Genomics

Dataset Information

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BC Cancer, part of the Provincial Health Services Authority, Technology Development Office, Data Access Committee (PHSA TDO DAC)

ABSTRACT: Access to data generated by BCCA is made available by completing the data access agreement for review by the data access committee and will be granted to qualified investigators for appropriate use.

PROVIDER: EGAC00000000011 | EGA |

REPOSITORIES: EGA

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Publications

Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution.

Eirew Peter P   Steif Adi A   Khattra Jaswinder J   Ha Gavin G   Yap Damian D   Farahani Hossein H   Gelmon Karen K   Chia Stephen S   Mar Colin C   Wan Adrian A   Laks Emma E   Biele Justina J   Shumansky Karey K   Rosner Jamie J   McPherson Andrew A   Nielsen Cydney C   Roth Andrew J L AJ   Lefebvre Calvin C   Bashashati Ali A   de Souza Camila C   Siu Celia C   Aniba Radhouane R   Brimhall Jazmine J   Oloumi Arusha A   Osako Tomo T   Bruna Alejandra A   Sandoval Jose L JL   Algara Teresa T   Greenwood Wendy W   Leung Kaston K   Cheng Hongwei H   Xue Hui H   Wang Yuzhuo Y   Lin Dong D   Mungall Andrew J AJ   Moore Richard R   Zhao Yongjun Y   Lorette Julie J   Nguyen Long L   Huntsman David D   Eaves Connie J CJ   Hansen Carl C   Marra Marco A MA   Caldas Carlos C   Shah Sohrab P SP   Aparicio Samuel S  

Nature 20141126 7539

Human cancers, including breast cancers, comprise clones differing in mutation content. Clones evolve dynamically in space and time following principles of Darwinian evolution, underpinning important emergent features such as drug resistance and metastasis. Human breast cancer xenoengraftment is used as a means of capturing and studying tumour biology, and breast tumour xenografts are generally assumed to be reasonable models of the originating tumours. However, the consequences and reproducibil  ...[more]

PMID: 25470049

Publication: 1/17

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