Lactate/pyruvate transporter MCT-1 is a direct Wnt target that confers sensitivity to 3-bromopyruvate in colon cancer
© The Author(s). 2016
Received: 4 May 2016
Accepted: 12 September 2016
Published: 3 October 2016
There is increasing evidence that oncogenic Wnt signaling directs metabolic reprogramming of cancer cells to favor aerobic glycolysis or Warburg metabolism. In colon cancer, this reprogramming is due to direct regulation of pyruvate dehydrogenase kinase 1 (PDK1) gene transcription. Additional metabolism genes are sensitive to Wnt signaling and exhibit correlative expression with PDK1. Whether these genes are also regulated at the transcriptional level, and therefore a part of a core metabolic gene program targeted by oncogenic WNT signaling, is not known.
Here, we identify monocarboxylate transporter 1 (MCT-1; encoded by SLC16A1) as a direct target gene supporting Wnt-driven Warburg metabolism. We identify and validate Wnt response elements (WREs) in the proximal SLC16A1 promoter and show that they mediate sensitivity to Wnt inhibition via dominant-negative LEF-1 (dnLEF-1) expression and the small molecule Wnt inhibitor XAV939. We also show that WREs function in an independent and additive manner with c-Myc, the only other known oncogenic regulator of SLC16A1 transcription. MCT-1 can export lactate, the byproduct of Warburg metabolism, and it is the essential transporter of pyruvate as well as a glycolysis-targeting cancer drug, 3-bromopyruvate (3-BP). Using sulforhodamine B (SRB) assays to follow cell proliferation, we tested a panel of colon cancer cell lines for sensitivity to 3-BP. We observe that all cell lines are highly sensitive and that reduction of Wnt signaling by XAV939 treatment does not synergize with 3-BP, but instead is protective and promotes rapid recovery.
We conclude that MCT-1 is part of a core Wnt signaling gene program for glycolysis in colon cancer and that modulation of this program could play an important role in shaping sensitivity to drugs that target cancer metabolism.
KeywordsMonocarboxylate transporter 1 (MCT-1) SLC16A1 Wnt signaling Colon cancer Metabolism 3-Bromopyruvate XAV939
Canonical Wnt signaling regulates the fate and activities of cells through the actions of β-catenin, a nuclear-localizing mediator that can activate the transcription of Wnt target genes important in cell growth and proliferation. A chronic increase in the cellular levels of β-catenin can occur through oncogenic activation of the Wnt signal transduction pathway, a condition that leads to aberrant and elevated expression of Wnt target genes. Constitutive Wnt target gene expression is an abnormal condition that can transform cells and cause cancer, including colon cancer, a disease defined by epithelial cell transformation within the intestine. Colon cancer most commonly derives from chronic activation of the canonical Wnt signaling pathway through mutations of components in the destruction complex, a multi-subunit regulator in the cytoplasm that degrades β-catenin to maintain appropriate, physiological levels [1–4]. Nuclear-localized β-catenin activates target gene expression via direct binding to LEF/TCF transcription factors, a family of four DNA binding proteins that occupy distinct gene targets (i.e., gene programs) and direct specific phenotypes and functions of cells. Gene programs identified to be altered by oncogenic Wnt signaling include cell cycle progression, epithelial-mesenchymal transition (EMT), angiogenesis, migration, cell survival, and most recently discovered by our group, metabolism [5–8].
