WT cells (Figure 4A and B), and consistent with the reversible nature of this process. A recovery time of 48 h after the cessation of DCA treatment was used for further MRS studies, as the levels of LC3B II expression were similar to controls at this time point.
DCA treatment leads to increased levels of ROS
In order to determine whether increased ROS production is an early event that could trigger autophagy, ROS levels were measured in all DCA-treated colorectal cancer cells after 1 h of treatment. Increased ROS production was found in HT29 (212±4% of control; P<0.0001), HCT116 Bax-ko (131±2% of control; P<0.004) and HCT116 WT (147±10% of control; P<0.0001) cells (Figure 4C).
DCA treatment causes mTOR inhibition
In order to investigate the molecular effects and the possible drivers that induced autophagy following DCA treatment, the mTOR pathway was examined in DCA-treated colorectal cancer cells. Western blotting analysis for total S6 ribosomal protein, pS6 ribosomal protein and p4E-BP1 (molecular biomarkers for mTOR inhibition) was performed on control and DCA-treated HT29, HCT116 Bax-ko and HCT116 WT cells. Decreased expression levels of pS6 ribosomal protein and p4E-BP1 and no change in total S6 ribosomal protein were found in all DCA-treated cells when compared with controls (Figure 4D), confirming that mTOR inhibition occurred following DCA treatment.
DCA treatment reduces lactate excretion with no change in glucose uptake
In order to examine the Warburg effect in DCA-treated cancer cells, culture media from HT29, PC3, HCT116 WT and HCT116 Bax-ko cells following 24 h of DCA treatment and from control cell cultures were analysed by 1H-MRS. Significant reductions in lactate excretion (P<0.0001) were observed in all the DCA treatment groups when compared with controls (Figure 5). Lactate excretion in HCT116 Bax-ko and HCT116 WT cells returned to and above the 24-h saline-treated control values, respectively (Figure 5), when the cells had recovered for 48 h from DCA-induced autophagy. Glucose uptake remained unchanged in all DCA-treated cells and in recovered HCT116 Bax-ko cells and was higher than controls in recovered HCT116 WT cells (Figure 5). Our data showed that both apoptosis proficient and defective cell lines are able to recover from DCA-induced autophagy and that this process is reversible.
DCA causes reduction in apparent kPL in cancer cells
In order to assess pyruvate kinetics in DCA-treated cells, hyperpolarised [1-13C]pyruvate to lactate exchange was monitored by 13C-MRS in real-time. HCT116 Bax-ko, HT29 and PC3 cells were treated with DCA for 24 h. 13C-MR spectra and the kinetics of kPL from control, DCA-treated and recovered HCT116 Bax-ko cell suspensions after the addition of hyperpolarised [1-13C]pyruvate are illustrated in Figure 6A–C. Significant reductions in kPL were found in all the treatment groups (P<0.005; Figure 6D). No pyruvate conversion to bicarbonate was observed in any of the experiments. A significant increase in kPL to greater than control rates was observed in HCT116 Bax-ko cells after recovery from DCA-induced autophagy (P<0.001; Figure 6A–D).
Increased LDH activity, NAD+/NADH ratio, NAD+ level and MCT-1 expression in DCA-treated cells
Significant increases in LDH activity were found in all of the three cell lines after DCA treatment (Figure 7A). Total intracellular NAD(H) pool levels (measured by 1H-MRS) were unchanged in DCA-treated cells except for the DCA-treated HT29 cells and recovered HCT116 Bax-ko cells where increases in intracellular NAD(H) were observed (Figure 7B). Levels of NAD+ and NADH and NAD+/NADH ratios were further examined in DCA-treated HT29 and HCT116 Bax-ko cells using a NAD+/NADH kit. Increased NAD+/NADH ratios were found in HT29 (166±21% of control; P=0.006) and HCT116 Bax-ko cells (170±19% of control; P=0.03) following 24 h of DCA treatment, and this ratio returned to control levels by 48 h of recovery (Figure 7C). The observed increased NAD+/NADH ratio during DCA treatment is due to a rise in NAD+ level in HT29 (180±22% of control; P=0.01) and HCT116 Bax-ko cells (179±19% of control; P=0.03) coupled with no change in NADH level (Figure 7D). In HCT116 Bax-ko cells recovered from DCA treatment, the NAD+ level was further elevated (332±62% of control; P=0.007) with increased NADH (336±92% of control; P=0.007) (Figure 7D) and therefore no significant change in NAD+/NADH ratio (Figure 7C).
