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THE CANCER-METABOLISM LINK MEASURING THE KEY PARAMETERS OF CANCER METABOLISM METABOLIC PHENOTYPES OF CANCER CELLS Cancer cells exhibit a phenotype that reflects their metabolic needs. Researchers are using Seahorse XF technology and XF stress tests to explore these metabolic changes, and the effect of metabolic therapies to increase their understanding of cancer. The Seahorse XF Cell Mito Stress Test measures the key parameters of respiration: basal respiration, proton leak, ATP-linked respiration, maximal respiration, and spare respiratory capacity. The Seahorse XF Glycolysis Stress Test measures the key parameters of glycolytic function: glycolysis, glycolytic capacity, and glycolytic reserve. METABOLIC PROFILES Cancer cells have a metabolic profile which reflects their altered bioenergetic requirements to support proliferation. 50 40 30 20 10 0 0 25 50 75 100 125 150 175 200 Glucose 25 μM 2DG 25 20 15 10 5 0 0 20 40 Time (min) Control Oligomycin 30 ECAR (mpH/min/mg protein) OCR (pmol/min/ug/protein) Oxygen Consumption Rate (OCR) antimycin A Extracellular Acidification Rate (ECAR) 2DG Oligomycin FCCP 60 60 80 100 Time (min) 50 μM 75 μM 100 μM Prostate tumor cells Mouradian M., et al., (2014) Mol Carcinog. Prostate epithelial cells Ibrahim-Hashim A, et al., (2011) J Cancer Sci Ther. Seahorse XF Cell Mito Stress Test reveals the dose-dependent susceptibility of breast cancer cells to polyunsaturated fatty acids as shown by a depression in all parameters of mitochondrial respiration. Seahorse XF Glycolysis Stress Test identifies prostate tumor cell susceptibility to buffer therapy illustrated by an increased glycolytic capacity over normal prostate epithelial cells. METABOLIC SWITCHING 1000 800 800 600 600 - 2DG e -sitiv - sen - - IL - - - T-R-A- - - + Glucose < 400 200 200 0 0 120 - 400 + 2DG 0 40 <-- Glucose - -TRA - - IL - - res - - ista - - nt -- 200 280 0 40 80 120 160 (mpH/min/106 cells) 450 OCR (pmo/min/10K cells) 1000 Oxygen Consumption Rate (OCR) BASAL OCR (pmo/min/106 cells) Oxygen Consumption Rate (OCR) Cancer cells are known to switch to a metabolic phenotype that drives proliferation, such as shifting towards glycolysis (known as the Warburg effect), as illustrated by these Seahorse XF phenograms. High OXPHOS High Energetic 400 OVCAR3 350 300 ree 250 eg ed OVCA420 SKOV3 v asi inv 200 150 100 SKOV3 Ip Low Energetic 10 20 High Glycolysis 30 40 50 60 Extracellular Acidification Rate (ECAR) Extracellular Acidification Rate (ECAR) Robinson GL., et al., (2012) Oncogene Yang L., et al., (2014) Mol Syst Biol. Seahorse XF Metabolic Switch Assay illustrates a Reverse Warburg phenotype in mantle cell lymphomas sensitive to TRAIL induced by 2DG inhibition, unlike the prototypic Warburg switch to aerobic glycolysis in the presence of glucose (TRAIL-resistant). 70 (mpH/10K cells) Seahorse XF Metabolic Switch Assay identifies highly invasive ovarian cancer cells which have decreased energetics. 80 THE WORLD’S MOST ADVANCED METABOLIC ANALYZERS XF DATA IN PUBLICATIONS There are over 2,000 references utilizing Seahorse XF technology published in leading journals such as Nature and Cell. Scientists are embracing Seahorse XF technology to identify metabolic phenotypes and reprogramming to target metabolic pathways for therapeutic purposes. 