Many groups have used overexpression of dominant-negative isoforms of LEF/TCF transcription factors (dnLEF/TCFs) in multiple contexts and model systems to identify Wnt target genes [5, 6, 9, 10]. These shorter forms retain the capabilities of full length LEF/TCFs to occupy Wnt response elements (WREs) throughout the genome, but they lack the ability to recruit β-catenin. Interference by these dominant-negative isoforms represses target gene transcription, and thus, genome-wide expression analysis of downregulated transcription can reveal candidate target genes and the gene programs with which they are associated. We used this type of analysis in colon cancer cells to discover that Wnt signaling promotes tumor cell preferences for aerobic glycolysis/Warburg metabolism, with the Wnt target gene pyruvate dehydrogenase kinase 1 (PDK1) playing a significant role in this metabolic fate . In that study, we also observed additional metabolism-linked genes to be sensitive to dnLEF/TCF expression, suggesting that Wnt signaling coordinately regulates PDK1 within a larger gene program. One of the additional genes affected was monocarboxylate transporter 1 (SLC16A1, encoding the protein MCT-1), a known lactate transporter observed to be upregulated in many cancers [11, 12]. qRT-PCR analysis of xenograft tumors from a colon cancer cell line showed MCT-1 downregulation in the presence of dnLEF/TCFs, and ChIP-seq ENCODE data shows TCF-4 occupancy of SLC16A1 in HCT116 colon cancer cells . These preliminary findings strongly implicate MCT-1 as a direct Wnt target gene that might be coordinately regulated with PDK1. Here, we investigate this possibility and show that MCT-1/SLC16A1 is a direct target gene of β-catenin-LEF/TCF complexes in colon cancer cells.
MCT-1 is one of 14 members of the SLC16 family of transporters . While the functions of many MCT family members remain uncharacterized, MCT-1 through MCT-4 is confirmed proton-linked monocarboxylic acid transporters . These four family members have been shown to transport monocarboxylates including acetoacetate, β-hydroxybutyrate, short chain fatty acids, pyruvate, and lactate. In a normal setting, MCTs are necessary for lactate efflux from highly glycolytic/hypoxic muscle fibers during exercise, and also reabsorption or uptake of monocarboxylates from the gut, liver, and kidney for gluconeogenesis or lipogenesis—activities tightly linked to aerobic and anaerobic glycolysis . MCT-1 has a reasonably strong affinity for lactate compared to the other MCTs (Km of 2.5–4.5 mM, compared to MCT-2 Km = 0.7 mM; MCT-3 Km = 6 mM; MCT-4 Km = 17–34 mM), and it is broadly expressed, while other MCT family members are localized to specific regions of the body at varying levels of expression [13, 15].
While increased expression of MCT-1 in response to the physiological stresses of exercise and physical stimulation has been well defined, the molecular mechanisms that govern its expression are still poorly understood. At the transcriptional level, the SLC16A1 promoter contains nuclear factor of activated T-cells (NFAT)-binding sequences , but the significance of these elements is unknown. In rat skeletal muscle tissues, PGCα (a transcriptional co-activator linked to regulation of genes involved in energy metabolism) has been associated with MCT-1 upregulation in response to muscle activity . However, no follow-up studies have been conducted to determine whether the SLC16A1 promoter is subject to direct activation. The ribonucleotide metabolite and AMP-activated protein kinase (AMPK) activator, 5-aminoimidazole-4-carboxamide-1-β-d-ribonucleoside (AICAR), has been shown to upregulate or downregulate SLC16A1 promoter activity depending on the study and tissue context . Likewise, butyrate, another metabolite and energy source for the colon epithelium has been identified to enhance transcription and transcript stability of SLC16A1 mRNA , but the mechanisms and responsive genomic regions behind these effects are not known. Finally, hypoxia was shown to upregulate MCT-1 in human adipocytes , but this is a singular example. In most tissues and cell lines studied, MCT-1 expression is not affected by hypoxia . Instead, MCT-4 is considered to be the main transcriptional responder to hypoxia as multiple, high affinity HIF response elements (HREs) have been identified in its promoter and hypoxic expression has been demonstrated in many tissues .
The observation that MCT-1 expression is increased in cancer has led to studies focused on its regulation in cancer cells. For example, the tumor suppressor p53 directly binds to the MCT-1 promoter for transcription repression, and therefore, the loss of p53 in cancer cells enables MCT-1 mRNA production . c-Myc also directly regulates MCT-1 transcription, especially in cancer cells where high levels of c-Myc drive metabolic pathways . A common theme among cancer cells is the use of elevated MCT-1 expression to support the glycolytic preference of cells via its ability to export lactate. This export minimizes the cellular stresses from acid buildup and maintains proper intracellular pH, activities crucial to cancer cell survival . Alternatively, a recent study found that MCT-1 primarily exports pyruvate, where co-expressed MCT-4 plays the dominant role in exporting lactate . This function appears to promote glycolysis as inhibition of MCT-1 transporter activity or downregulation of its protein levels leads to increased oxidative phosphorylation and decreased proliferation . Taken together, no matter the precise actions of its transporter functions, the use of MCT-1-specific inhibitors has shown this transporter to be a key player in cancer cell metabolism, survival, and proliferation, making it a potentially important candidate target in glycolytic cancer cells .
