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Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin Hoadley, KA et al. Cell 158(4):929-944.

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Presentation on theme: "Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin Hoadley, KA et al. Cell 158(4):929-944."— Presentation transcript:

1 Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin Hoadley, KA et al. Cell 158(4):929-944

2 Background  Cancers classified based on pathological criteria – tissue site of origin  TCGA reported genome-wide studies of 10 malignancies  Each single-tissue cancer type can be divided into 3-4 molecular subtypes

3 Motivation  Possible shared molecular alterations across cancers from different tissues - unclear  Do disease subtypes span multiple tissues of origin?  Molecular signatures may give distinct taxonomy relative to tissue-of-origin-based classification (current method)

4 Pan-Cancer-12

5 COCA  “Cluster of cluster assignments”  Input : binary vectors representing each platform- specific cluster group  Each platform influences integrated result with weight proportional to # of distinct subtypes from consensus clustering  Output : Reclusters samples according to vectors

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15 Results  1/10 cancer patients classified differently based on new taxonomy  Guide new therapeutic decisions  Bladder cancers most heterogeneous  “Cell-of-origin” features still dominate molecular taxonomy, but refined taxonomy provides independent info


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