A new genome-driven integrated classification of breast cancer and its implications

被引:240
作者
Dawson, Sarah-Jane [1 ,2 ,3 ,4 ]
Rueda, Oscar M. [1 ,2 ]
Aparicio, Samuel [5 ,6 ]
Caldas, Carlos [1 ,2 ,3 ,4 ,7 ]
机构
[1] Univ Cambridge, Cambridge Inst, Canc Res UK, Li Ka Shing Ctr, Cambridge CB2 0RE, England
[2] Univ Cambridge, Dept Oncol, Cambridge CB2 0RE, England
[3] Cambridge Univ Hosp NHS Fdn Trust, Addenbrookes Hosp, Cambridge Breast Unit, Cambridge, England
[4] NIHR Cambridge Biomed Res Ctr, Cambridge, England
[5] Univ British Columbia, Dept Pathol & Lab Med, Vancouver, BC V5Z 1M9, Canada
[6] British Columbia Canc Res Ctr, Vancouver, BC V5Z 1L3, Canada
[7] Cambridge Expt Canc Med Ctr, Cambridge, England
关键词
breast cancer; classification; genomic; MOLECULAR CHARACTERIZATION; MUTATIONAL EVOLUTION; PROGNOSTIC-FACTORS; EXPRESSION; SUBTYPE; TUMORS; PROTEIN; S6K1; MTOR; REARRANGEMENT;
D O I
10.1038/emboj.2013.19
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
Breast cancer is a group of heterogeneous diseases that show substantial variation in their molecular and clinical characteristics. This heterogeneity poses significant challenges not only in breast cancer management, but also in studying the biology of the disease. Recently, rapid progress has been made in understanding the genomic diversity of breast cancer. These advances led to the characterisation of a new genome-driven integrated classification of breast cancer, which substantially refines the existing classification systems currently used. The novel classification integrates molecular information on the genomic and transcriptomic landscapes of breast cancer to define 10 integrative clusters, each associated with distinct clinical outcomes and providing new insights into the underlying biology and potential molecular drivers. These findings have profound implications both for the individualisation of treatment approaches, bringing us a step closer to the realisation of personalised cancer management in breast cancer, but also provide a new framework for studying the underlying biology of each novel subtype. The EMBO Journal (2013) 32, 617-628. doi:10.1038/emboj.2013.19; Published online 8 February 2013
引用
收藏
页码:617 / 628
页数:12
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