Literature DB >> 26853747

Environment Impacts the Metabolic Dependencies of Ras-Driven Non-Small Cell Lung Cancer.

Shawn M Davidson1, Thales Papagiannakopoulos2, Benjamin A Olenchock3, Julia E Heyman2, Mark A Keibler4, Alba Luengo5, Matthew R Bauer2, Abhishek K Jha6, James P O'Brien2, Kerry A Pierce7, Dan Y Gui2, Lucas B Sullivan2, Thomas M Wasylenko4, Lakshmipriya Subbaraj2, Christopher R Chin2, Gregory Stephanopolous4, Bryan T Mott8, Tyler Jacks5, Clary B Clish7, Matthew G Vander Heiden9.   

Abstract

Cultured cells convert glucose to lactate, and glutamine is the major source of tricarboxylic acid (TCA)-cycle carbon, but whether the same metabolic phenotype is found in tumors is less studied. We infused mice with lung cancers with isotope-labeled glucose or glutamine and compared the fate of these nutrients in tumor and normal tissue. As expected, lung tumors exhibit increased lactate production from glucose. However, glutamine utilization by both lung tumors and normal lung was minimal, with lung tumors showing increased glucose contribution to the TCA cycle relative to normal lung tissue. Deletion of enzymes involved in glucose oxidation demonstrates that glucose carbon contribution to the TCA cycle is required for tumor formation. These data suggest that understanding nutrient utilization by tumors can predict metabolic dependencies of cancers in vivo. Furthermore, these data argue that the in vivo environment is an important determinant of the metabolic phenotype of cancer cells.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 26853747      PMCID: PMC4785096          DOI: 10.1016/j.cmet.2016.01.007

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


  45 in total

1.  A mitochondria-K+ channel axis is suppressed in cancer and its normalization promotes apoptosis and inhibits cancer growth.

Authors:  Sébastien Bonnet; Stephen L Archer; Joan Allalunis-Turner; Alois Haromy; Christian Beaulieu; Richard Thompson; Christopher T Lee; Gary D Lopaschuk; Lakshmi Puttagunta; Sandra Bonnet; Gwyneth Harry; Kyoko Hashimoto; Christopher J Porter; Miguel A Andrade; Bernard Thebaud; Evangelos D Michelakis
Journal:  Cancer Cell       Date:  2007-01       Impact factor: 31.743

2.  Human pancreatic cancer tumors are nutrient poor and tumor cells actively scavenge extracellular protein.

Authors:  Jurre J Kamphorst; Michel Nofal; Cosimo Commisso; Sean R Hackett; Wenyun Lu; Elda Grabocka; Matthew G Vander Heiden; George Miller; Jeffrey A Drebin; Dafna Bar-Sagi; Craig B Thompson; Joshua D Rabinowitz
Journal:  Cancer Res       Date:  2015-02-01       Impact factor: 12.701

3.  Analysis of lung tumor initiation and progression using conditional expression of oncogenic K-ras.

Authors:  E L Jackson; N Willis; K Mercer; R T Bronson; D Crowley; R Montoya; T Jacks; D A Tuveson
Journal:  Genes Dev       Date:  2001-12-15       Impact factor: 11.361

4.  Synergistic tumor suppressor activity of BRCA2 and p53 in a conditional mouse model for breast cancer.

Authors:  J Jonkers; R Meuwissen; H van der Gulden; H Peterse; M van der Valk; A Berns
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

Review 5.  Why do cancers have high aerobic glycolysis?

Authors:  Robert A Gatenby; Robert J Gillies
Journal:  Nat Rev Cancer       Date:  2004-11       Impact factor: 60.716

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.  Antitumor activity of the glutaminase inhibitor CB-839 in triple-negative breast cancer.

Authors:  Matt I Gross; Susan D Demo; Jennifer B Dennison; Lijing Chen; Tania Chernov-Rogan; Bindu Goyal; Julie R Janes; Guy J Laidig; Evan R Lewis; Jim Li; Andrew L Mackinnon; Francesco Parlati; Mirna L M Rodriguez; Peter J Shwonek; Eric B Sjogren; Timothy F Stanton; Taotao Wang; Jinfu Yang; Frances Zhao; Mark K Bennett
Journal:  Mol Cancer Ther       Date:  2014-02-12       Impact factor: 6.261

Review 8.  Tumor suppressors and cell metabolism: a recipe for cancer growth.