Recent findings highlight how MCT-1 overexpression may be an exploitable feature for cancer therapy. Birsoy et al. have shown that breast cancer cells expressing MCT-1 are sensitive to 3-bromopyruvate (3-BP), a molecule that can have anti-proliferative effects by targeting glycolytic enzymes and other metabolic pathways . Like its parent molecule pyruvate, 3-BP must be transported across the plasma membrane. Birsoy et al. used genome-wide screening to discover that 3-BP is imported into cells strictly through MCT-1 and no other transporter or alternative pathway. Whether this makes MCT-1 expression the single most important biomarker for determining tumor sensitivity to 3-BP is not yet known, as its precise mode of action has not been defined and only breast cancer cells were used in the study. Nevertheless, there are several case reports documenting the use of this compound in cancer patients, underscoring the importance of understanding how SLC16A1 gene expression is regulated [27, 28]. Here, we show that MCT-1/SLC16A1 is a direct Wnt target gene coordinately regulated with other genes that promote glycolysis in colon cancer cells. We define a region in the upstream promoter with at least two WREs and show that the endogenous gene is sensitive to dnLEF/TCF inhibition in multiple colon cancer cell lines. We show that transcriptional regulation by β-catenin/LEF/TCFs is separate and additive with c-Myc action. We demonstrate that colon cancer cells are sensitive to 3-BP and that the sensitivity tracks partially, but not completely, with the strength of oncogenic Wnt signaling. Finally, we show that Wnt signaling inhibitors do not synergize with 3-BP to suppress proliferation, but instead interfere with the anti-proliferative effects of 3-BP and provide a resistance mechanism for colon cancer cells.
Results and Discussion
MCT-1 is regulated by Wnt signaling
Our recent discovery showing that Wnt signaling directs colon cancer cells to utilize glycolysis specifically focused on Wnt regulation of target gene pyruvate dehydrogenase kinase 1 (PDK1), a mitochondrial kinase that suppresses pyruvate uptake by mitochondria to favor conversion to lactate in the cytoplasm. We utilized a microarray analysis of dnLEF/TCF isoform induction in the colon cancer cell line DLD-1 to reveal novel roles of Wnt signaling in colon cancer. Gene ontology analysis of the entire gene expression dataset revealed that additional metabolic genes might be coordinately regulated with PDK1 and might contribute to the effect Wnt signaling has on tumor cell metabolism. In this study, we focus on the lactate transporter SLC16A1/MCT-1 because it lies downstream of PDK1 and glycolysis to export metabolites such as lactate, and because it is the importer of 3-BP. We ask if MCT-1 is directly regulated by β-catenin/LEF/TCF complexes and if this regulation is an important consideration for cancer therapies that target metabolism.
