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Exploiting evolutionary steering to induce collateral drug sensitivity in cancer.
Acar, Ahmet; Nichol, Daniel; Fernandez-Mateos, Javier; Cresswell, George D; Barozzi, Iros; Hong, Sung Pil; Trahearn, Nicholas; Spiteri, Inmaculada; Stubbs, Mark; Burke, Rosemary; Stewart, Adam; Caravagna, Giulio; Werner, Benjamin; Vlachogiannis, Georgios; Maley, Carlo C; Magnani, Luca; Valeri, Nicola; Banerji, Udai; Sottoriva, Andrea.
Affiliation
  • Acar A; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Nichol D; Department of Biological Sciences, Middle East Technical University, Ankara, Turkey.
  • Fernandez-Mateos J; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Cresswell GD; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Barozzi I; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Hong SP; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Trahearn N; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Spiteri I; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Stubbs M; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Burke R; CRUK Cancer Therapeutics Unit, The Institute of Cancer Research, London, UK.
  • Stewart A; CRUK Cancer Therapeutics Unit, The Institute of Cancer Research, London, UK.
  • Caravagna G; Clinical Pharmacology-Adaptive Therapy Group, Division of Cancer Therapeutics and Clinical Studies, The Institute of Cancer Research, London, UK.
  • Werner B; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Vlachogiannis G; Evolutionary Genomics and Modelling Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Maley CC; Gastrointestinal Cancer Biology and Genomics Team, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Magnani L; Arizona Cancer Evolution Center, Biodesign Institute, Arizona State University, Tempe, USA.
  • Valeri N; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Banerji U; Gastrointestinal Cancer Biology and Genomics Team, Centre for Evolution and Cancer, The Institute of Cancer Research, London, UK.
  • Sottoriva A; Department of Medicine, The Royal Marsden NHS Foundation Trust, London, UK.
Nat Commun ; 11(1): 1923, 2020 04 21.
Article in En | MEDLINE | ID: mdl-32317663
ABSTRACT
Drug resistance mediated by clonal evolution is arguably the biggest problem in cancer therapy today. However, evolving resistance to one drug may come at a cost of decreased fecundity or increased sensitivity to another drug. These evolutionary trade-offs can be exploited using 'evolutionary steering' to control the tumour population and delay resistance. However, recapitulating cancer evolutionary dynamics experimentally remains challenging. Here, we present an approach for evolutionary steering based on a combination of single-cell barcoding, large populations of 108-109 cells grown without re-plating, longitudinal non-destructive monitoring of cancer clones, and mathematical modelling of tumour evolution. We demonstrate evolutionary steering in a lung cancer model, showing that it shifts the clonal composition of the tumour in our favour, leading to collateral sensitivity and proliferative costs. Genomic profiling revealed some of the mechanisms that drive evolved sensitivity. This approach allows modelling evolutionary steering strategies that can potentially control treatment resistance.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Evolution, Molecular / Drug Resistance, Neoplasm / Lung Neoplasms / Antineoplastic Agents Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2020 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Evolution, Molecular / Drug Resistance, Neoplasm / Lung Neoplasms / Antineoplastic Agents Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Nat Commun Journal subject: BIOLOGIA / CIENCIA Year: 2020 Document type: Article Affiliation country:
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