Authors:  Russell G Jones; Craig B Thompson
Journal:  Genes Dev       Date:  2009-03-01       Impact factor: 11.361

Review 9.  Dichloroacetate (DCA) as a potential metabolic-targeting therapy for cancer.

Authors:  E D Michelakis; L Webster; J R Mackey
Journal:  Br J Cancer       Date:  2008-09-02       Impact factor: 7.640

10.  Pancreatic cancers rely on a novel glutamine metabolism pathway to maintain redox balance.

Authors:  Costas A Lyssiotis; Jaekyoung Son; Lewis C Cantley; Alec C Kimmelman
Journal:  Cell Cycle       Date:  2013-06-10       Impact factor: 4.534

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  300 in total

Review 1.  Genetically Engineered Mouse Models of K-Ras-Driven Lung and Pancreatic Tumors: Validation of Therapeutic Targets.

Authors:  Matthias Drosten; Carmen Guerra; Mariano Barbacid
Journal:  Cold Spring Harb Perspect Med       Date:  2018-05-01       Impact factor: 6.915

Review 2.  Targeting Cancer Metabolism and Current Anti-Cancer Drugs.

Authors:  Witchuda Sukjoi; Jarunya Ngamkham; Paul V Attwood; Sarawut Jitrapakdee
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

3.  Targeting glutamine metabolism enhances tumor-specific immunity by modulating suppressive myeloid cells.

Authors:  Min-Hee Oh; Im-Hong Sun; Liang Zhao; Robert D Leone; Im-Meng Sun; Wei Xu; Samuel L Collins; Ada J Tam; Richard L Blosser; Chirag H Patel; Judson M Englert; Matthew L Arwood; Jiayu Wen; Yee Chan-Li; Lukáš Tenora; Pavel Majer; Rana Rais; Barbara S Slusher; Maureen R Horton; Jonathan D Powell
Journal:  J Clin Invest       Date:  2020-07-01       Impact factor: 14.808

Review 4.  Applications of metabolomics to study cancer metabolism.

Authors:  Akash K Kaushik; Ralph J DeBerardinis
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-04-25       Impact factor: 10.680

Review 5.  Review of metabolic pathways activated in cancer cells as determined through isotopic labeling and network analysis.

Authors:  Wentao Dong; Mark A Keibler; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2017-02-10       Impact factor: 9.783

6.  Loss of SETD2 Induces a Metabolic Switch in Renal Cell Carcinoma Cell Lines toward Enhanced Oxidative Phosphorylation.

Authors:  Jingping Liu; Paul D Hanavan; Katon Kras; Yvette W Ruiz; Erik P Castle; Douglas F Lake; Xianfeng Chen; Daniel O'Brien; Huijun Luo; Keith D Robertson; Haiwei Gu; Thai H Ho
Journal:  J Proteome Res       Date:  2018-11-27       Impact factor: 4.466

Review 7.  Understanding metabolism with flux analysis: From theory to application.

Authors:  Ziwei Dai; Jason W Locasale
Journal:  Metab Eng       Date:  2016-09-22       Impact factor: 9.783

Review 8.  Metabolomics and Isotope Tracing.

Authors:  Cholsoon Jang; Li Chen; Joshua D Rabinowitz
Journal:  Cell       Date:  2018-05-03       Impact factor: 41.582

Review 9.  Metabolic interactions with cancer epigenetics.

Authors:  Xia Gao; Michael A Reid; Mei Kong; Jason W Locasale
Journal:  Mol Aspects Med       Date:  2016-09-09

10.  Amino Acids Rather than Glucose Account for the Majority of Cell Mass in Proliferating Mammalian Cells.

Authors:  Aaron M Hosios; Vivian C Hecht; Laura V Danai; Marc O Johnson; Jeffrey C Rathmell; Matthew L Steinhauser; Scott R Manalis; Matthew G Vander Heiden
Journal:  Dev Cell       Date:  2016-03-07       Impact factor: 12.270

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