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MTOR signaling orchestrates stress-induced mutagenesis, facilitating adaptive evolution in cancer.
Cipponi, Arcadi; Goode, David L; Bedo, Justin; McCabe, Mark J; Pajic, Marina; Croucher, David R; Rajal, Alvaro Gonzalez; Junankar, Simon R; Saunders, Darren N; Lobachevsky, Pavel; Papenfuss, Anthony T; Nessem, Danielle; Nobis, Max; Warren, Sean C; Timpson, Paul; Cowley, Mark; Vargas, Ana C; Qiu, Min R; Generali, Daniele G; Keerthikumar, Shivakumar; Nguyen, Uyen; Corcoran, Niall M; Long, Georgina V; Blay, Jean-Yves; Thomas, David M.
Afiliação
  • Cipponi A; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia. a.cipponi@garvan.org.au d.thomas@garvan.org.au.
  • Goode DL; St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia.
  • Bedo J; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • McCabe MJ; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, VIC, Australia.
  • Pajic M; Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
  • Croucher DR; Department of Computing and Information Systems, the University of Melbourne, Parkville, VIC, Australia.
  • Rajal AG; Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
  • Junankar SR; St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia.
  • Saunders DN; Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
  • Lobachevsky P; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
  • Papenfuss AT; St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia.
  • Nessem D; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
  • Nobis M; St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia.
  • Warren SC; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
  • Timpson P; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
  • Cowley M; St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia.
  • Vargas AC; School of Medical Sciences, University of New South Wales, NSW, Australia.
  • Qiu MR; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia.
  • Generali DG; Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
  • Keerthikumar S; Department of Computing and Information Systems, the University of Melbourne, Parkville, VIC, Australia.
  • Nguyen U; Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
  • Corcoran NM; Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia.
  • Long GV; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
  • Blay JY; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia.
  • Thomas DM; St. Vincent's Clinical School, University of New South Wales, Sydney, NSW, Australia.
Science ; 368(6495): 1127-1131, 2020 06 05.
Article em En | MEDLINE | ID: mdl-32499442
ABSTRACT
In microorganisms, evolutionarily conserved mechanisms facilitate adaptation to harsh conditions through stress-induced mutagenesis (SIM). Analogous processes may underpin progression and therapeutic failure in human cancer. We describe SIM in multiple in vitro and in vivo models of human cancers under nongenotoxic drug selection, paradoxically enhancing adaptation at a competing intrinsic fitness cost. A genome-wide approach identified the mechanistic target of rapamycin (MTOR) as a stress-sensing rheostat mediating SIM across multiple cancer types and conditions. These observations are consistent with a two-phase model for drug resistance, in which an initially rapid expansion of genetic diversity is counterbalanced by an intrinsic fitness penalty, subsequently normalizing to complete adaptation under the new conditions. This model suggests synthetic lethal strategies to minimize resistance to anticancer therapy.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Adaptação Fisiológica / Mutagênese / Resistencia a Medicamentos Antineoplásicos / Serina-Treonina Quinases TOR / Neoplasias / Antineoplásicos Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Adaptação Fisiológica / Mutagênese / Resistencia a Medicamentos Antineoplásicos / Serina-Treonina Quinases TOR / Neoplasias / Antineoplásicos Idioma: En Ano de publicação: 2020 Tipo de documento: Article