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Compensatory metabolic networks in pancreatic cancers upon perturbation of glutamine metabolism

Author

Listed:
  • Douglas E. Biancur

    (Dana-Farber Cancer Institute
    Perlmutter Cancer Center, NYU Medical School)

  • Joao A. Paulo

    (Harvard Medical School)

  • Beata Małachowska

    (Medical University of Lodz
    Postgraduate School of Molecular Medicine, Medical University of Warsaw)

  • Maria Quiles Del Rey

    (Dana-Farber Cancer Institute)

  • Cristovão M. Sousa

    (Dana-Farber Cancer Institute)

  • Xiaoxu Wang

    (Dana-Farber Cancer Institute)

  • Albert S. W. Sohn

    (Perlmutter Cancer Center, NYU Medical School)

  • Gerald C. Chu

    (Brigham and Women’s Hospital, Harvard Medical School)

  • Steven P. Gygi

    (Harvard Medical School)

  • J. Wade Harper

    (Harvard Medical School)

  • Wojciech Fendler

    (Dana-Farber Cancer Institute
    Medical University of Lodz)

  • Joseph D. Mancias

    (Dana-Farber Cancer Institute
    Harvard Medical School)

  • Alec C. Kimmelman

    (Dana-Farber Cancer Institute
    Perlmutter Cancer Center, NYU Medical School)

Abstract

Pancreatic ductal adenocarcinoma is a notoriously difficult-to-treat cancer and patients are in need of novel therapies. We have shown previously that these tumours have altered metabolic requirements, making them highly reliant on a number of adaptations including a non-canonical glutamine (Gln) metabolic pathway and that inhibition of downstream components of Gln metabolism leads to a decrease in tumour growth. Here we test whether recently developed inhibitors of glutaminase (GLS), which mediates an early step in Gln metabolism, represent a viable therapeutic strategy. We show that despite marked early effects on in vitro proliferation caused by GLS inhibition, pancreatic cancer cells have adaptive metabolic networks that sustain proliferation in vitro and in vivo. We use an integrated metabolomic and proteomic platform to understand this adaptive response and thereby design rational combinatorial approaches. We demonstrate that pancreatic cancer metabolism is adaptive and that targeting Gln metabolism in combination with these adaptive responses may yield clinical benefits for patients.

Suggested Citation

  • Douglas E. Biancur & Joao A. Paulo & Beata Małachowska & Maria Quiles Del Rey & Cristovão M. Sousa & Xiaoxu Wang & Albert S. W. Sohn & Gerald C. Chu & Steven P. Gygi & J. Wade Harper & Wojciech Fendle, 2017. "Compensatory metabolic networks in pancreatic cancers upon perturbation of glutamine metabolism," Nature Communications, Nature, vol. 8(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_ncomms15965
    DOI: 10.1038/ncomms15965
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    Cited by:

    1. Lorey K. Smith & Tiffany Parmenter & Margarete Kleinschmidt & Eric P. Kusnadi & Jian Kang & Claire A. Martin & Peter Lau & Riyaben Patel & Julie Lorent & David Papadopoli & Anna Trigos & Teresa Ward &, 2022. "Adaptive translational reprogramming of metabolism limits the response to targeted therapy in BRAFV600 melanoma," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    2. Yandan Yang & Arnold Bolomsky & Thomas Oellerich & Ping Chen & Michele Ceribelli & Björn Häupl & George W. Wright & James D. Phelan & Da Wei Huang & James W. Lord & Callie K. Winkle & Xin Yu & Jan Wis, 2022. "Oncogenic RAS commandeers amino acid sensing machinery to aberrantly activate mTORC1 in multiple myeloma," Nature Communications, Nature, vol. 13(1), pages 1-19, December.

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