We then examined the MCT-1 expression level in HCT116 Bax-ko cell, and an increase in MCT-1 expression was found in those cells following 24 h of DCA treatment, and it remained above control level after 48 h of recovery (Figure 7E).
DCA is a possible competitive MCT-1 inhibitor
The dramatic drop in the apparent rate constant kPL following DCA treatment could be in part due to competitive inhibition of MCT-1 by the high concentrations of DCA in the medium, as DCA is a monocarboxylate anion and a structural analogue of pyruvate. We measured kPL in HCT116 Bax-ko cells following 24 h DCA treatment for cells resuspended in culture medium, either with or without DCA added. A significant reduction in the kPL was found in DCA-treated HCT116 Bax-ko cells without DCA added to the medium (0.32±0.02 nmol s−1 million cells−1), when compared with control rates (0.57±0.03 nmol s−1 million cells−1; P<0.001; Figure 6A and D). The kPL of DCA-treated HCT116 Bax-ko cells without DCA added to the medium was significantly higher than that with DCA present in the medium (0.18±0.02 nmol s−1 million cells−1; P<0.01; Figure 6A and D).
DCA treatment induces autophagy and reduces kPL in HT29 xenografts
We examined the cellular and metabolic effects and efficacy of DCA treatment in HT29 tumours in vivo. Significant differences in tumour volumes were found after 3 days of treatment between the vehicle- and DCA-treated groups, indicating that DCA treatment causes a significant growth delay in HT29 xenografts. Following 3 days of treatment, tumour volumes increased by 17%±3% in the vehicle group and by 2%±3% in the DCA-treated group (P=0.005; Figure 8A). DCA-treated tumour volume remained static (0.4%±3%), whereas vehicle-treated tumour volume increased to 28%±4% by 4 days of DCA treatment (P=0.0004; Figure 8A). Induction of autophagy (as shown by the increased expression of LC3B) was found in DCA-treated HT29 tumours when compared with vehicle controls, with minimal apoptosis as observed by the absence of cleaved PARP (Figure 8B).
A transverse image of a mouse with a subcutaneous HT29 xenograft (tumour outlined) is shown in Figure 8C, with the acquisition slice for 13C-MRS indicated (grey lines). Representative in vivo 13C-MR spectra acquired from the same HT29 tumour xenograft pre- and post-DCA treatment are shown in Figure 8D. The full width at half maximum of the [1-13C]pyruvate peak was 31 Hz. Resonances from [1-13C]lactate, [1-13C]pyruvate hydrate, [1-13C]alanine and [1-13C]pyruvate are seen. There is also a small resonance at 161 p.p.m. that is attributed to 13C bicarbonate but was too small to reliably quantify using the Amares fitting protocol. There is a linear phase shift in the spectrum as a result of chemical shift evolution during the time delay between excitation and acquisition that is required for the application of slice selective gradients.
Figure 8E shows a representative example of the peak areas from a dynamic time series of spectra. The solid lines show the fits from a two-way, three-site exchange model based on the modified Bloch equations (Hill et al, 2013b). Residuals show that the kinetic model provided a good fit to the data. In order to compare data from different tumours, the apparent rate constants obtained from kinetic modelling were normalised to the tumour volume included in the acquisition slice. Treatment with DCA induced a significant 49% reduction in kPL when compared with the pretreatment value (P=0.01; Figure 8F). Mean kPL pre- and post-DCA treatment were 4.80±0.61 × 10−5 and 2.46±0.33 × 10−5 s−1 per mm3 tissue volume, respectively. No significant change in kPL was seen in the vehicle group.
Discussion
To our knowledge, this is the first report showing induction of autophagy by DCA in cancer cell lines and tumour xenografts. Our study showed that DCA induces autophagy in human colorectal and prostate cancer cells with minimal apoptosis and necrosis and that these cells can subsequently recover from DCA-induced autophagy. Induction of autophagy was observed both in cell lines that have active apoptosis pathways (HCT116 WT, HT29 and PC3) as well as in a cell line where apoptosis pathways are impaired (HCT116 Bax-ko), suggesting that DCA-induced autophagy occurs independently of the cells' ability to undergo apoptosis.