900 800 700 600 500 Glucose 400 Pyruvate Lactate 300 200 100 Mitochondrial Respiration Glycolysis ECAR (Extracellular Acidification Rate) 0 OCR (Oxygen Consumption Rate) 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 PATHWAYS AND MECHANISM OF ACTION IN CANCER CELLS Cancer therapies have exploited rapid proliferation as a treatment option. These treatment options can result in unwanted and unacceptable side effects. Using Seahorse XF technology to focus on understanding cell metabolism, more selective therapeutic agents can be studied and explored, not only for the effect on cancer cells, but for their systemic effects as well. Rotenone/ antimycin A 1780 1586 1392 1197 1003 809 615 421 226 32 -162 0 17 33 50 66 83 100 116 133 149 166 125 Cell# (X106) Oligomycin FCCP Oxygen Consumption Rate (OCR) (%) Permeabilized Cells Extracelluar Acidification Rate (ECAR) % of baseline Glucose 100 2.5 2.0 1.5 1.0 0.5 75 0.0 0 24 48 72 Time (hrs) 50 25 0 0 .25 .50 .75 1.0 mM Colorectal cancer cells +Metformin Time (min) Wild type squamous carcinoma cell p53 knockdown Zhou G., et al., (2014) Mol Cell. Seahorse XF assay reveals p53 pathway is critical for reversing Warburg metabolism illustrated by reduced glycolytic activity in p53 knockdown squamous carcinoma cells. 0mM Metformin 0.5mM Metformin 1mM Metformin Wheaton W., et al., (2014) eLife Seahorse XF assay reveals an unexpected dose-dependent metformin inhibition of complex I correlating to proliferation in colorectal cancer cells. XF ASSAYS FOR THE METABOLIC HALLMARKS OF CANCER TUMOR MICROENVIRONMENT To mimic a tumors’ in vivo environment, researchers employ methods such as culturing cells under hypoxia or modeling tumors as multicellular spheroids. Seahorse XF technology is capable of adapting to a variety of culturing conditions to provide precise, in vivo-like, physiologically relevant metabolic data. HYPOXIA AND SPHEROIDS Tumors are heterogeneous and exist in a complex, 3D environment defined by nutrient and chemical gradients 70 60 Spare Respiratory Capacity 50 40 30 20 10 0 25 50 75 Rotenone/ FCCP antimycin A Oligomycin 0.18 40 Oxygen Consumption Rate (OCR) (μmo/e/h/μl cells) Rotenone/ Oligomycin FCCP antimycin A Oxygen Consunption Rate (OCR) (pmol/min) Oxygen Consunption Rate (OCR) (pmol/min) (O2, pH, etc.). 35 30 Spare Respiratory Capacity 25 20 15 10 5 100 125 150 175 200 0.16 0.14 0.12 0.10 0.80 0.60 0.40 0.20 0.00 Murine Breast Tumor Cells 0 30 Time (min) 2D cultures 60 90 120 150 180 Human Pancreatic Cancer Cells 210 DMEM Time (min) 3D cultures No glucose No glutamine Fan J., et al., (2013) Mol Syst Biol. Seahorse XF technology enables precise metabolic measurements in 3D cultures as illustrated by an increase in spare respiratory capacity in 3D cultures of colorectal cancer cells. Seahorse XF technology reveals glutamine oxidation requirement for hypoxia survival in both murine breast cancer and human pancreatic cells. SUBSTRATE PREFERENCE Cancer cells alter their substrate preference to maintain their rapid proliferation. Seahorse XF technology provides the necessary tools that facilitate the exploration of substrate preferences,enabling a greater understanding of cancer cell progression. 