Understanding Of Cancer Metabolism Research Articles

Knowledge-Based Therapeutics for Tricarboxylic Acid (TCA) Cycle-Deficient Cancers.

With the foundation pre-laid, research in the new millennium has readily excavated and expanded upon the architectural framework laid out by Otto Warburg's seminal work in a new wave of "westward expansion," ever widening our understanding of cancer metabolism beyond the telescopic vision seen over a century ago. On this path, the unique circuitry of the cancer metabolic program has been elucidated, illuminating mutations of conserved cellular pathways implicated in tumorigenesis. Paramount among these are mutations in tricarboxylic acid cycle enzymes, succinate dehydrogenase, and fumarate hydratase, leading to deleterious accumulations in metabolic intermediates, "oncometabolites," the pilots of the disease process. In this work, we seek to reflect on the advancements in the field in recent years, updating knowledge on the exact biochemical mechanisms at the helm of the tumor, providing rationale for clinical trials currently underway, and anticipating directions for the future on this expansive frontier.

A Metabolic-Epigenetic Mechanism Directs Cell Fate and Therapeutic Sensitivity in Breast Cancer.

Over the past decade, studies have increasingly shed light on a reciprocal relationship between cellular metabolism and cell fate, meaning that a cell's lineage both drives and is governed by its specific metabolic features. A recent study by Zhang and colleagues, published in Cell Metabolism, describes a novel metabolic-epigenetic regulatory axis that governs lineage identity in triple-negative breast cancer (TNBC). Among the key findings, the authors demonstrate that the metabolic enzyme pyruvate kinase M2 (PKM2) directly binds to the histone methyltransferase enhancer of zeste homolog 2 (EZH2) in the nucleus to silence expression of a set of genes that includes the mitochondrial carnitine transporter SLC16A9. Perturbation of this metabolic-epigenetic regulatory mechanism induces a metabolic shift away from glycolysis and toward fatty acid oxidation. The ensuing influx of carnitine facilitates the deposition of the activating epigenetic mark H3K27Ac onto the promoter of GATA3, driving a committed luminal lineage state. Importantly, this metabolic-epigenetic axis represents a potentially targetable vulnerability for the treatment of TNBC, a subtype that currently lacks effective therapeutic strategies. These findings lend further support for the paradigm shift underlying our understanding of cancer metabolism: that a cellular fuel source functions not only to provide energy but also to direct the epigenetic regulation of cell fate.

Glioblastoma Metabolism: Insights and Therapeutic Strategies.

Tumor metabolism is emerging as a potential target for cancer therapies. This new approach holds particular promise for the treatment of glioblastoma, a highly lethal brain tumor that is resistant to conventional treatments, for which improving therapeutic strategies is a major challenge. The presence of glioma stem cells is a critical factor in therapy resistance, thus making it essential to eliminate these cells for the long-term survival of cancer patients. Recent advancements in our understanding of cancer metabolism have shown that glioblastoma metabolism is highly heterogeneous, and that cancer stem cells exhibit specific metabolic traits that support their unique functionality. The objective of this review is to examine the metabolic changes in glioblastoma and investigate the role of specific metabolic processes in tumorigenesis, as well as associated therapeutic approaches, with a particular focus on glioma stem cell populations.

Untargeted Metabolomic Characterization of Glioblastoma Intra-Tumor Heterogeneity Using OrbiSIMS.

Glioblastoma (GBM) is an incurable brain cancer with a median survival of less than two years from diagnosis. The standard treatment of GBM is multimodality therapy comprising surgical resection, radiation, and chemotherapy. However, prognosis remains poor, and there is an urgent need for effective anticancer drugs. Since different regions of a single GBM contain multiple cancer subpopulations ("intra-tumor heterogeneity"), this likely accounts for therapy failure as certain cancer cells can escape from immune surveillance and therapeutic threats. Here, we present metabolomic data generated using the Orbitrap secondary ion mass spectrometry (OrbiSIMS) technique to investigate brain tumor metabolism within its highly heterogeneous tumor microenvironment. Our results demonstrate that an OrbiSIMS-based untargeted metabolomics method was able to discriminate morphologically distinct regions (viable, necrotic, and non-cancerous) within single tumors from formalin-fixed paraffin-embedded tissue archives. Specifically, cancer cells from necrotic regions were separated from viable GBM cells based on a set of metabolites including cytosine, phosphate, purine, xanthine, and 8-hydroxy-7-methylguanine. Moreover, we mapped ubiquitous metabolites across necrotic and viable regions into metabolic pathways, which allowed for the discovery of tryptophan metabolism that was likely essential for GBM cellular survival. In summary, this study first demonstrated the capability of OrbiSIMS for in situ investigation of GBM intra-tumor heterogeneity, and the acquired information can potentially help improve our understanding of cancer metabolism and develop new therapies that can effectively target multiple subpopulations within a tumor.

