Literature DB >> 33860280

Isotope tracing reveals glycolysis and oxidative metabolism in childhood tumors of multiple histologies.

Kendra Johnston1,2,3, Panayotis Pachnis3, Alpaslan Tasdogan3, Brandon Faubert3, Lauren G Zacharias3, Hieu Sy Vu3, Laurie Rodgers-Augustyniak2, Allison Johnson2, Fang Huang3, Sean Ricciardo2,4, Zhiyu Zhao3, Thomas P Mathews3, Tanya Watt1,2, Patrick Leavey1,2, Ralph J DeBerardinis1,3,5,6.   

Abstract

Background: Survival among children with high-risk solid tumors remains poor. Reprogrammed metabolism promotes tumor growth and may contain therapeutic liabilities. Tumor metabolism has been assessed in adults using intra-operative 13C-glucose infusions. Pediatric tumors differ from adult cancers in their low mutational burden and derivation from embryonic tissues. Here we used 13C infusions to examine tumor metabolism in children, comparing phenotypes among tumor types and between childhood and adult cancers.
Methods: Patients recruited to study NCT03686566 received an intra-operative infusion of [U-13C]glucose during tumor resection to evaluate central carbon pathways in the tumor, with concurrent metabolomics to provide a broad overview of metabolism. Differential characteristics were determined using multiple comparison tests and mixed effect analyses. Findings: We studied 23 tumors from 22 patients. All tumors analyzed by [U-13C]glucose contained labeling in glycolytic and tricarboxylic acid (TCA) cycle intermediates. Labeling in the TCA cycle indicated activity of pyruvate dehydrogenase (PDH) and pyruvate carboxylase (PC), with PDH predominating. Neuroblastomas had high lactate labeling relative to other childhood cancers and lung cancer, and were distinguished by abundant tyrosine catabolites consistent with catecholamine synthesis. Conclusions: Intra-operative [U13C]glucose infusions are safe and informative in pediatric cancer. Tumors of various histologies use glycolysis and oxidative metabolism, with subtype-selective differences evident from this small cohort. Expanding this cohort may uncover predictive biomarkers and therapeutic targets from tumor metabolism. Funding: N.C.I grants to P.L. (R21CA220090-01A1) and R.J.D. (R35CA22044901); H.H.M.I. funding to R.J.D.; Children's Clinical Research Advisory Committee funding to K.J.

Entities:  

Keywords:  Cancer; glucose; isotopes; metabolism; metabolomics; neuroblastoma; sarcoma

Mesh:

Substances:

Year:  2021        PMID: 33860280      PMCID: PMC8045768          DOI: 10.1016/j.medj.2021.01.002

Source DB:  PubMed          Journal:  Med (N Y)        ISSN: 2666-6340


  45 in total

1.  Declining childhood and adolescent cancer mortality.

Authors:  Malcolm A Smith; Sean F Altekruse; Peter C Adamson; Gregory H Reaman; Nita L Seibel
Journal:  Cancer       Date:  2014-05-22       Impact factor: 6.860

2.  Metabolic Diversity in Human Non-Small Cell Lung Cancer Cells.

Authors:  Pei-Hsuan Chen; Ling Cai; Kenneth Huffman; Chendong Yang; Jiyeon Kim; Brandon Faubert; Lindsey Boroughs; Bookyung Ko; Jessica Sudderth; Elizabeth A McMillan; Luc Girard; Dong Chen; Michael Peyton; Misty D Shields; Bo Yao; David S Shames; Hyun Seok Kim; Brenda Timmons; Ikuo Sekine; Rebecca Britt; Stephanie Weber; Lauren A Byers; John V Heymach; Jing Chen; Michael A White; John D Minna; Guanghua Xiao; Ralph J DeBerardinis
Journal:  Mol Cell       Date:  2019-09-26       Impact factor: 17.970

Review 3.  Mechanisms and Implications of Metabolic Heterogeneity in Cancer.

Authors:  Jiyeon Kim; Ralph J DeBerardinis
Journal:  Cell Metab       Date:  2019-09-03       Impact factor: 27.287

Review 4.  Neuroblastoma.

Authors:  Katherine K Matthay; John M Maris; Gudrun Schleiermacher; Akira Nakagawara; Crystal L Mackall; Lisa Diller; William A Weiss
Journal:  Nat Rev Dis Primers       Date:  2016-11-10       Impact factor: 52.329

5.  Metabolism of [U-13 C]glucose in human brain tumors in vivo.

Authors:  Elizabeth A Maher; Isaac Marin-Valencia; Robert M Bachoo; Tomoyuki Mashimo; Jack Raisanen; Kimmo J Hatanpaa; Ashish Jindal; F Mark Jeffrey; Changho Choi; Christopher Madden; Dana Mathews; Juan M Pascual; Bruce E Mickey; Craig R Malloy; Ralph J DeBerardinis
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6.  The metabolic profile of tumors depends on both the responsible genetic lesion and tissue type.

