Literature DB >> 30146487

Isotope Tracing of Human Clear Cell Renal Cell Carcinomas Demonstrates Suppressed Glucose Oxidation In Vivo.

Kevin D Courtney1, Divya Bezwada2, Tomoyuki Mashimo3, Kumar Pichumani4, Vamsidhara Vemireddy5, Alexander M Funk4, Jennifer Wimberly6, Sarah S McNeil7, Payal Kapur8, Yair Lotan6, Vitaly Margulis6, Jeffrey A Cadeddu6, Ivan Pedrosa9, Ralph J DeBerardinis2, Craig R Malloy10, Robert M Bachoo11, Elizabeth A Maher12.   

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common form of human kidney cancer. Histological and molecular analyses suggest that ccRCCs have significantly altered metabolism. Recent human studies of lung cancer and intracranial malignancies demonstrated an unexpected preservation of carbohydrate oxidation in the tricarboxylic acid (TCA) cycle. To test the capacity of ccRCC to oxidize substrates in the TCA cycle, we infused 13C-labeled fuels in ccRCC patients and compared labeling patterns in tumors and adjacent kidney. After infusion with [U-13C]glucose, ccRCCs displayed enhanced glycolytic intermediate labeling, suppressed pyruvate dehydrogenase flow, and reduced TCA cycle labeling, consistent with the Warburg effect. Comparing 13C labeling among ccRCC, brain, and lung tumors revealed striking differences. Primary ccRCC tumors demonstrated the highest enrichment in glycolytic intermediates and lowest enrichment in TCA cycle intermediates. Among human tumors analyzed by intraoperative 13C infusions, ccRCC is the first to demonstrate a convincing shift toward glycolytic metabolism.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cancer metabolism; clear cell renal cell carcinoma; human cancer; kidney cancer; mass spectrometry; nuclear magnetic resonance spectroscopy (NMR); stable isotope tracing

Mesh:

Substances:

Year:  2018        PMID: 30146487      PMCID: PMC6221993          DOI: 10.1016/j.cmet.2018.07.020

Source DB:  PubMed          Journal:  Cell Metab        ISSN: 1550-4131            Impact factor:   27.287


  33 in total

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8.  Addressing metabolic heterogeneity in clear cell renal cell carcinoma with quantitative Dixon MRI.

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Journal:  Cancer Cell       Date:  2015-01-12       Impact factor: 31.743

Review 10.  Meta-analysis of the diagnostic performance of [18F]FDG-PET and PET/CT in renal cell carcinoma.

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Journal:  Cancer Imaging       Date:  2012-10-26       Impact factor: 3.909

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Review 6.  A critical review of the role of M2PYK in the Warburg effect.

Authors:  Robert A Harris; Aron W Fenton
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7.  tcaSIM: A Simulation Program for Optimal Design of 13C Tracer Experiments for Analysis of Metabolic Flux by NMR and Mass Spectroscopy.

Authors:  Jeffry R Alger; A Dean Sherry; Craig R Malloy
Journal:  Curr Metabolomics       Date:  2018

Review 8.  Nutrient metabolism and cancer in the in vivo context: a metabolic game of give and take.

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Authors:  Qiushi Sun; Teresa W-M Fan; Andrew N Lane; Richard M Higashi
Journal:  Trends Analyt Chem       Date:  2019-10-01       Impact factor: 12.296

10.  Tobacco smoking induces metabolic reprogramming of renal cell carcinoma.

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Journal:  J Clin Invest       Date:  2021-01-04       Impact factor: 14.808

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