Role of Polyamines as Biomarkers in Lymphoma Patients: A Pilot Study.

Lymphomas represent a heterogeneous and widely diversified group of neoplastic diseases rising from a variety of lymphoid subsets at heterogeneous differentiation stages. These lymphoproliferative disorders lead to the clinicopathological complexity of the classification of lymphoid neoplasms, describing to date more than 40 categories of non-Hodgkin’s lymphoma (NHL) and 5 categories of Hodgkin’s lymphoma (HL). Inflammation has been shown to play a key role in the evolution of cancer diseases, and it might be interesting to understand their role also in the context of lymphoid neoplasms. Among circulating biomarkers, the role of polyamines belonging to the arginine and lysine metabolism is relevant. Through modern analytical methods, such as mass spectrometry (MS), we are enabled to increase knowledge and improve our understanding of cancer metabolism. In this study, high-resolution mass spectrometry was used in combination with high-performance liquid chromatography (LC-HRMS) to measure serum levels of polyamines and identify possible diagnostic circulating biomarkers, potentially allowing a more accurate assessment of the diagnostic stratification of lymphoma patients and robust comparisons between different patient groups.

Metabolic changes induced by DNA damage in Ramos cells: exploring the role of mTORC1 complex.

DNA damage induces the activation of many different signals associated with repair or cell death, but it is also connected with physiological events, such as adult neurogenesis and B‐cell differentiation. DNA damage induces different signaling pathways, some of them linked to important metabolic changes. The mTORC1 pathway has a central role in the regulation of growth processes and cell division in response to environmental changes and also controls protein synthesis, lipid biogenesis, nucleotide synthesis, and expression of glycolytic genes. Here, we report that double‐strand breaks induced with etoposide affect the expression of genes encoding different enzymes associated with specific metabolic pathways in Ramos cells. We also analyzed the role of mTOR signaling, demonstrating that double‐strand breaks induce downregulation of mTOR signaling. Specific inhibition of mTORC1 using rapamycin also induced changes in the expression of metabolic genes. Finally, we demonstrated that DNA damage and rapamycin can regulate glucose uptake. In summary, our findings show that etoposide and rapamycin affect the expression of metabolic genes as well as apoptotic and proliferation markers in Ramos cells, increasing our understanding of cancer metabolism.

Targeting Metabolism to Control Immune Responses in Cancer and Improve Checkpoint Blockade Immunotherapy.

Simple SummaryIn a tumor context, antitumor immune cells mediate an inflammatory response after activating a metabolic switch to kill cancer cells. However, tumors develop strategies to avoid destruction. Cancer cells are able to modify the metabolic environment of the tumor by sequestering nutrients (e.g., glucose, tryptophan, arginine) and by producing toxic waste compounds (e.g., adenosine, lactate, kynurenine). This tumor environment promotes exhaustion of antitumor immune cells while driving the expansion of Tregs and the expression of immune checkpoints. Establishment of such an immunosuppressive tumor environment decreases treatment response of cancer patients to immunotherapy. Interestingly, immunometabolism knowledge allows new therapeutic strategies to increase antitumor immune response by targeting the metabolism of both cancer and immune cells to improve immunotherapy.Over the past decade, advances in cancer immunotherapy through PD1–PDL1 and CTLA4 immune checkpoint blockade have revolutionized the management of cancer treatment. However, these treatments are inefficient for many cancers, and unfortunately, few patients respond to these treatments. Indeed, altered metabolic pathways in the tumor play a pivotal role in tumor growth and immune response. Thus, the immunosuppressive tumor microenvironment (TME) reprograms the behavior of immune cells by altering their cellular machinery and nutrient availability to limit antitumor functions. Today, thanks to a better understanding of cancer metabolism, immunometabolism and immune checkpoint evasion, the development of new therapeutic approaches targeting the energy metabolism of cancer or immune cells greatly improve the efficacy of immunotherapy in different cancer models. Herein, we highlight the changes in metabolic pathways that regulate the differentiation of pro- and antitumor immune cells and how TME-induced metabolic stress impedes their antitumor activity. Finally, we propose some drug strategies to target these pathways in the context of cancer immunotherapy.