Since there are four SLC16 family members that are known to export lactate (MCT1-4), we asked whether any of these were also downregulated after inhibiting Wnt signaling. We used qRT-PCR analysis to assess the expression of the four genes (MCT-1, MCT-2, MCT-3, and MCT-4) in SW480, SW620, HCT116, and DLD-1 cells under the previously mentioned conditions. We found that both SLC16A7/MCT-2 and SLC16A8/MCT-3 were undetectable in these four cell lines. SLC16A3/MCT-4 mRNA was easily detected, but there were no statistically significant changes in levels upon inhibition of Wnt signaling, (albeit SLC16A3/MCT-4 was not detected in HCT116 cells; Fig. 1a–d). We also tested for differences at the protein level using western blot analysis. MCT-1 levels were reduced by 20–40 % for SW480, SW620, and HCT116 cells, similar to the reduction observed at the mRNA level (Fig. 1a–c). In contrast, DLD-1 cells showed a twofold increase in protein level with dnLEF-1 expression, suggesting that MCT-1 may be regulated differently in this cell line compared to the others, possibly as unique compensatory changes unfold under stable, chronic expression of dnLEF1 (Fig. 1d). We also tested for MCT-1 expression following acute interference of Wnt signaling. The small molecule inhibitor XAV939 acts by suppressing tankyrase 1/2—poly-ADP-ribosylating enzymes that de-stabilize the destruction complex via PARsylation-directed ubiquitination of axin, a key scaffolding subunit . XAV939 can therefore trigger a rapid decrease in β-catenin levels via increased activity of the destruction complex. We treated each cell line with XAV939 for 24 h and used qRT-PCR to quantitate mRNA levels (Additional file 1: Figure S1). Cell lines were treated with XAV939 for 24 and 72 h for western blot analysis to quantitate β-catenin and MCT-1 protein levels, respectively (Additional file 1: Figure S1). We observed that MCT-1 expression was significantly reduced in all four cell lines.
MCT-1 is a direct target of Wnt signaling
Two c-Myc binding sites have been previously identified within the promoter region of the gene (−624 to the transcription start site) and shown to regulate SLC16A1 transcription . Since c-Myc is a well-established Wnt target gene, we asked whether c-Myc and LEF/TCF-β-catenin complexes synergize mechanistically to activate RNA polymerase II transcription of the SLC16A1 locus. To examine this, we transfected the SLC16A1 reporter into SW480, SW620, and DLD-1 cells and then treated the cultures with an increasing dose of the small molecule c-Myc inhibitor 10058-F4, which prevents c-Myc-Max interaction. The inhibitor reduced promoter activity in all lines at similar IC50, with DLD-1 cultures showing a modest level of decrease in sensitivity (Fig. 3f–h). A parallel set of cultures in which dnLEF1 was expressed to partially lower Wnt signaling were treated with the same dose response regimen (Fig. 3f–h). While the combination of Wnt and c-Myc inhibition had clear, additive effects on transcription, there was no significant difference in the IC50 for 10058-F4 alone compared to its effects in the presence of dnLEF-1. This result suggests that c-Myc:Max and LEF/TCF-β-catenin actions influence the same or similar steps of transcription.
Wnt signaling inhibition increases colon cancer cell resistance to 3-bromopyruvate
Targeting metabolism is a promising avenue for treatment of colon cancer, and 3-bromopyruvate is a toxic small molecule that targets multiple enzymes in glycolysis, particularly in cells exhibiting high rates of Warburg metabolism [26, 39]. High levels of glycolysis result in the accumulation of metabolic products that alter intracellular pH, generating high levels of H+ that unless eliminated, would cause cell death. MCT proteins such as MCT-1 and MCT-4 can rid cancer cells of H+ via proton-coupled export of lactate, the “waste” end product of glycolysis, providing an important survival function for cancer cells. Also, MCT-1 is a pyruvate transporter, and as such can modulate the relative levels of glycolysis and oxidative phosphorylation. Thus, cells that have high levels of glycolytic activity tend to exhibit strong expression of MCT-1 and/or MCT-4 . Studies with breast cancer cell lines show that 3-BP enters cells specifically and only through MCT-1. Signaling pathways and microenvironmental influences that regulate MCT-1 expression are therefore extremely important considerations for determining tumor sensitivities to this promising anti-cancer agent .