We observed decreases in expression of pS6 ribosomal protein and p4E-BP1 protein in DCA-treated cells, indicating that mTOR was inhibited. mTOR inhibition is an important trigger of autophagy during stress (Jung et al, 2010), and this could be a potential mechanism of autophagy induction in DCA-treated cancer cells. We also found that DCA treatment leads to increased levels of ROS, a potential mechanism for autophagy induction in DCA-treated cancer cells. Our data are consistent with recent reports of mitochondrially generated ROS-activating autophagy (Chen and Gibson, 2008; Chen et al, 2009), suggesting that a modest increase in ROS production could induce autophagy. Autophagy has been reported to be induced by oxidative stress (Kroemer et al, 2010) via mechanisms including activation of PERK (Liu et al, 2008; Rzymski et al, 2009); direct oxidation and activation of Atg4 proteases (Scherz-Shouval et al, 2007); direct or indirect inhibition of mTOR (Liu et al, 2008; Alexander et al, 2010); and activation of JNK1 (Wong et al, 2010). Autophagy prevents a build-up of ROS by removal of damaged mitochondria, facilitated by accumulation of the mitochondrial kinase, PINK1, on the surface of damaged mitochondria to recruit the E3 ubiquitin ligase Parkin and the autophagy adaptor protein, p62/SQSTM1 SQSTM1 (Geisler et al, 2010; Kroemer et al, 2010; Narendra et al, 2010).
Madhock et al (2010) showed a G2 arrest in DCA-treated HT29 cells, but we observed a G1 arrest in HT29 and PC3 cells and G2 arrest in HCT116 WT and Bax-ko cells in our study. It is unclear why this is the case, and future studies are required to investigate this further. Nevertheless, the molecular and metabolic changes following DCA treatment are very similar in all of the cell lines that we have used in the present study, indicating that the changes that we observed are unlikely to be due to changes in the cell cycle.
Significantly decreased lactate excretion was observed in all DCA-treated cells with no change in glucose uptake, suggesting a reduction in Warburg effect. This reduction in the Warburg effect is due to changes in glucose utilisation rather than glucose uptake. Consistent with this finding, DNP measurements showed significant reductions in kPL in DCA-treated cells and in vivo in DCA-treated tumours. PDK inhibition results in PDH activation and is expected to cause decreased lactate production, diverting more pyruvate into the TCA cycle. Previous publications have shown that kPL is sensitive to a number of factors, including changes in LDH activities (Day et al, 2007; Ward et al, 2010), the availability of the enzyme co-factor NAD(H), NAD+/NADH ratios (Witney et al, 2011; Christensen et al, 2014) and changes in substrate concentration, for example, the endogenous concentration of lactate, as well as modulation of monocarboxylate transporters (Harris et al, 2009). In our experiments, we observed increases in the NAD+/NADH ratio and in NAD+ in DCA-treated HT29 and HCT116 Bax-ko cell lines, which are consistent with the observed drop in kPL.
The observed increase in NAD+/NADH ratio following DCA treatment in our experiments is consistent with enhanced mitochondrial complex 1 activity leading to increased oxidation of NADH generated during glycolysis and the TCA cycle (Santidrian et al, 2013). The reduction in the Warburg effect during DCA-induced autophagy and PDK inhibition by DCA treatment could result in more pyruvate being diverted to the TCA cycle and a reduction in lactate excretion. Enhanced TCA cycle activity during autophagy may also lead to less reliance on aerobic glycolysis in autophagic cells with cellular homeostasis maintained by utilising autophagic degradation products to fuel cell metabolism (Rabinowitz and White, 2010). This is consistent with the NAD+/NADH ratio returning to control levels following recovery from DCA-induced autophagy in HCT116 Bax-ko cells. Our data are consistent with the known inverse relationship between lactate/pyruvate ratios and NAD+/NADH ratios (Williamson et al, 1967; Christensen et al, 2014). Previous studies have shown that the kPL rate constant has a strong linear correlation with lactate/pyruvate ratios (Witney et al, 2011; Hill et al, 2013b), and therefore a reduction in kPL would be consistent with a decreased lactate/pyruvate ratio and an increased NAD+/NADH ratio. Previously, we have also demonstrated a significant reduction in kPL and an associated increase in NAD+/NADH ratio in autophagic cells in which autophagy had been induced by 24 h of PI103 treatment (kPL reduced to about 40–50% of control; Lin et al, 2014). The magnitude of these changes is similar to the changes that we observed in DCA-treated HCT116 Bax-ko cells without the addition of DCA to the final cell suspensions.
