Agilent Posters at ASMS 2017
Posters | 2017 | Agilent Technologies | ASMSInstrumentation
Bladder cancer incidence, mortality, and clinical outcomes differ significantly across racial groups, with African-Americans (AA) exhibiting poorer survival despite lower incidence than European-Americans (EA). Metabolic reprogramming is a hallmark of cancer and may drive these disparities. A deeper understanding of tumor metabolism in AA versus EA bladder cancer could inform precision medicine approaches and reduce outcome gaps.
This study aimed to identify metabolic differences in tumor tissues from AA and EA bladder cancer patients. We performed targeted metabolomics of over 200 endogenous metabolites using LC–MS/MS and a Biocrates AbsoluteIDQ p180 Kit. Complementary molecular assays (qPCR, western blot) validated key enzyme expression changes in cell lines and patient tissues.
• Sample cohorts: 15 AA and 20 EA bladder cancer tissue samples.
• Targeted metabolomics: Agilent 6495 Triple Quadrupole LC/MS with electrospray ionization, employing positive and negative modes.
• Quantification: Biocrates p180 Kit, 10 µL plasma equivalents, internal standards for normalization.
• Data analysis: Agilent MassHunter software.
• Molecular validation: J82 (EA) and ScaBER (AA) cell lines; qPCR and western blot assessed GLS1, IDH2, ADHFE1, NAT8L, ASPA, PLA1A, LRAT expression.
• Mitochondrial metabolites: D-2-hydroxyglutarate (D-2HG), N-acetylaspartate (NAA), and glutamine were significantly elevated in AA bladder tumors.
• Enzymes: GLS1, IDH2, and ADHFE1 (drivers of D-2HG synthesis) showed higher mRNA and protein levels in AA versus EA tumors. NAT8L (NAA synthesis) was upregulated, while ASPA (NAA catabolism) was downregulated in AA tissues.
• Lipid metabolism: Lysophosphatidylcholines (LPC) were increased, whereas phosphatidylcholines (PC) decreased in AA tumors. Enzymes PLA1A and LRAT, which convert PC to LPC, were overexpressed in AA tumors.
• These findings suggest enhanced anaplerotic flux into the tricarboxylic acid cycle, accumulation of oncometabolites (D-2HG, NAA), and dysregulated phospholipid remodeling in AA bladder cancer.
• Identification of race-associated metabolic signatures may guide development of biomarkers for risk stratification and personalized therapy.
• Key metabolic enzymes (GLS1, IDH2, ADHFE1, NAT8L, PLA1A, LRAT) represent potential therapeutic targets or companion diagnostics tailored to AA patients.
• Broader metabolomic profiling across multi-ethnic cohorts to validate and refine racial disparity biomarkers.
• Integration of metabolomics with genomics and epigenomics for comprehensive mapping of molecular disparities.
• Preclinical testing of inhibitors targeting GLS1 or IDH2 in AA-derived bladder cancer models.
This study uncovers pronounced alterations in mitochondrial and phospholipid metabolism in AA versus EA bladder cancer, driven by differential expression of key metabolic enzymes. Such race-specific metabolic rewiring may underlie clinical disparities and offers avenues for personalized interventions.
1. Urology. 2011 Sep;78(3):544–549. doi:10.1016/j.urology.2011.02.042
2. Clinical Cancer Research. 2016 Oct 19. doi:10.1158/1078-0432.CCR-16-1647
GC/MSD, GC/MS/MS, GC/HRMS, Sample Preparation, GC/SQ, GC/QQQ, GC/Q-TOF, Consumables, Ion Mobility, Software, HPLC, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, LC/QQQ, SFC, 2D-LC, LC/SQ, Capillary electrophoresis
IndustriesEnvironmental, Food & Agriculture, Pharma & Biopharma, Metabolomics, Clinical Research
ManufacturerAgilent Technologies
Summary
Racial Disparity in Bladder Cancer: Altered Metabolism in African-Americans Compared to European-Americans
Importance of the topic
Bladder cancer incidence, mortality, and clinical outcomes differ significantly across racial groups, with African-Americans (AA) exhibiting poorer survival despite lower incidence than European-Americans (EA). Metabolic reprogramming is a hallmark of cancer and may drive these disparities. A deeper understanding of tumor metabolism in AA versus EA bladder cancer could inform precision medicine approaches and reduce outcome gaps.
Objectives and study overview
This study aimed to identify metabolic differences in tumor tissues from AA and EA bladder cancer patients. We performed targeted metabolomics of over 200 endogenous metabolites using LC–MS/MS and a Biocrates AbsoluteIDQ p180 Kit. Complementary molecular assays (qPCR, western blot) validated key enzyme expression changes in cell lines and patient tissues.
Methodology and instrumentation used
• Sample cohorts: 15 AA and 20 EA bladder cancer tissue samples.
• Targeted metabolomics: Agilent 6495 Triple Quadrupole LC/MS with electrospray ionization, employing positive and negative modes.
• Quantification: Biocrates p180 Kit, 10 µL plasma equivalents, internal standards for normalization.
• Data analysis: Agilent MassHunter software.