The discovery that Wnt signaling drives oncogenesis in many tumor types (including over 80 % of colorectal cancers) has inspired the development of small molecule inhibitors to target the pathway. Even though there is concern that Wnt signaling is necessary for stem cell compartments in normal tissues and therefore inhibitors will be deleterious and not tolerated, therapeutic windows have been demonstrated in animal experiments where Wnt-driven oncogenesis has been suppressed without general toxicity . Thus, the therapeutic relevance of inhibiting the Wnt pathway in cancer remains, and multiple drugs that inhibit Wnt signaling are showing promise for clinical application (e.g., inhibitors of Wnt secretion, tankyrase 1/2 inhibitors, and inhibitors of β-catenin interactions) . Here, we used XAV939 (a tankyrase inhibitor that promotes axin stabilization) to reduce Wnt signaling in the presence or absence of a metabolic inhibitor. XAV939, as well as a similar-acting compound called IWR-1, inhibits Wnt signaling downstream of ligand-receptor interaction at the level of the destruction complex. The destruction complex is a large, multi-subunit complex in the cytoplasm that targets β-catenin for degradation . XAV939 treatment acts to stabilize the destruction complex and promote β-catenin degradation. Both XAV939 and IWR-1 are currently in pre-clinical development , though the low potency of these specific molecules has prompted the development of second generation drugs that target axin stabilization. For example, tankyrase inhibitors such as GM244-LM, a XAV939 analogue, and G007-LK are in the pipeline, both with greater specificity to tankyrase 1 and 2 [42, 44]. Interestingly, XAV939 increases sensitivity to chemotherapeutic drugs 5-fluorouracil and cisplatin in SW480 and SW620 cells, suggesting that Wnt inhibitors might be good candidates for combination with standard-of-care therapies , or possibly with new therapies that target metabolism such as 3-BP. Our work adds a note of caution to this latter idea as we show here that Wnt signaling is pivotal in upregulating the expression of MCT-1, the very transporter that 3-BP needs to gain access to cells.
Whether the level of Wnt signaling is the single most important indicator for cell sensitivity to 3-BP depends on understanding whether alternative modes exist for regulation of MCT-1 and whether the toxic activities of 3-BP target different processes inside cells. Our studies show that MCT-1 mRNA and protein levels largely correlated with Wnt signaling but that DLD-1 cells were an exception. DLD-1 cells are the most sensitive to 3-BP (IC50 = 23 μm), even though this cell line has low Wnt signaling. In fact, these cells have relatively high levels of MCT-1 mRNA and protein, similar to those in the Wnt Hi SW480 cells (Fig. 2). There were also differences in the way the SLC16A1 promoter responded to c-Myc and dnLEF-1 inhibition. The promoter had a slightly lower sensitivity to the c-Myc inhibitor (IC50 of 34 μM compared to SW480 cells (18 μM) and SW620 cells (10 μM)). To note, dnLEF-1 expression only made a noticeable difference at the lowest concentration of c-Myc inhibitor (Fig. 3), suggesting that there are relative differences in the way β-catenin/LEF and c-Myc contribute to promoter activity in DLD-1 cells. In general, c-Myc regulates two different kinetic steps of transcription at promoters: an early step of polymerase recruitment and initiation complex assembly, and pause-release at a later, downstream step . Perhaps, the kinetics and contributions of these steps differ between DLD-1 and other cells. Whatever the mechanistic differences at the promoter, MCT-1 expression and by implication, 3-BP import potential, may have more to do with c-Myc than Wnt signaling in DLD-1 cells.
Finally, our data highlight interesting patterns of colon cancer cell growth when Wnt signaling inhibitors are combined with 3-BP treatment. Our hypothesis was that if MCT-1 is a target of Wnt signaling, and if MCT-1 transport is the mechanism by which 3-BP gains access to colon cancer cells, then inhibition of Wnt signaling should reduce sensitivity to 3-BP. We confirmed this hypothesis in the four cell lines, with the most obvious and notable effects emerging in SW480 and HCT116 cells. In these two cell lines, the IC50 for 3-BP inhibition was significantly shifted to higher concentrations when XAV939 was included in the cultures. Interestingly, even using concentrations of 3-BP that were so high as to reduce cell numbers to below the point of detection (300 μM), we observed that XAV939 co-treatment allowed cultures to recover better and faster after the drugs were washed out. It is particularly notable that even though XAV939 had only a small, albeit significant effect on protection in SW620 cells (Fig. 5b, d), its protective effects were more noticeable after the drug was removed (Fig. 6c). Meaning, even though there was no detectable live cells after 5 days of 3-BP treatment, XAV939-treated cultures retained a small number of viable cells which then recovered better and faster over the next 5 days. We speculate that XAV939 triggers adaptations that confer faster recovery and cell cycle progression. This possibility points to the caveats that can arise when two classes of drugs are combined. These data also suggest that the heterogeneous patterns of Wnt signaling that have been observed in primary human colon cancer, and within the tumor microenvironment, will directly affect the efficacy of 3-BP and its derivatives.
