Title |
The Life History of 21 Breast Cancers
|
---|---|
Published in |
Cell, May 2012
|
DOI | 10.1016/j.cell.2012.04.023 |
Pubmed ID | |
Authors |
Serena Nik-Zainal, Peter Van Loo, David C. Wedge, Ludmil B. Alexandrov, Christopher D. Greenman, Wai Lau, Keiran Raine, David Jones, John Marshall, Manasa Ramakrishna, Adam Shlien, Susanna L. Cooke, Jonathan Hinton, Andrew Menzies, Lucy A. Stebbings, Catherine Leroy, Mingming Jia, Richard Rance, Laura J. Mudie, Stephen J. Gamble, Philip J. Stephens, Stuart McLaren, Patrick S. Tarpey, Elli Papaemmanuil, Helen R. Davies, Ignacio Varela, David J. McBride, Graham R. Bignell, Kenric Leung, Adam P. Butler, Jon W. Teague, Sancha Martin, Goran Jönsson, Odette Mariani, Sandrine Boyault, Penelope Miron, Aquila Fatima, Anita Langerød, Samuel A.J.R. Aparicio, Andrew Tutt, Anieta M. Sieuwerts, Åke Borg, Gilles Thomas, Anne Vincent Salomon, Andrea L. Richardson, Anne-Lise Børresen-Dale, P. Andrew Futreal, Michael R. Stratton, Peter J. Campbell, Breast Cancer Working Group of the International Cancer Genome Consortium |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 17 | 40% |
Madagascar | 2 | 5% |
Japan | 2 | 5% |
United Kingdom | 2 | 5% |
Antarctica | 1 | 2% |
Chile | 1 | 2% |
Netherlands | 1 | 2% |
Canada | 1 | 2% |
Italy | 1 | 2% |
Other | 2 | 5% |
Unknown | 13 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 25 | 58% |
Scientists | 17 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 49 | 3% |
United Kingdom | 21 | 1% |
Germany | 10 | <1% |
Spain | 9 | <1% |
Canada | 5 | <1% |
Netherlands | 4 | <1% |
China | 4 | <1% |
Norway | 3 | <1% |
Ireland | 3 | <1% |
Other | 30 | 2% |
Unknown | 1681 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 467 | 26% |
Researcher | 448 | 25% |
Student > Master | 186 | 10% |
Student > Bachelor | 122 | 7% |
Other | 89 | 5% |
Other | 295 | 16% |
Unknown | 212 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 691 | 38% |
Biochemistry, Genetics and Molecular Biology | 395 | 22% |
Medicine and Dentistry | 249 | 14% |
Computer Science | 92 | 5% |
Mathematics | 25 | 1% |
Other | 130 | 7% |
Unknown | 237 | 13% |