201. The Life History of 21 Breast Cancers
- Author
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Richard Rance, Sancha Martin, Michael R. Stratton, Anita Langerød, Stuart McLaren, Lucy Stebbings, Samuel Aparicio, Serena Nik-Zainal, Kenric Leung, Göran Jönsson, Elli Papaemmanuil, David J. McBride, King Wai Lau, Christopher Greenman, Catherine Leroy, Adam Butler, Odette Mariani, Anieta M. Sieuwerts, Jon W. Teague, Susanna L. Cooke, Peter Van Loo, Patrick S. Tarpey, Gilles Thomas, Peter J. Campbell, Andrew Tutt, Anne Vincent Salomon, Keiran Raine, Laura Mudie, Sandrine Boyault, Manasa Ramakrishna, Helen Davies, Ignacio Varela, Andrea L. Richardson, Adam Shlien, Anne Lise Børresen-Dale, Åke Borg, Mingming Jia, John L. Marshall, Philip J. Stephens, Aquila Fatima, Penelope Miron, Ludmil B. Alexandrov, Stephen J. Gamble, Andrew Menzies, David T. Jones, P. Andrew Futreal, Jonathan Hinton, David C. Wedge, and Graham R. Bignell
- Subjects
Oncology ,medicine.medical_specialty ,Lineage (genetic) ,Cell ,Breast Neoplasms ,Biology ,medicine.disease_cause ,Somatic evolution in cancer ,General Biochemistry, Genetics and Molecular Biology ,Article ,Metastasis ,Clonal Evolution ,03 medical and health sciences ,0302 clinical medicine ,Breast cancer ,Internal medicine ,medicine ,Humans ,Point Mutation ,Life history ,030304 developmental biology ,Genetics ,Chromosome Aberrations ,0303 health sciences ,Mutation ,Biochemistry, Genetics and Molecular Biology(all) ,Point mutation ,Cancer ,medicine.disease ,3. Good health ,medicine.anatomical_structure ,Cell Transformation, Neoplastic ,030220 oncology & carcinogenesis ,Kataegis ,Female ,Algorithms - Abstract
Summary Cancer evolves dynamically as clonal expansions supersede one another driven by shifting selective pressures, mutational processes, and disrupted cancer genes. These processes mark the genome, such that a cancer's life history is encrypted in the somatic mutations present. We developed algorithms to decipher this narrative and applied them to 21 breast cancers. Mutational processes evolve across a cancer's lifespan, with many emerging late but contributing extensive genetic variation. Subclonal diversification is prominent, and most mutations are found in just a fraction of tumor cells. Every tumor has a dominant subclonal lineage, representing more than 50% of tumor cells. Minimal expansion of these subclones occurs until many hundreds to thousands of mutations have accumulated, implying the existence of long-lived, quiescent cell lineages capable of substantial proliferation upon acquisition of enabling genomic changes. Expansion of the dominant subclone to an appreciable mass may therefore represent the final rate-limiting step in a breast cancer's development, triggering diagnosis. PaperClip, Graphical Abstract Highlights ► Genome-wide analyses of mutations emerging through time in 21 breast cancers ► Minimal expansion of subclones occurs until thousands of mutations have accumulated ► Cancer-specific signatures of point mutations and genomic instability emerge late ► ERBB2 amplification begins early but continues to evolve over long molecular time, Newly developed algorithms allow the reconstruction of the genomic history of different breast cancers, tracing the temporal evolution of each tumor and the emergence of the dominant subclones that will eventually trigger diagnosis.
- Published
- 2012