Colon cancer cell lines were grown under the following conditions: SW480 and SW620 were cultured in Dulbecco’s modified Eagle’s medium (DMEM; Fisher SH3008102) supplemented with 10 % fetal bovine serum (FBS; Atlas FP-0500-A) and 2 mM glutamine (Fisher MT-25-005-CI). HCT116 and DLD-1 were cultured in RPMI-1640 medium (Fisher MT15040CM) supplemented with 10 % FBS and 2 mM glutamine. Doxycycline-inducible DLD-1 cells were created by transfecting Tet-inducible dnLEF-1N into DLD-1 TR7 cells (a generous gift from M. van de Wetering and H. Clevers) as previously described . The induction of dnLEF-1 was achieved through addition of 0.01 μg/ml doxycycline to the media. Lentiviral constructs were cloned via Cold Fusion (System Biosciences) by inserting the coding sequence for flag-tagged dnLEF-1N into pCDH lentivector (System Biosciences; SBI CD533A-2). See “Luciferase reporter plasmid cloning” section for details regarding TK and SLC16A1 reporters.
Lentiviral preparation and infection
Lentiviruses were prepared using System Biosciences lentivirus technology. Two-hundred ninety-three TN cells (System Biosciences (SBI) LV900A-1) were seeded in 150-mm plates at 7.5 × 106 cells per plate with 20 mL DMEM without antibiotics for 24 h. Cells were then transfected with 22.5 μg pPACKH1 HIV packaging mix (SBI LV500A-1) and 4.5 μg of pCDH lentiviral vector using BioT transfection reagent. Viral supernatant was collected 48 and 72 h post-transfection. After centrifugation for 15 min at 3000×g to remove debris, 1× PEG-it (SBI LV810A-1) was added to precipitate virus. After incubation at 4 °C for at least 16 h, centrifugation (30 min at 1500×g) was used to collect viral particles. Virus was resuspended in a small volume (300–500 μL) 1× phosphate buffered saline (PBS) and titered using the Global UltraRapid Lentiviral Titer Kit (SBI LV961A-1). Transduction of target cells was performed according to manufacturer’s protocol (SBI). Briefly, cells were seeded at 1.0 × 105 cells per 12-well or 2.5 × 105 cells per six-well plate. After 24 h, cells were treated with fresh media, 1× TransDux (SBI LV850A-1), and lentivirus at a multiplicity of infection (MOI) of 10. MOI was determined using previously published methods. Infected cells were collected for subsequent assays after 72 h.
Total RNA was isolated with Trizol from SW480 and SW620 expressing dnLEF-1. HCT116 cells were lentivirally transduced with dnLEF-1, and total RNA was isolated with Trizol 72 h post transduction. Total RNA was isolated with Trizol from DLD-1 cells after treatment with doxycycline for 72 h. A total of 2 μg of RNA were reverse transcribed using random primers according to the high capacity cDNA reverse transcription kit (Invitrogen 4374966). Real-time quantitative PCR (qRT-PCR) was performed with Maxima SYBR Green/ROX qPCR Master Mix (Fisher K0223). Relative change in gene expression was calculated using the ΔΔCt method using GAPDH expression for normalization. Statistical evaluation was performed by Student’s unpaired t test. p < 0.05 was considered statistically significant.
Primer pairs used for real-time PCR analysis include human GAPDH (5′-TCGACAGTCAGCCGCATCTTCTT-3′) and reverse (5′-GCGCCCAATACGACCAAATCC-3′), human MCT-1 forward (5′-CACCGTACAGCAACTATACG-3′) and reverse (5′-CAATGGTCGCCTCTTGTAGA-3′), human MCT-2 forward (5′-GGCTGGTTCCCTCATGAGAC-3′) and reverse (5′-GCTACCACAATAGCCCCAC-3′), human MCT-3 forward (5′-TCGTGGGCTTCGTGGACAT-3′) and reverse (5′-GCACAACGCAGGCAGCAGTT-3′), human MCT-4 forward (5′-ATTGGCCTGGTGCTGCTGATG-3′) and reverse (5′-CGAGTCTGCAGGAGGCTTGTG-3′).