• Molecular validation: J82 (EA) and ScaBER (AA) cell lines; qPCR and western blot assessed GLS1, IDH2, ADHFE1, NAT8L, ASPA, PLA1A, LRAT expression.
Main results and discussion
• Mitochondrial metabolites: D-2-hydroxyglutarate (D-2HG), N-acetylaspartate (NAA), and glutamine were significantly elevated in AA bladder tumors.
• Enzymes: GLS1, IDH2, and ADHFE1 (drivers of D-2HG synthesis) showed higher mRNA and protein levels in AA versus EA tumors. NAT8L (NAA synthesis) was upregulated, while ASPA (NAA catabolism) was downregulated in AA tissues.
• Lipid metabolism: Lysophosphatidylcholines (LPC) were increased, whereas phosphatidylcholines (PC) decreased in AA tumors. Enzymes PLA1A and LRAT, which convert PC to LPC, were overexpressed in AA tumors.
• These findings suggest enhanced anaplerotic flux into the tricarboxylic acid cycle, accumulation of oncometabolites (D-2HG, NAA), and dysregulated phospholipid remodeling in AA bladder cancer.
Benefits and practical applications
• Identification of race-associated metabolic signatures may guide development of biomarkers for risk stratification and personalized therapy.
• Key metabolic enzymes (GLS1, IDH2, ADHFE1, NAT8L, PLA1A, LRAT) represent potential therapeutic targets or companion diagnostics tailored to AA patients.
Future trends and applications
• Broader metabolomic profiling across multi-ethnic cohorts to validate and refine racial disparity biomarkers.
• Integration of metabolomics with genomics and epigenomics for comprehensive mapping of molecular disparities.
• Preclinical testing of inhibitors targeting GLS1 or IDH2 in AA-derived bladder cancer models.
Conclusion
This study uncovers pronounced alterations in mitochondrial and phospholipid metabolism in AA versus EA bladder cancer, driven by differential expression of key metabolic enzymes. Such race-specific metabolic rewiring may underlie clinical disparities and offers avenues for personalized interventions.
References
1. Urology. 2011 Sep;78(3):544–549. doi:10.1016/j.urology.2011.02.042
2. Clinical Cancer Research. 2016 Oct 19. doi:10.1158/1078-0432.CCR-16-1647
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Agilent ASMS 2020 Posters Book
2020|Agilent Technologies|Posters
Poster Reprint ASMS 2020 MP 176 Using ICP-MS/MS with M-Lens for the analysis of high silicon matrix samples Yu Ying1; Xiangcheng Zeng1 1Agilent China Technologies, China, Shanghai, Introduction The expansion of the connected devices and the Internet of Things (IoT)…
Key words
peptide, peptidereprint, reprintwere, wereposter, postermethod, methoddiscussion, discussionpositive, positiveresults, resultsclassification, classificationusing, usingboth, bothexperimental, experimentalanalysis, analysisrecovery, recoverysample
Accurately Identify Emerging Environmental Chemical Contaminants - Application Compendium
2018|Agilent Technologies|ApplicationsGuides
Find More, Miss Less Accurately Identify Emerging Environmental Chemical Contaminants Application Compendium Identify Emerging Contaminants in Air, Water, and Soil Today’s environmental analysis must be done more reliably, more efficiently, and with higher quality results than ever before. Unfortunately, pharmaceuticals,…
Key words
tof, tofmass, masscounts, countscompounds, compoundsaccurate, accuratewere, werescreening, screeningagilent, agilentusing, usingwater, waterpcdl, pcdlmasshunter, masshunterions, ionscompound, compoundenvironmental
Quantification of Per- and Polyfluoroalkyl Substances in Drinking Water
2021|Agilent Technologies|Applications
Application Note Environmental Quantification of Per- and Polyfluoroalkyl Substances in Drinking Water According to EPA Method 533 using an Agilent 6546 LC/Q-TOF Authors Kathy Hunt and Ralph Hindle Vogon Laboratory Services Cochrane, AB, Canada Tarun Anumol Agilent Technologies, Inc. Wilmington,…
Key words
targeted, targetedlcmrl, lcmrlacquisition, acquisitiontof, tofretention, retentiontime, timeprecursor, precursorpfas, pfascompounds, compoundsquadrupole, quadrupolecollision, collisionmass, massmin, minanalysis, analysisprecursors
Long-Term Robustness of Agilent LC/Q-TOF Systems for Untargeted Lipidomics
2023|Agilent Technologies|Applications
Application Note Metabolomics/ Clinical Research Long-Term Robustness of Agilent LC/Q-TOF Systems for Untargeted Lipidomics In large plasma cohort studies for clinical research Authors Abstract Tomas Cajka, Brian DeFelice, Gert Wohlgemuth, Tong Shen, and Oliver Fiehn University of California, Davis Genome…
Key words
esl, eslteddy, teddyuntargeted, untargetedmass, massmda, mdanormalization, normalizationlipidomics, lipidomicslipidomic, lipidomictof, tofcohort, cohortanalyses, analysesagilent, agilentpool, poolmetabolomics, metabolomicssamples