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SUMMARY:Understanding tumour heterogeneity in glioblastoma - Professor Sim
 on Tavaré
DTSTART:20160120T140000Z
DTEND:20160120T150000Z
UID:TALK63493@talks.cam.ac.uk
CONTACT:Emily Boyd
DESCRIPTION:We have undertaken an integrated genomic analysis of the evolu
 tion of Glioblastoma (GB) in individual patients across multiple spatial s
 cales. Our data reveal early clonal diversification generating a genetical
 ly complex and highly evolved disease environment at clinical presentation
 . We propose that these fundamental patient-specific tumor evolutionary dy
 namics underlie clinical phenotypic heterogeneity and may have implication
 s for the emergence of resistant disease. Using a Fluorescence-Guided Mult
 iple Sampling technique we obtained samples from the tumor mass\, the sub-
 ependymal zone and the non-fluorescent tumor margin. These data allow us t
 o study intra-tumour heterogeneity\, which is likely to be the key to unde
 rstanding treatment failure. I will describe our approach\, and discuss a 
 statistical problem that arises in the analysis of dependent samples.
LOCATION:MR4\, Centre for Mathematical Sciences\, Wilberforce Road\, Cambr
 idge
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