The mean decreases in kPL in DCA-treated HCT116 Bax-ko cells were greater (68%) with DCA added to the final cell suspension mixture compared with 44% without DCA added to the suspension media, indicating that the combined effect of PDK inhibition and/or DCA-induced autophagy is about 44% and that the competitive inhibition of MCT-1 contributes an additional decrease in kPL of about 24%. This difference in the measured rates suggests that high concentrations of DCA can competitively inhibit the MCT-1 transporter. This would elicit a further additive effect, by slowing pyruvate entry into the cell and cause a further drop in kPL in DCA-treated cells. Interestingly, both MCT-1 expression and activity of LDH were increased in DCA-treated cells, in contrast to the observed drop in kPL, and these changes suggest that the cells may be compensating for the combined effects of PDK and MCT-1 inhibition due to DCA treatment by upregulating MCT1 expression and LDH activity.
We have also examined the longitudinal effect on the measured kPL in DCA-treated cancer cells undergoing autophagy and during their subsequent cellular recovery. The apparent rate constant kPL was higher than control in the group that had recovered from DCA treatment and was associated with recovery of cell numbers to higher than control, and with a sustained increased MCT-1 expression and concentration of NADH, which would enable increased influx of pyruvate into the cell and increased turnover of hyperpolarised substrates in the cytosol. Total lactate excretion in cells recovering from DCA-induced autophagy returned to or above the level of 24-h vehicle-treated controls, indicating that the cells had also recovered from the metabolic effects of DCA-induced autophagy. Similar cellular and metabolic changes were also observed in HCT116 Bax-ko cells recovered from PI103-induced or amino acid and serum deprivation-induced autophagy (Lin et al, 2014). Taken together, our data demonstrate that DCA-induced autophagy was reversible in our experiments.
DCA is currently in clinical trial (http://clinicaltrials.gov/show/NCT01111097; Michelakis et al, 2010). Our study showed that DCA can induce autophagy in cancer cells and tumours and that this effect is independent of the cells' ability to undergo apoptosis. Our findings may have important implications for the use of DCA as a single anti-cancer agent, as the induction of autophagy by DCA could potentially be experienced by patients in the clinic. Treatment outcomes will be very different in tumours that are undergoing apoptosis vs autophagy, as cells may recover from autophagy, thus prolonging their survival in hostile environments, aiding recovery once the stress is removed and promoting resistance to cancer treatment.
In conclusion, we found that DCA treatment increased ROS production, inhibited the mTOR pathway and induced autophagy in prostate and colorectal cancer cells and xenografts. Further studies are required to examine whether the increased ROS production and/or mTOR inhibition contribute to DCA-induced autophagy. Reduced kPL and lactate excretion were seen in DCA-treated cells and xenografts, and this may be due to the mechanism of drug action of DCA (PDK and MCT-1 inhibition) and/or the autophagic process. Further studies are required to determine how DCA induces changes in molecular signalling pathways and whether these changes are caused by the alterations in cellular metabolism (downstream of PDK inhibition) or vice versa. Increased kPL and lactate excretion recovered on cessation of treatment indicating that these processes are reversible, which could provide a potential marker of resistance to treatment. The use of hyperpolarised [1-13C]pyruvate and 13C-MRS may provide a useful method to monitor the effect of DCA on cancer cells and tumours, non-invasively.
