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Metabolic reprogramming and Notch activity distinguish between non-small cell lung cancer subtypes

Producción científica: Articlerevisión exhaustiva

47 Citas (Scopus)

Resumen

Background: Previous studies suggested that the metabolism is differently reprogrammed in the major subtypes of non-small cell lung cancer (NSCLC), squamous cell carcinomas (SCC) and adenocarcinomas (AdC). However, a comprehensive analysis of this differential metabolic reprogramming is lacking. Methods: Publicly available gene expression data from human lung cancer samples and cell lines were analysed. Stable isotope resolved metabolomics were performed on SCC and ADC tumours in human patients and in freshly resected tumour slices. Results: Analysis of multiple transcriptomics data from human samples identified a SCC-distinguishing enzyme gene signature. SCC tumours from patients infused with [U-13C]-glucose and SCC tissue slices incubated with stable isotope tracers demonstrated differential glucose and glutamine catabolism compared to AdCs or non-cancerous lung, confirming increased activity through pathways defined by the SCC metabolic gene signature. Furthermore, the upregulation of Notch target genes was a distinguishing feature of SCCs, which correlated with the metabolic signature. Notch and MYC-driven murine lung tumours recapitulated the SCC-distinguishing metabolic reprogramming. However, the differences between SCCs and AdCs disappear in established cell lines in 2D culture. Conclusions: Our data emphasise the importance of studying lung cancer metabolism in vivo. They also highlight potential targets for therapeutic intervention in SCC patients including differentially expressed enzymes that catalyse reactions in glycolysis, glutamine catabolism, serine, nucleotide and glutathione biosynthesis.

Idioma originalEnglish
Páginas (desde-hasta)51-64
Número de páginas14
PublicaciónBritish Journal of Cancer
Volumen121
N.º1
DOI
EstadoPublished - jul 2 2019

Nota bibliográfica

Publisher Copyright:
© 2019, The Author(s).

Financiación

Funding: This work was supported in part by National Science Foundation EPSCoR infrastructure grants EPS-0447479 (to T.W.-M.F.); NIH grants 5P01CA163223 (to A.N.L and T.W.-M.F) 1R01CA118434-01A2, 1RO1CA101199-01, 3R01CA118434-02S1 and 1R01ES022191-01 (to T.W.-M. F.), and 1U24DK097215-01A1 (to R.M.H., T.W.M.F. and A. N.L.); the University of Louisville CTSPGP/ARRA grant 20044; the Kentucky Lung Cancer Research Program grants OGMB090354B1 and OGMB101380 (to T.W.-M.F. and A.N.L.). This work was also supported by the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001223), the UK Medical Research Council (FC001223), and the Wellcome Trust (FC001223).

FinanciadoresNúmero del financiador
UK Medical Research Council, Engineering and Physical Sciences Research Council
NSF-ARRA
University of Louisville CTSPGP/ARRA
The Francis Crick Institute
National Institutes of Health (NIH)
Foundation for the National Institutes of Health
Wellcome Trust
National Childhood Cancer Registry – National Cancer InstituteR01CA118434, R01CA101199, P01CA163223
University of Kentucky, University of Louisville20044
Kentucky Lung Cancer Research ProgramOGMB090354B1, OGMB101380
National Institutes of Health/National Institute of Environmental Health SciencesR01ES022191
Yorkshire Cancer Research/Cancer Research UK Sheffield Cancer CentreFC001223
National Science Foundation EPSCoR infrastructureEPS-0447479
National Institute of Diabetes and Digestive and Kidney DiseasesU24DK097215
National Science Foundation Arctic Social Science Program0447479

    ODS de las Naciones Unidas

    Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

    1. Good health and well being
      Good health and well being

    ASJC Scopus subject areas

    • Oncology
    • Cancer Research

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