The Engaged Role of Tumor Microenvironment in Cancer Metabolism: Focusing on Cancer-Associated Fibroblast and Exosome Mediators.

Metabolic reprogramming is a significant property of various cancer cells, which most commonly arises from the Tumor Microenvironment (TME). The events of metabolic pathways include the Warburg effect, shifting in Krebs cycle metabolites, and the rate of oxidative phosphorylation, potentially providing energy and structural requirements for the development and invasiveness of cancer cells. TME and tumor metabolism shifting have a close relationship through bidirectional signaling pathways between stromal and tumor cells. Cancer- Associated Fibroblasts (CAFs), as the most dominant cells of TME, play a crucial role in the aberrant metabolism of cancer. Furthermore, the stated relationship can affect survival, progression, and metastasis in cancer development. Recently, exosomes are considered one of the most prominent factors in cellular communications considering effective content and bidirectional mediatory effect between tumor and stromal cells. In this regard, CAF-Derived Exosomes (CDE) exhibit an efficient obligation to induce metabolic reprogramming for promoting growth and metastasis of cancer cells. The understanding of cancer metabolism, including factors related to TME, could lead to the discovery of a potential biomarker for diagnostic and therapeutic approaches in cancer management. This review focuses on the association between metabolic reprogramming and engaged microenvironmental, factors such as CAFs, and the associated derived exosomes.

Metabolism in the Tumor Microenvironment

Experiments in culture systems where one cell type is provided with abundant nutrients and oxygen have been used to inform much of our understanding of cancer metabolism. However, many differences have been observed between the metabolism of tumors and the metabolism of cancer cells grown in monoculture. These differences reflect, at least in part, the presence of nonmalignant cells in the tumor microenvironment and the interactions between those cells and cancer cells. However, less is known about how the metabolism of various tumor stromal cell types differs from that of cancer cells, and how this difference might inform therapeutic targeting of metabolic pathways. Emerging data have identified both cooperative and competitive relationships between different cell types in a tumor, and this review examines how four abundant stromal cell types in the tumor microenvironment, fibroblasts, T cells, macrophages, and endothelial cells, contribute to the metabolism of tumors.

A better understanding of cancer metabolism for a more efficient immunotherapy

A better understanding of cancer metabolism for a more efficient immunotherapy

Tracking Photodynamic- and Chemotherapy-Induced Redox-State Perturbations in 3D Culture Models of Pancreatic Cancer: A Tool for Identifying Therapy-Induced Metabolic Changes.

The metabolic plasticity of cancer cells is considered a highly advantageous phenotype that is crucial for disease progression and acquisition of treatment resistance. A better understanding of cancer metabolism and its adaptability after treatments is vital to develop more effective therapies. To screen novel therapies and combination regimens, three-dimensional (3D) culture models of cancers are attractive platforms as they recapitulate key features of cancer. By applying non-perturbative intensity-based redox imaging combined with high-throughput image analysis, we demonstrated metabolic heterogeneity in various 3D culture models of pancreatic cancer. Photodynamic therapy and oxaliplatin chemotherapy, two cancer treatments with relevance to pancreatic cancer, induced perturbations in redox state in 3D microtumor cultures of pancreatic cancer. In an orthotopic mouse model of pancreatic cancer, a similar disruption in redox homeostasis was observed on ex vivo slices following photodynamic therapy in vivo. Taken together, redox imaging on cancer tissues combined with high-throughput analysis can elucidate dynamic spatiotemporal changes in metabolism following treatment, which will benefit the design of new metabolism-targeted therapeutic approaches.

Imaging Cancer Metabolism.

It is widely accepted that altered metabolism contributes to cancer growth and has been described as a hallmark of cancer. Our view and understanding of cancer metabolism has expanded at a rapid pace, however, there remains a need to study metabolic dependencies of human cancer in vivo. Recent studies have sought to utilize multi-modality imaging (MMI) techniques in order to build a more detailed and comprehensive understanding of cancer metabolism. MMI combines several in vivo techniques that can provide complementary information related to cancer metabolism. We describe several non-invasive imaging techniques that provide both anatomical and functional information related to tumor metabolism. These imaging modalities include: positron emission tomography (PET), computed tomography (CT), magnetic resonance imaging (MRI), magnetic resonance spectroscopy (MRS) that uses hyperpolarized probes and optical imaging utilizing bioluminescence and quantification of light emitted. We describe how these imaging modalities can be combined with mass spectrometry and quantitative immunochemistry to obtain more complete picture of cancer metabolism. In vivo studies of tumor metabolism are emerging in the field and represent an important component to our understanding of how metabolism shapes and defines cancer initiation, progression and response to treatment. In this review we describe in vivo based studies of cancer metabolism that have taken advantage of MMI in both pre-clinical and clinical studies. MMI promises to advance our understanding of cancer metabolism in both basic research and clinical settings with the ultimate goal of improving detection, diagnosis and treatment of cancer patients.