Acknowledgments
We acknowledge the support received from the CRUK and EPSRC Cancer Imaging Centre in association with the MRC and Department of Health (England) grant C1060/A10334, CRUK grant C1060/A16464, also NHS funding to the NIHR Biomedical Research Centre, Chang Gung Medical Foundation (Taiwan) grant CMRPG370441 and MRC-funded studentship (MRC119X). MOL is an NIHR Senior Investigator. We thank Alice Warley at the Kings College London Centre for Ultrastructural Imaging (CUI) for providing facilities for electron microscopy.
References
- Alexander A, Cai SL, Kim J, Nanez A, Sahin M, MacLean KH, Inoki K, Guan KL, Shen J, Person MD, Kusewitt D, Mills GB, Kastan MB, Walker CL. ATM signals to TSC2 in the cytoplasm to regulate mTORC1 in response to ROS. Proc Natl Acad Sci USA. 2010;107 (9):4153–4158. doi: 10.1073/pnas.0913860107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ayyanathan K, Kesaraju S, Dawson-Scully K, Weissbach H. Combination of sulindac and dichloroacetate kills cancer cells via oxidative damage. PLoS One. 2012;7 (7):e39949. doi: 10.1371/journal.pone.0039949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Board M, Humm S, Newsholme EA. Maximum activities of key enzymes of glycolysis, glutaminolysis, pentose phosphate pathway and tricarboxylic acid cycle in normal, neoplastic and suppressed cells. Biochem J. 1990;265 (2):503–509. doi: 10.1042/bj2650503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bonnet S, Archer SL, Allalunis-Turner J, Haromy A, Beaulieu C, Thompson R, Lee CT, Lopaschuk GD, Puttagunta L, Harry G, Hashimoto K, Porter CJ, Andrade MA, Thebaud B, Michelakis ED. A mitochondria-K+ channel axis is suppressed in cancer and its normalization promotes apoptosis and inhibits cancer growth. Cancer Cell. 2007;11 (1):37–51. doi: 10.1016/j.ccr.2006.10.020. [DOI] [PubMed] [Google Scholar]
- Cao W, Yacoub S, Shiverick KT, Namiki K, Sakai Y, Porvasnik S, Urbanek C, Rosser CJ. Dichloroacetate (DCA) sensitizes both wild-type and over expressing Bcl-2 prostate cancer cells in vitro to radiation. Prostate. 2008;68 (11):1223–1231. doi: 10.1002/pros.20788. [DOI] [PubMed] [Google Scholar]
- Chen Y, Azad MB, Gibson SB. Superoxide is the major reactive oxygen species regulating autophagy. Cell Death Differ. 2009;16 (7):1040–1052. doi: 10.1038/cdd.2009.49. [DOI] [PubMed] [Google Scholar]
- Chen Y, Gibson SB. Is mitochondrial generation of reactive oxygen species a trigger for autophagy. Autophagy. 2008;4 (2):246–248. doi: 10.4161/auto.5432. [DOI] [PubMed] [Google Scholar]
- Christensen CE, Karlsson M, Winther JR, Jensen PR, Lerche MH. Non invasive in-cell determination of free cytosolic [NAD+]/[NADH] ratios using hyperpolarized glucose show large variations in metabolic phenotypes. J Biol Chem. 2014;289 (4):2344–2352. doi: 10.1074/jbc.M113.498626. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chung YL, Griffiths JR. Using metabolomics to monitor anticancer drugs. Ernst Schering Found Symp Proc. 2007;4:55–78. doi: 10.1007/2789_2008_089. [DOI] [PubMed] [Google Scholar]
- Chung YL, Griffiths JR.2011Metabolomic Studies on Cancer and on Anticancer Drugs by NMR Ex Vivo in Encyclopedia of Magnetic ResonanceHarris RK, Wasylishen RE, (eds). John Wiley: Chichester; doi: 10.1002/9780470034590emrstm1093. [DOI] [Google Scholar]
- Chung YL, Troy H, Banerji U, Jackson LE, Walton MI, Stubbs M, Griffiths JR, Judson IR, Leach MO, Workman P, Ronen SM. Magnetic resonance spectroscopic pharmacodynamic markers of the heat shock protein 90 inhibitor 17-allylamino,17-demethoxygeldanamycin (17AAG) in human colon cancer models. J Natl Cancer Inst. 2003;95 (21):1624–1633. doi: 10.1093/jnci/djg084. [DOI] [PubMed] [Google Scholar]
