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SUMMARY:From data to bench to bedside - prognostic markers and therapeutic
  targets in breast cancer - Gyan Bhanot (Rutgers)
DTSTART:20110328T150000Z
DTEND:20110328T160000Z
UID:TALK26850@talks.cam.ac.uk
CONTACT:Florian Markowetz
DESCRIPTION:I will describe two case studies in breast cancer to identify 
 and validate prognostic markers and therapeutic targets in breast cancer f
 rom high throughput data  In the first study\, I will show how "supervised
  outlier analysis" applied to gene expression data identified novel amplic
 ons on Chr 17 and Chr 8 which predict failure of tamoxifen therapy in ER+/
 HER2- breast cancer. This finding was validated in a CGH dataset and is cu
 rrently being validated further in a large retrospective study (with survi
 val information) using FISH on TMA samples. Next I will describe the motiv
 ation\, definition and use of a "gene centrality" score which identified Y
 ES1 (and other kinases) as potential drug targets in an identifiable subse
 t of triple negative breast cancers. Knock down of YES1 in "basal like" ce
 ll lines showed significant growth inhibition\, suggesting that drugs like
  Dasatinib\, which target the SRC pathway\, may be an effective treatment 
 for breast cancer patients with triple negative tumors. \n\nHosted by Nitz
 an Rosenfeld.
LOCATION:Cancer Research UK Cambridge Research Institute\, Lecture Theatre
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