Western blot analysis
Cell lysates were prepared according to previously published methods  and 40 μg of lysate were analyzed by Western blot using the following antibodies: Lamin A/C (1:1000 Cell Signaling 2032), β-Tubulin (1:1000 GeneTex GTX107175), MCT-1 (1:1000 Santa Cruz SC-50324), β-catenin (1:1000 Cell Signaling #8480), and secondary antibody (1:5000 anti-rabbit IgG-horseradish peroxidase; Genesee 84-852). Blots were exposed to SuperSignal West Dura (Fisher PIA34075) and imaged on the Syngene GBox XL1.4 Imaging System.
14C Pyruvate uptake assay
SW480 cells were seeded at 4.0 × 104 per 24-well 24 h prior to treatment. Cells were treated with 10 μM XAV939 or control DMSO in phenol-free DMEM. After 72 h of treatment, the 14C pyruvate-labeled uptake assay was performed at room temperature. Cells were first rinsed with room temperature HBSS (pH 6 with MES) and then incubated with 1 mM sodium pyruvate in HBSS with or without 0.5 μCi/mL 14C Pyruvate (Perkin Elmer NEC256050UC) for 0, 2, 15, 30, or 60 min. Following the incubation, the plates were placed on ice blocks to stop transport and rinsed with cold HBSS (pH 6 with MES). A cold stop solution of 2.2 mM HEPES and 0.21 M KCL was added to each well followed by cold 0.3 N NaOH with 0.1 % Triton-X. Plates were incubated at room temperature overnight prior to performing scintillation counts to collect CPM numbers for each sample. CPM numbers were normalized by protein via Bradford assay (Bio-Rad Quick Start 1× Bradford Dye 5000205). Statistical evaluation was performed by Student’s unpaired two tailed t test with p < 0.05 considered statistically significant.
Luciferase reporter plasmid cloning
To create a luciferase reporter plasmid driven by the human SLC16A1 or herpes virus thymidine kinase promoter, 5′ flanking sequences of the primers (see below; lower case) were designed for complementarity to the pGL2 or tkLUC vector backbone for use with a Cold Fusion cloning schema (Cold Fusion Cloning; System Biosciences). Human placental DNA was used as template for PCR amplification of the SLC16A1 gene core promoter using Pfu Turbo polymerase. The PCR fragment and SmaI-digested pGL2 vector was purified following the manufacturer’s protocol (GeneJET Gel Extraction Kit, Fisher K0691), and ligations were performed with an insert/plasmid ratio of 1:2 with Cold Fusion reagents. Clones were verified by sequencing. The following PCR primers were used:
Forward primer (−1604), upper case sequence is genomic, and lower case sequence is complementary to pGL2): 5′-gag cta aca taa ccc TCC TGG GAT TCA TCT TAT TT-3′
Reverse primer (+1045), upper case sequence is genomic, and lower case sequence is complementary to pGL2): 5′-agc tcg gta cct ccc tAT CCT CCA GAT TTC TCT CA-3′
The following PCR primer sequences were used to amplify a region identified as occupied by TCF-1, for cloning 5′ of the heterologous herpes virus tk promoter (tkLUC):
Primers designed for amplification and insertion into a plasmid backbone containing a minimal Herpes Virus thymidine kinase reporter (at BamHI):
ChIP Peak (486 nt; chromosome 1 113499604-113500089)
Forward primer (upper case sequence is genomic, and lower case is complementary to tkLUC):
5′-atc tta tca tgt ctg TCC TGG CAA GCA GCA-3′
Reverse primer (upper case sequence is genomic, and lower case is complementary to tkLUC):
5′-ctc gga ccc cgg atc GTG GGT TGG GGT GTG-3′
Cells were seeded at 2.5 × 105 per six-well 24 h prior to transfection. Each well was transfected with 0.5 μg M50 Super 8×TOPflash (a gift from Dr. RT Moon; Addgene plasmid 12456), TK, or SLC16A1 luciferase reporters and 0.1 μg thymidine kinase β-galactosidase plasmid using BioT transfection reagent (Bioland Scientific B01-02). Cells were transfected with 0.01 μg/mL dnLEF-1 and/or treated with 10 μM XAV939 at the time of reporter transfection where indicated. Cells were harvested 24-h post transfection and assayed for luciferase activity and β-galactosidase activity (used for normalization). Statistical evaluation was performed by Student’s unpaired t test. p < 0.05 was considered statistically significant.