Abstract SY02-01: Understanding metabolic phenotypes in human tumors

Abstract Metabolic reprogramming—the regulated alteration of flux through metabolic pathways in cancer cells—is an essential component of malignancy (1). In particular, pathways involved in bioenergetics, anabolism, and redox homeostasis are commonly altered by cancer-promoting mutations in oncogenes and tumor suppressor genes, and these metabolic activities support the enhanced survival and growth of cultured cancer cells in vitro (2). The relevance of these reprogrammed pathways to bona fide human cancer is less well established, however, and the knowledge gap between cultured cell models and tumors has created a bottleneck in translating metabolic reprogramming into new approaches for clinical imaging and cancer therapy. Thus, a major current challenge is to develop approaches that can characterize metabolic activity in intact tumors, particularly from human subjects. The metabolic phenotypes of malignant cells within human tumors result from the integrated effects of a large number of intrinsic (e.g., genetic) and extrinsic (e.g., environmental) factors. The complexity of these influences results in a great deal of metabolic heterogeneity among tumors and even within different regions of the same tumor (3, 4). A complete understanding of cancer metabolism will demand approaches that can report the effects of both intrinsic and extrinsic influences on metabolic pathway preferences within tumors. Medical imaging techniques such as multiparametric magnetic resonance imaging (mpMRI) and positron emission tomography (PET) provide information about various aspects of tumor biology predicted to influence metabolism. Intraoperative infusions of isotope-labeled nutrients such as 13C-glucose provide a means to assess metabolic fluxes within living tumors in patients and mouse models and to compare these activities to adjacent benign tissue (5-8). I discuss approaches to understand metabolic phenotypes in human non–small cell lung cancer (NSCLC). We use a multidisciplinary clinical protocol designed to integrate presurgical imaging, including mpMRI and PET, with intraoperative infusions of isotope-labeled nutrients so that we can register specific metabolic fluxes to specific regions of these biologically heterogeneous tumors (4). This approach has allowed us to characterize fuel utilization within human lung tumors and to identify some of the factors that influence fuel preferences. I also discuss the unexpected contribution of alternative fuels other than glucose to energy metabolism in human NSCLC tissue. Supported by grants to R.J.D. from the National Cancer Institute (2 R01 CA157996-06), the V Foundation (Translational Research Award), and the Howard Hughes Medical Institute (Faculty Scholars Program).

Nesting of colon and ovarian cancer cells in the endothelial niche is associated with alterations in glycan and lipid metabolism

The metabolic phenotype of a cancer cell is determined by its genetic makeup and microenvironment, which dynamically modulates the tumor landscape. The endothelial cells provide both a promoting and protective microenvironment – a niche for cancer cells. Although metabolic alterations associated with cancer and its progression have been fairly defined, there is a significant gap in our understanding of cancer metabolism in context of its microenvironment. We deployed an in vitro co-culture system based on direct contact of cancer cells with endothelial cells (E4+EC), mimicking the tumor microenvironment. Metabolism of colon (HTC15 and HTC116) and ovarian (OVCAR3 and SKOV3) cancer cell lines was profiled with non-targeted metabolic approaches at different time points in the first 48 hours after co-culture was established. We found significant, coherent and non-cell line specific changes in fatty acids, glycerophospholipids and carbohydrates over time, induced by endothelial cell contact. The metabolic patterns pinpoint alterations in hexosamine biosynthetic pathway, glycosylation and lipid metabolism as crucial for cancer – endothelial cells interaction. We demonstrated that “Warburg effect” is not modulated in the initial stage of nesting of cancer cell in the endothelial niche. Our study provides novel insight into cancer cell metabolism in the context of the endothelial microenvironment.