1000 900 800 Control Palmitate 700 Glucose Glutamine 600 500 400 300 200 100 0 CELLS GENE-ENRICHED FOR OXPHOS NON-ACTIVATED B CELLS Caro P., et al., (2012) Cancer Cell. Seahorse XF assay identifies substrate preference of lymphoma subsets. Oxygen Consumption Rate (OCR) (%) Oxygen Consumption Rate (OCR) Basal OCR (pmoles O/min) 1100 300 250 200 150 100 50 0 CTL FA-dependent RAS FA-independent Quijano C, et al., (2012) Cell Cycle Seahorse XF assay reveals the critical role of fatty acid oxidation in Ras-mediated senescence of fibroblasts. THE CANCER-METABOLISM LINK XF assays measure the hallmarks of cancer: oncogene reprogramming of metabolism, substrate preference of tumor cells, and metabolic phenotypes. Proliferation, associated with carcinogenesis, involves oncogenes, proto-oncogenes, and mutated tumor-suppressor genes. Rapid proliferation correlates to the cells’ metabolic phenotype. To maintain rapid growth cancer cells will reprogram their metabolic phenotype,switching between glycolytic and aerobic phenotypes. PHENOTYPES & METABOLISM LINK GLUCOSE LACTATE GLYCOLYSIS GLUCOSE GLYCOLYSIS Cancer cells change their substrate preference as they alter their metabolic phenotypes. For example, cancer cells may increase glutamine metabolism, alter lipid metabolism, or shift the balance between anabolic and catabolic processes. There is increasing evidence of the interactions amongst genes, substrates, and phenotypes. Seahorse XF technology and assays are bringing unique value to investigate the mechanisms behind the hallmarks of cancer and altered cell metabolism. RIBOSE LACTATE RIBOSE GLUTAMINE GLUTAMINE TCA CYCLE O2 TCA CYCLE ATP OXPHOS O2 ATP OXPHOS OXPHOS GENES & METABOLISM LINK Glycolysis SUBSTRATES & METABOLISM LINK GLUCOSE GLUCOSE p53 PI3/AKT FATTY ACID GLYCOLYSIS MYC HIF1 FATTY ACID LACTATE HIF1 MYC CITRATE PYRUVATE Acetyl-CoA A HIF1 HIF 1 PYRUVATE LIPID SYNTHESIS NADH P /AKT PI3 GLUTAMATE TCA ETC MYC YC GLU LUTAMINOLYSIS GLU UTAM TAMINE IN XF METABOLIC ASSAYS MEASURING THE KEY PARAMETERS OF CELL METABOLISM Seahorse XF Cell Mito Stress Test Profile Seahorse XF Glycolysis Stress Test Profile Mitochondrial Respiration Glycolytic Function Oligomycin Rotenone & antimycin A FCCP Glucose 320 280 Spare Capacity 240 200 Maximal Respiration 160 120 ATP Production Basal Respiration 80 Proton Leak Non-mitochondrial Oxygen Consumption 40 0 Oligomycin 2-DG 45 0 10 20 30 40 50 60 70 Time (minutes) Extracellular Acidification Rate (ECAR) (mpH/min) Oxygen Consumption Rate (OCR) (pmol/min) 360 40 35 25 Glycolytic Capacity 20 15 Glycolysis 10 5 0 80 90 100 110 Glycolytic Reserve 30 Non-glycolytic Acidification 0 10 20 30 40 50 60 70 Time (minutes) 80 90 100 Seahorse XF Mito Fuel Flex Test Profile Seahorse XF Cell Energy Phenotype Test Metabolic Phenotype & Potential Mitochondrial Function 100 Stressed Phenotype Baseline Phenotype Quiescent Glycolytic 80 60 Flexibility 40 Flexibility 20 Dependency Glycolysis Extracellular Acidification Rate (ECAR) For Research Use Only. Not for use in diagnostic procedures. 0 Glucose Pathway Dependency Glutamine Pathway Dependency Capacity t l Capacity b Po ia Capacity Mitochondrial Respiration Oxygen Consumption Rate (OCR) M a et ic ol t en % GLC+GLN+FA Fuel Oxidation Energetic Aerobic Fatty Acid Pathway This information is subject to change without notice. © Agilent Technologies, Inc., 2016 Published in the USA, August 1, 2016 5991-7107EN