Clonal fitness inferred from time-series modelling of single-cell cancer genomes Journal Article


Authors: Salehi, S.; Kabeer, F.; Ceglia, N.; Andronescu, M.; Williams, M. J.; Campbell, K. R.; Masud, T.; Wang, B.; Biele, J.; Brimhall, J.; Gee, D.; Lee, H.; Ting, J.; Zhang, A. W.; Tran, H.; O’Flanagan, C.; Dorri, F.; Rusk, N.; de Algara, T. R.; Lee, S. R.; Cheng, B. Y. C.; Eirew, P.; Kono, T.; Pham, J.; Grewal, D.; Lai, D.; Moore, R.; Mungall, A. J.; Marra, M. A.; IMAXT Consortium; McPherson, A.; Bouchard-Côté, A.; Aparicio, S.; Shah, S. P.
Contributor: Vazquez-Garcia, I.
Article Title: Clonal fitness inferred from time-series modelling of single-cell cancer genomes
Abstract: Progress in defining genomic fitness landscapes in cancer, especially those defined by copy number alterations (CNAs), has been impeded by lack of time-series single-cell sampling of polyclonal populations and temporal statistical models1–7. Here we generated 42,000 genomes from multi-year time-series single-cell whole-genome sequencing of breast epithelium and primary triple-negative breast cancer (TNBC) patient-derived xenografts (PDXs), revealing the nature of CNA-defined clonal fitness dynamics induced by TP53 mutation and cisplatin chemotherapy. Using a new Wright–Fisher population genetics model8,9 to infer clonal fitness, we found that TP53 mutation alters the fitness landscape, reproducibly distributing fitness over a larger number of clones associated with distinct CNAs. Furthermore, in TNBC PDX models with mutated TP53, inferred fitness coefficients from CNA-based genotypes accurately forecast experimentally enforced clonal competition dynamics. Drug treatment in three long-term serially passaged TNBC PDXs resulted in cisplatin-resistant clones emerging from low-fitness phylogenetic lineages in the untreated setting. Conversely, high-fitness clones from treatment-naive controls were eradicated, signalling an inversion of the fitness landscape. Finally, upon release of drug, selection pressure dynamics were reversed, indicating a fitness cost of treatment resistance. Together, our findings define clonal fitness linked to both CNA and therapeutic resistance in polyclonal tumours. © 2021, The Author(s), under exclusive licence to Springer Nature Limited.
Keywords: genotype; phylogenetics; genome; disease treatment; experimental study; cell component; cancer; induced response; martes
Journal Title: Nature
Volume: 595
Issue: 7868
ISSN: 0028-0836
Publisher: Nature Publishing Group  
Date Published: 2021-07-22
Start Page: 585
End Page: 590
Language: English
PMCID: PMC8396073
DOI: 10.1038/s41586-021-03648-3
PROVIDER: scopus
PUBMED: 34163070
DOI/URL:
Notes: Article -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Sohrab Prakash Shah
    86 Shah
  2. Diljot Singh Grewal
    8 Grewal
  3. Nicholas Ceglia
    21 Ceglia
  4. Nicole Rusk
    11 Rusk