Authors:  Mariia O Yuneva; Teresa W M Fan; Thaddeus D Allen; Richard M Higashi; Dana V Ferraris; Takashi Tsukamoto; José M Matés; Francisco J Alonso; Chunmei Wang; Youngho Seo; Xin Chen; J Michael Bishop
Journal:  Cell Metab       Date:  2012-02-08       Impact factor: 27.287

7.  EWS/FLI is a Master Regulator of Metabolic Reprogramming in Ewing Sarcoma.

Authors:  Jason M Tanner; Claire Bensard; Peng Wei; Nathan M Krah; John C Schell; Jamie Gardiner; Joshua Schiffman; Stephen L Lessnick; Jared Rutter
Journal:  Mol Cancer Res       Date:  2017-07-18       Impact factor: 5.852

Review 8.  Hallmarks of cancer: the next generation.

Authors:  Douglas Hanahan; Robert A Weinberg
Journal:  Cell       Date:  2011-03-04       Impact factor: 41.582

9.  Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden.

Authors:  Zachary R Chalmers; Caitlin F Connelly; David Fabrizio; Laurie Gay; Siraj M Ali; Riley Ennis; Alexa Schrock; Brittany Campbell; Adam Shlien; Juliann Chmielecki; Franklin Huang; Yuting He; James Sun; Uri Tabori; Mark Kennedy; Daniel S Lieber; Steven Roels; Jared White; Geoffrey A Otto; Jeffrey S Ross; Levi Garraway; Vincent A Miller; Phillip J Stephens; Garrett M Frampton
Journal:  Genome Med       Date:  2017-04-19       Impact factor: 11.117

Review 10.  Mutant Isocitrate Dehydrogenase Inhibitors as Targeted Cancer Therapeutics.

Authors:  Danielle Golub; Nishanth Iyengar; Siddhant Dogra; Taylor Wong; Devin Bready; Karen Tang; Aram S Modrek; Dimitris G Placantonakis
Journal:  Front Oncol       Date:  2019-05-17       Impact factor: 6.244

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  5 in total

Review 1.  Isotope tracing in health and disease.

Authors:  Wentao Dong; Eshaan S Rawat; Gregory Stephanopoulos; Monther Abu-Remaileh
Journal:  Curr Opin Biotechnol       Date:  2022-06-20       Impact factor: 10.279

Review 2.  Stable isotope tracing to assess tumor metabolism in vivo.

Authors:  Brandon Faubert; Alpaslan Tasdogan; Sean J Morrison; Thomas P Mathews; Ralph J DeBerardinis
Journal:  Nat Protoc       Date:  2021-09-17       Impact factor: 17.021

3.  Comprehensive Metabolic Profiling of MYC-Amplified Medulloblastoma Tumors Reveals Key Dependencies on Amino Acid, Tricarboxylic Acid and Hexosamine Pathways.

Authors:  Khoa Pham; Allison R Hanaford; Brad A Poore; Micah J Maxwell; Heather Sweeney; Akhila Parthasarathy; Jesse Alt; Rana Rais; Barbara S Slusher; Charles G Eberhart; Eric H Raabe
Journal:  Cancers (Basel)       Date:  2022-03-03       Impact factor: 6.575

4.  In vivo isotope tracing reveals a requirement for the electron transport chain in glucose and glutamine metabolism by tumors.

Authors:  Panayotis Pachnis; Zheng Wu; Brandon Faubert; Alpaslan Tasdogan; Wen Gu; Spencer Shelton; Ashley Solmonson; Aparna D Rao; Akash K Kaushik; Thomas J Rogers; Jessalyn M Ubellacker; Collette A LaVigne; Chendong Yang; Bookyung Ko; Vijayashree Ramesh; Jessica Sudderth; Lauren G Zacharias; Misty S Martin-Sandoval; Duyen Do; Thomas P Mathews; Zhiyu Zhao; Prashant Mishra; Sean J Morrison; Ralph J DeBerardinis
Journal:  Sci Adv       Date:  2022-08-31       Impact factor: 14.957

5.  Local production of lactate, ribose phosphate, and amino acids within human triple-negative breast cancer.

Authors:  Jonathan M Ghergurovich; Jessica D Lang; Maren K Levin; Natalia Briones; Salvatore J Facista; Claudius Mueller; Alexis J Cowan; Matthew J McBride; Esther San Roman Rodriguez; Aaron Killian; Tuoc Dao; Jeffrey Lamont; Alison Barron; Xiaoyang Su; William P D Hendricks; Virginia Espina; Daniel D Von Hoff; Joyce O'Shaughnessy; Joshua D Rabinowitz
Journal:  Med (N Y)       Date:  2021-04-14
  5 in total

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