Targeting MYC-enhanced glycolysis for the treatment of small cell lung cancer.
Targeting MYC-enhanced glycolysis for the treatment of small cell lung cancer.
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DOI:
10.1186/s40170-021-00270-9
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发表时间:
2021-09-23
影响因子:
5.9
通讯作者:
Byers LA
中科院分区:
文献类型:
--
作者:
Cargill KR;Stewart CA;Park EM;Ramkumar K;Gay CM;Cardnell RJ;Wang Q;Diao L;Shen L;Fan YH;Chan WK;Lorenzi PL;Oliver TG;Wang J;Byers LA
The transcription factor MYC is overexpressed in 30% of small cell lung cancer (SCLC) tumors and is known to modulate the balance between two major pathways of metabolism: glycolysis and mitochondrial respiration. This duality of MYC underscores the importance of further investigation into its role in SCLC metabolism and could lead to insights into metabolic targeting approaches. We investigated differences in metabolic pathways in transcriptional and metabolomics datasets based on cMYC expression in patient and cell line samples. Metabolic pathway utilization was evaluated by flow cytometry and Seahorse extracellular flux methodology. Glycolysis inhibition was evaluated in vitro and in vivo using PFK158, a small molecular inhibitor of PFKFB3. MYC-overexpressing SCLC patient samples and cell lines exhibited increased glycolysis gene expression directly mediated by MYC. Further, MYC-overexpressing cell lines displayed enhanced glycolysis consistent with the Warburg effect, while cell lines with low MYC expression appeared more reliant on oxidative metabolism. Inhibition of glycolysis with PFK158 preferentially attenuated glucose uptake, ATP production, and lactate in MYC-overexpressing cell lines. Treatment with PFK158 in xenografts delayed tumor growth and decreased glycolysis gene expression. Our study highlights an in-depth characterization of SCLC metabolic programming and presents glycolysis as a targetable mechanism downstream of MYC that could offer therapeutic benefit in a subset of SCLC patients. The online version contains supplementary material available at 10.1186/s40170-021-00270-9.
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影响因子:
64.5
作者:
Ho PC;Bihuniak JD;Macintyre AN;Staron M;Liu X;Amezquita R;Tsui YC;Cui G;Micevic G;Perales JC;Kleinstein SH;Abel ED;Insogna KL;Feske S;Locasale JW;Bosenberg MW;Rathmell JC;Kaech SM
通讯作者:
Kaech SM
影响因子:
64.5
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Faubert B;Li KY;Cai L;Hensley CT;Kim J;Zacharias LG;Yang C;Do QN;Doucette S;Burguete D;Li H;Huet G;Yuan Q;Wigal T;Butt Y;Ni M;Torrealba J;Oliver D;Lenkinski RE;Malloy CR;Wachsmann JW;Young JD;Kernstine K;DeBerardinis RJ
通讯作者:
DeBerardinis RJ
影响因子:
50.3
作者:
Gay CM;Stewart CA;Park EM;Diao L;Groves SM;Heeke S;Nabet BY;Fujimoto J;Solis LM;Lu W;Xi Y;Cardnell RJ;Wang Q;Fabbri G;Cargill KR;Vokes NI;Ramkumar K;Zhang B;Della Corte CM;Robson P;Swisher SG;Roth JA;Glisson BS;Shames DS;Wistuba II;Wang J;Quaranta V;Minna J;Heymach JV;Byers LA
通讯作者:
Byers LA
影响因子:
158.5
作者:
Horn, L.;Mansfield, A. S.;Liu, S. V.
通讯作者:
Liu, S. V.
影响因子:
16
作者:
Chen, Pei-Hsuan;Cai, Ling;DeBerardinis, Ralph J.
通讯作者:
DeBerardinis, Ralph J.