- Day SE, Kettunen MI, Gallagher FA, Hu DE, Lerche M, Wolber J, Golman K, Ardenkjaer-Larsen JH, Brindle KM. Detecting tumor response to treatment using hyperpolarized 13C magnetic resonance imaging and spectroscopy. Nat Med. 2007;13 (11):1382–1387. doi: 10.1038/nm1650. [DOI] [PubMed] [Google Scholar]
- Fiebiger W, Olszewski U, Ulsperger E, Geissler K, Hamilton G. In vitro cytotoxicity of novel platinum-based drugs and dichloroacetate against lung carcinoid cell lines. Clin Transl Oncol. 2011;13 (1):43–49. doi: 10.1007/s12094-011-0615-z. [DOI] [PubMed] [Google Scholar]
- Geisler S, Holmstrom KM, Skujat D, Fiesel FC, Rothfuss OC, Kahle PJ, Springer W. PINK1/Parkin-mediated mitophagy is dependent on VDAC1 and p62/SQSTM1. Nat Cell Biol. 2010;12 (2):119–131. doi: 10.1038/ncb2012. [DOI] [PubMed] [Google Scholar]
- Golman K, in't Zandt R, Thaning M. Real-time metabolic imaging. Proc Natl Acad Sci USA. 2006;103 (30):11270–11275. doi: 10.1073/pnas.0601319103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Golman K, Zandt RI, Lerche M, Pehrson R, Ardenkjaer-Larsen JH. Metabolic imaging by hyperpolarized 13C magnetic resonance imaging for in vivo tumor diagnosis. Cancer Res. 2006;66 (22):10855–10860. doi: 10.1158/0008-5472.CAN-06-2564. [DOI] [PubMed] [Google Scholar]
- Han J, Hou W, Goldstein LA, Lu C, Stolz DB, Yin XM, Rabinowich H. Involvement of protective autophagy in TRAIL resistance of apoptosis-defective tumor cells. J Biol Chem. 2008;283 (28):19665–19677. doi: 10.1074/jbc.M710169200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Harris T, Eliyahu G, Frydman L, Degani H. Kinetics of hyperpolarized 13C1-pyruvate transport and metabolism in living human breast cancer cells. Proc Natl Acad Sci USA. 2009;106 (43):18131–18136. doi: 10.1073/pnas.0909049106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hill DK, Jamin Y, Orton MR, Tardif N, Parkes HG, Robinson SP, Leach MO, Chung YL, Eykyn TR. 1H-NMR and hyperpolarized 13C-NMR assays of pyruvate-lactate exhange: a comparative study. NMR Biomed. 2013;26 (10):1321–1325. doi: 10.1002/nbm.2957. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hill DK, Orton MR, Mariotti E, Boult JKR, Panek R, Jafar M, Parkes HG, Jamin Y, Falck Miniotis M, Al-Saffar NMS, Beloueche-Babari M, Robinson SP, Leach MO, Chung YL, Eykyn TR. Model free approach to kinetic analysis of real-time hyperpolarized 13C magnetic resonance spectroscopy data. PLoS One. 2013;8:e71996. doi: 10.1371/journal.pone.0071996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jung CH, Ro SH, Cao J, Otto NM, Kim DH. mTOR regulation of autophagy. FEBS Lett. 2010;584 (7):1287–1295. doi: 10.1016/j.febslet.2010.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kroemer G, Marino G, Levine B. Autophagy and the integrated stress response. Mol Cell. 2010;40 (2):280–293. doi: 10.1016/j.molcel.2010.09.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kumar A, Kant S, Singh SM. Novel molecular mechanisms of antitumor action of dichloroacetate against T cell lymphoma: Implication of altered glucose metabolism, pH homeostasis and cell survival regulation. Chem -Biol Interact. 2012;199 (1):29–37. doi: 10.1016/j.cbi.2012.06.005. [DOI] [PubMed] [Google Scholar]
