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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 Background Cancers classified based on pathological criteria tissue site of origin


  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

  6. 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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