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SUMMARY:A pathway-based classiﬁcation of human  breast cancer - Yinyin Y
 uan ( Cambridge Research Institute)
DTSTART:20100510T143000Z
DTEND:20100510T153000Z
UID:TALK24854@talks.cam.ac.uk
CONTACT:Stefan Gräf
DESCRIPTION:Gatza et al.\, PNAS\, 2010\n[ "Article":http://www.pnas.org/co
 ntent/107/15/6994 ]\n\nThe hallmark of human cancer is heterogeneity\, ref
 lecting the complexity and variability of the vast array of somatic mutati
 ons acquired during oncogenesis. An ability to dissect this heterogeneity\
 , to identify subgroups that represent common mechanisms of disease\, will
  be critical to understanding the complexities of genetic alterations and 
 to provide a framework to develop rational therapeutic strategies. Here\, 
 we describe a classification scheme for human breast cancer making use of 
 patterns of pathway activity to build on previous subtype characterization
 s using intrinsic gene expression signatures\, to provide a functional int
 erpretation of the gene expression data that can be linked to therapeutic 
 options. We show that the identified subgroups provide a robust mechanism 
 for classifying independent samples\, identifying tumors that share patter
 ns of pathway activity and exhibit similar clinical and biological propert
 ies\, including distinct patterns of chromosomal alterations that were not
  evident in the heterogeneous total population of tumors. We propose that 
 this classification scheme provides a basis for understanding the complex 
 mechanisms of oncogenesis that give rise to these tumors and to identify r
 ational opportunities for combination therapies.
LOCATION:Room 132\, CRI
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