- Kumar K, Wigfield S, Gee HE, Devlin CM, Singleton D, Li JL, Buffa F, Huffman M, Sinn AL, Silver J, Turley H, Leek R, Harris AL, Ivan M. Dichloroacetate reverses the hypoxic adaptation to bevacizumab and enhances its antitumor effects in mouse xenografts. J Mol Med. 2013;91 (6):749–758. doi: 10.1007/s00109-013-0996-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lin G, Andrejeva G, Wong Te Fong A-C, Hill DK, Orton MR, Parkes HG, Dow D-M, Robinson SP, Leach MO, Eykyn TR, Chung Y-L. Reduced Warburg effect in cancer cells undergoing autophagy: steady- state 1H-MRS and real-time hyperpolarized 13C-MRS studies. PLoS One. 2014;9 (3):e92645. doi: 10.1371/journal.pone.0092645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu L, Wise DR, Diehl JA, Simon MC. Hypoxic reactive oxygen species regulate the integrated stress response and cell survival. J Biol Chem. 2008;283 (45):31153–31162. doi: 10.1074/jbc.M805056200. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Madhok BM, Yeluri S, Perry SL, Hughes TA, Jayne DG. Dichloroacetate indcues apoptosis and cell-cycle arrest in colorectal cancer cells. BJC. 2010;102 (12):1746–1752. doi: 10.1038/sj.bjc.6605701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Michelakis ED, Sutendra G, Dromparis P, Webster L, Haromy A, Niven E, Maguire C, Gammer TL, Mackey JR, Fulton D, Abdulkarim B, McMurtry MS, Petruk KC. Metabolic modulation of glioblastoma with dichloroacetate. Sci Transl Med. 2010;2 (31):31ra34. doi: 10.1126/scitranslmed.3000677. [DOI] [PubMed] [Google Scholar]
- Narendra DP, Jin SM, Tanaka A, Suen DF, Gautier CA, Shen J, Cookson MR, Youle RJ. PINK1 is selectively stabilized on impaired mitochondria to activate Parkin. PLoS Biol. 2010;8 (1):e1000298. doi: 10.1371/journal.pbio.1000298. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Park JM, Recht LD, Recht, Josan S, Merchant M, Jang T, Yen Y-F, Hurd RE, Daniel M, Spielman DM, Mayer D. Metabolic response of glioma to dichloroacetate measured in vivo by hyperpolarized 13C magnetic resonance spectroscopic imaging. Neuro-oncol. 2013;15 (4):433–441. doi: 10.1093/neuonc/nos319. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rabinowitz JD, White E. Autophagy and metabolism. Science. 2010;330:1344–1348. doi: 10.1126/science.1193497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rzymski T, Milani M, Singleton DC, Harris AL. Role of ATF4 in regulation of autophagy and resistance to drugs and hypoxia. Cell Cycle. 2009;8 (23):3838–3847. doi: 10.4161/cc.8.23.10086. [DOI] [PubMed] [Google Scholar]
- Sanchez WY, McGee SL, Connor T, Mottram B, Wilkinson A, Whitehead JP, Vuckovic S, Catley L. Dichloroacetate inhibits aerobic glycolysis in multiple myeloma cells and increases sensitivity to bortezomib. Br J Cancer. 2013;108 (8):1624–1633. doi: 10.1038/bjc.2013.120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Santidrian AF, Matsuno-Yagi A, Ritland M, Ritland M, Seo BB, LeBoeuf SE, Gay LJ, Yagi T, Felding-Habermann B. Mitochondrial complex I activity and NAD+/NADH balance regulate breast cancer progression. J Clin Invest. 2013;123 (3):1068–1081. doi: 10.1172/JCI64264. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Scherz-Shouval R, Shvets E, Fass E, Shorer H, Gil L, Elazar Z. Reactive oxygen species are essential for autophagy and specifically regulate the activity of Atg4. Embo J. 2007;26 (7):1749–1760. doi: 10.1038/sj.emboj.7601623. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seth P, Grant A, Tang J, Vinogradov E, Wang X, Lenkinski R, Sukhatme VP. On-target inhibition of tumor fermentative glycolysis as visualized by hyperpolarized pyruvate. Neoplasia. 2011;13 (1):60–71. doi: 10.1593/neo.101020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shen YC, Ou DL, Hsu C, Lin KL, Chang CY, Lin CY, Liu SH, Cheng AL. Activating oxidative phosphorylation by a pyruvate dehydrogenase kinase inhibitor overcomes sorafenib resistance of hepatocellular carcinoma. Br J Cancer. 2013;108 (1):72–81. doi: 10.1038/bjc.2012.559. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sitter B, Sonnewald U, Spraul M, Fjosne HE, Gribbestad IS. High-resolution magic angle spinning MRS of breast cancer tissue. NMR Biomed. 2002;15 (5):327–337. doi: 10.1002/nbm.775. [DOI] [PubMed] [Google Scholar]