Abstract A42: Exploring differential metabolic plasticity for treatment of cancer

Abstract The metabolic properties of cancer cells diverge significantly from those of normal cells. Energy production in cancer cells is abnormally dependent on aerobic glycolysis even in the presence of sufficient oxygen concentration to perform OXPHOS in mitochondria. In the last years the understanding of cancer metabolism has increased, revealing its high complexity. In addition to the dependency on glycolysis, cancer cells have other atypical metabolic characteristics such as increased fatty acid synthesis and increased rates of glutamine metabolism. Emerging evidence shows that many features characteristic to cancer cells, such as deregulated Warburg-like glucose metabolism, fatty acid synthesis and glutaminolysis are linked to therapeutic resistance in cancer treatment. Therefore recently, there is a renewed interest in targeting metabolism as a resource for cancer treatment options. However, cancer heterogeneity and the variable mutational spectrum of cancer will likely hamper targeting metabolism in a manner similar to targeting deregulated signal transduction. Our work aims to analyze and correlate common cancer mutations with metabolic changes and thereby to rationalize metabolic personalized cancer treatment. For this purpose we combine metabolic measurements from genetically defined colon organoids (tumor progression organoid model and organoids derived from various genetically modified mice) and patient derived colon tumor organoids (biobank) from which the genome has been fully sequenced. Metabolism is profiled by various methods including Seahorse technology for the determination of bioenergetics, and untargeted metabolomics. This enables us to profile these organoids based on their metabolic program and to use this information for specific cancer treatment. Citation Format: Maria J. Rodriguez-Colman, Maaike Meerlo, Nanda Verhoeven-Duif, Boudewijn Burgering. Exploring differential metabolic plasticity for treatment of cancer. [abstract]. In: Proceedings of the AACR Special Conference: Metabolism and Cancer; Jun 7-10, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(1_Suppl):Abstract nr A42.

Mathematical models of cancer metabolism.

Metabolism is essential for life, and its alteration is implicated in multiple human diseases. The transformation from a normal to a cancerous cell requires metabolic changes to fuel the high metabolic demands of cancer cells, including but not limited to cell proliferation and cell migration. In recent years, there have been a number of new discoveries connecting known aberrations in oncogenic and tumour suppressor pathways with metabolic alterations required to sustain cell proliferation and migration. However, an understanding of the selective advantage of these metabolic alterations is still lacking. Here, we review the literature on mathematical models of metabolism, with an emphasis on their contribution to the identification of the selective advantage of metabolic phenotypes that seem otherwise wasteful or accidental. We will show how the molecular hallmarks of cancer can be related to cell proliferation and tissue remodelling, the two major physiological requirements for the development of a multicellular structure. We will cover different areas such as genome-wide gene expression analysis, flux balance models, kinetic models, reaction diffusion models and models of the tumour microenvironment. We will also highlight current challenges and how their resolution will help to achieve a better understanding of cancer metabolism and the metabolic vulnerabilities of cancers.

Metabolism, Metabolomics and Cancer

It has been 90 years since Otto Warburg first made the observation that cancer cells exploit a unique kind of fermentative metabolism called “aerobic glycolysis” to rapidly grow and divide. However, it has only been in the last 4 years that perturbed metabolism was officially identified as a hallmark of cancer. The rediscovery of the Warburg effect is leading to a paradigm shift in our understanding of how to detect and treat cancer. In this presentation I will argue that cancer is fundamentally a metabolic disorder and that its diagnosis and treatment needs to be aligned with this central fact. I will also illustrate how metabolomics is enabling a much better understanding of cancer metabolism and leading to the development of better biomarkers for early cancer detection, an improved understanding of cancer cachexia and the discovery of innovative metabolite therapies for treating cancer.

Cancer metabolomics in basic science perspective.

As metabolomics investigates metabolic pathways with the focus on metabolites, it is a suitable approach to address the complex metabolic alteration in cancer. In addition, metabolic profiles are affected by environmental and post-natal changes, and therefore, directly measuring many metabolites may provide epigenetically relevant information in cancer. Despite much development in our understanding of cancer metabolism, focus is often directed to signaling or metabolic proteins that modulate the metabolite levels. In this review, we discuss the "metabolite-oriented view" on cancer metabolism. We cover how metabolomics research contributed to our current insights into the basic mechanism of metabolic alterations leading to cancer. Then, we discuss specific metabolites and related enzymatic pathways directly related with tumorigenesis. We particularly pay attention to how metabolites regulate signaling proteins and metabolic enzymes ultimately leading to cancer phenotypes. Finally, we address future prospects and challenges of metabolomics in cancer research.