Sulforhodamine B (SRB) cell growth assay
For 3-bromopyruvate dose-response curves, SW480 and SW620 cells were seeded in 96-well plates at 5000 cells per well with eight replicates for each condition. HCT116 and DLD-1 cells were seeded in 96-well plates at 2500 cells per well, optimized to obtain confluent cultures around day 7 of each experiment, with eight replicates for each condition. Twenty-four hours after seeding, cells were pre-treated with 10 μM XAV939 for 48 h, followed by 3-BPr for a period of 96 h. Cells were then fixed 96 h after 3-BPr treatment and stained with sulforhodamine B according to published protocols  with optical density readings performed at 492 nm.
For drug wash-out survival assays, cells were seeded in 96-well plates at 5000 cells per well with eight replicates for each condition. Twenty-four hours after seeding, cells were treated for a period of 96 h (4 days). On day 5, media containing treatment was removed and replaced with media containing no treatment to begin “recovery” period. Cells were fixed on days 5–10, with days 0–5 considered post wash-out, and stained according to published protocols . Optical density readings were performed at 492 nm.
Statistical evaluation was performed by Student’s unpaired t test. p < 0.05 was considered statistically significant.
For MCT-1 and β-catenin staining in human colon tumor samples, following pressure cooker antigen retrieval in citrate buffer, adjacent sections were blocked in 3 % H2O2, goat serum, and avidin-biotin blocking reagent (Vector Labs). Sections were incubated with primary antibody solutions: anti-MCT-1 (Santa Cruz SC-50324, 1:500) or anti-β-catenin (BD Biosciences 610154, 1:500), followed by biotinylated secondary antibodies and visualization using a peroxidase-conjugated avidin-based Vectastain protocol. Slides were then counterstained with hematoxylin and mounted.
AMP-activated protein kinase
Dominant-negative LEF/TCF transcription factors
Nuclear factor of activated T-cells
Pyruvate dehydrogenase kinase 1
Wnt response elements
We thank Drs. Peter Donovan, Eric Stanbridge, and Jennifer Mastroianni, as well as George Chen for their advice and critique of the manuscript. This work was made possible, in part, through access to the Experimental Tissue Resource and Genomic High Throughput Facility Shared Resource of the Chao Family Comprehensive Cancer Center Support Grant (CA-62203) at the University of California, Irvine and NIH shared instrumentation grants 1S10RR025496-01 and 1S10OD010794-01.
The work of SST, KTP, MMM, and MLW was supported by NIH grants CA096878, CA108697, and a P30CA062203 to the UC Irvine Chao Family Comprehensive Cancer Center. FG is supported by P50BM07656516 and the work performed by RAE and KW is supported by P30CA062203. ANH and YL are supported by CA-T32 009054 from the National Cancer Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.
Availability of data and materials
Plasmids are available for distribution by contacting the corresponding author (firstname.lastname@example.org). Data from the microarray are available in the Gene Expression Omnibus (GSE53536).
SST and MLW conceived of the project. MLW and SST designed experiments, SST carried out experiments on all aspects of the project with assistance from ANH, KTP, MMM and YL. KW carried out immunohistochemistry experiments, FG performed mass spectrometry and metabolite analysis, and RAE provided human cancer pathology advice and analysis of IHC results. SST and MLW wrote the manuscript. SST, ANH, KTP, MMM, YL, and MLW provided critical editing of the manuscript. MLW supervised the research. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
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