- Sun RC, Board PG, Blackburn AC. Targeting metabolism with arsenic trioxide and dichloroacetate in breast cancer cells. Mol Cancer. 2011;10:142. doi: 10.1186/1476-4598-10-142. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sun RC, Fadia M, Dahlstrom JE, Parish CR, Board PG, Blackburn AC. Reversal of the glycolytic phenotype by dichloroacetate inhibits metastatic breast cancer cell growth in vitro and in vivo. Breast Cancer Res Treat. 2010;120 (1):253–260. doi: 10.1007/s10549-009-0435-9. [DOI] [PubMed] [Google Scholar]
- Sun W, Zhou S, Chang SS, McFate T, Verma A, Califano JA. Mitochondrial mutations contribute to HIF1alpha accumulation via increased reactive oxygen species and up-regulated pyruvate dehydrogenease kinase 2 in head and neck squamous cell carcinoma. Clin Cancer Res. 2009;15 (2):476–484. doi: 10.1158/1078-0432.CCR-08-0930. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tong J, Xie G, He J, Li J, Pan F, Liang H. Synergistic antitumor effect of dichloroacetate in combination with 5-fluorouracil in colorectal cancer. J Biomed Biotechnol. 2011;2011:740564. doi: 10.1155/2011/740564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tyagi RK, Azrad A, Degani H, Salomon Y. Simultaneous extraction of cellular lipids and water-soluble metabolites: evaluation by NMR spectroscopy. Magn Reson Med. 1996;35 (2):194–200. doi: 10.1002/mrm.1910350210. [DOI] [PubMed] [Google Scholar]
- Ward CS, Venkatesh HS, Chaumeil MM, Brandes AH, Vancriekinge M, Dafni H, Sukumar S, Nelson SJ, Vigneron DB, Kurhanewicz J, James CD, Haas-Kogan DA, Ronen SM. Noninvasive detection of target modulation following phosphatidylinositol 3-kinase inhibition using hyperpolarized 13C magnetic resonance spectroscopy. Cancer Res. 2010;70 (4):1296–1305. doi: 10.1158/0008-5472.CAN-09-2251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Williamson DH, Lund P, Krebs HA. The redox state of free nicotinamide-adenine dinucleotide in the cytoplasm and mitochondria of rat liver. Biochem J. 1967;103 (2):514–527. doi: 10.1042/bj1030514. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Witney TH, Kettunen MI, Brindle KM. Kinetic modeling of hyperpolarized 13C label exchange between pyruvate and lactate in tumor cells. J Biol Chem. 2011;286 (28):24572–24580. doi: 10.1074/jbc.M111.237727. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wong CH, Iskandar KB, Yadav SK, Hirpara JL, Loh T, Pervaiz S. Simultaneous induction of non-canonical autophagy and apoptosis in cancer cells by ROS-dependent ERK and JNK activation. PLoS One. 2010;5 (4):e9996. doi: 10.1371/journal.pone.0009996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Workman P, Aboagye EO, Balkwill F, Balmain A, Bruder G, Chaplin DJ, Double JA, Everitt J, Farningham DA, Glennie MJ, Kelland LR, Robinson V, Stratford IJ, Tozer GM, Watson S, Wedge SR, Eccles SA, Committee of the National Cancer Research Institute Guidelines for the welfare and use of animals in cancer research. Br J Cancer. 2010;102 (11):1555–1577. doi: 10.1038/sj.bjc.6605642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhang L, Yu J, Park BH, Kinzler KW, Vogelstein B. Role of BAX in the apoptotic response to anticancer agents. Science. 2000;290 (5493):989–992. doi: 10.1126/science.290.5493.989. [DOI] [PubMed] [Google Scholar]