Abstract P3-01-01: Targeting glutamine metabolism in breast cancer for therapy

Abstract Metabolic reprogramming of cancer cells is observed in different types of tumors including breast. Oncogenic signals aid changes in metabolism that provide selective advantage to the cancer cells to meet their energy requirements to accomplish rapid proliferation. The increased dependence on the glycolytic pathway for energy called the “Warburg effect” was reported by Otto Warburg several decades ago. Our recent understanding of cancer metabolism has thrown light on alternative energy sources, especially glutamine and other branched chain amino acids. The role of glutamine in breast cancer cell growth has not yet been studied extensively. In this study we found that a number of breast cancer cell lines, especially those negative for ER, PR, HER2, display a high dependence on glutamine for their survival and growth. Interestingly, most of these glutamine-dependent cell lines express high levels of c-myc protein. Consistent with their growth dependency on glutamine, transaminases responsible for entry of glutamine into the tricarboxylic acid cycle are transcriptionally up regulated under low glutamine conditions. Consequently, growth of these cancer cell lines was found to be specifically inhibited by the transaminase inhibitor, amino oxyacetate (AOA). Moreover, the AOA mediated cytotoxic effect was partially c-myc dependent. Through 1H-NMR studies of AOA-treated cells we show that in addition to glutamine, AOA treatment decreases the aspartate and alanine content in the cells. In line with these findings, exogenous supplementation with aspartate partially rescued the cells from the growth inhibitory effects of AOA. Flow cytometry analysis showed that AOA causes cell cycle arrest in the S phase. AOA also had significant inhibitory effect on in vivo growth of rapidly growing SUM 149 and SUM159 xenografts in immunodeficient mice. When combined with chemotherapeutic agents, doxorubicin and carboplatin, AOA inhibited growth of MDA-MB-231 xenograft tumors more effectively than AOA alone. Lastly we present evidence that the cytotoxic effect of AOA is mediated through activation of the ER stress pathway, combined with depletion of key amino acids and likely, a reduction in the nucleoside pool in the cells. Our preclinical studies, both in vitro and in vivo, combined with development of intermediate markers of response, provide a strong rationale for testing AOA for therapy in Phase 0 clinical trials. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P3-01-01.

Abstract 1852: Pyruvate dehydrogenase kinase expression and metabolic changes following dichloroacetate exposure in anoxia in human colorectal cancer cells.

Abstract Introduction: While glycolysis is a suboptimal metabolic strategy used by cells under hypoxic conditions, many cancer cells preferentially utilize glycolysis for energy production in the presence of abundant oxygen, a phenomenon known as the “Warburg Effect”. Dichloroacetate (DCA) is a small molecule metabolic modulator that shifts cellular metabolism to glucose oxidation by inhibition of pyruvate dehydrogenase kinase (PDK), an enzymatic inhibitor of pyruvate dehydrogenase (PDH). Furthermore, DCA has been shown to induce apoptosis in cancer but not normal cells. Our previous work showed that some human colorectal cancer (CRC) cells are protected from anoxia-induced apoptosis upon exposure to DCA, through as yet unclear mechanisms. Hypothesis: It is hypothesized that differential expression of PDK isoforms will correlate with the ability of different cancer cells to withstand the apoptotic effects of DCA in anoxia. Methods: SW480, LS174T (CRC) and IEC-18 (normal intestinal epithelial) cell lines were exposed to 10 mM DCA in either normoxic (20% O2) or anoxic (< 0.1% O2) conditions for 24 hours. Following treatment, expression of different PDK isoforms was determined through qRT-PCR and western blotting. Phosphorylation of PDH at Ser293 and Ser300 was assessed through western blotting. Glucose consumption and lactate production was determined using a colorimetric-based assay. Changes in mitochondrial function were quantified through Mitotracker staining and subsequent flow cytometry. Cell viability was assessed using the neutral red assay. Results: In all three cell lines: A) PDK isoforms 1 and 3 are highly expressed relative to isoforms 2 and 4, B) DCA and/or anoxic treatment induced a greater effect on PDH phosphorylation at Ser300 than Ser293, and C) DCA had minimal effect on glucose consumption in either normoxia or anoxia. Conclusions: Altered PDK expression and PDH activation may not fully explain the differences in resistance to DCA-induced apoptosis observed in human CRC cells. Investigating the mechanisms by which certain cancer cells are protected from DCA-induced apoptosis will lead to a better understanding of cancer metabolism and thus provide better therapeutic opportunities. Citation Format: Nelson Ho, Brenda L. Coomber. Pyruvate dehydrogenase kinase expression and metabolic changes following dichloroacetate exposure in anoxia in human colorectal cancer cells. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1852. doi:10.1158/1538-7445.AM2013-1852