Multiplatform Analysis of 12 Cancer Types Reveals Molecular - - PowerPoint PPT Presentation

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Multiplatform Analysis of 12 Cancer Types Reveals Molecular - - PowerPoint PPT Presentation

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


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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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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

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Motivation

  • Possible shared molecular alterations across

cancers from different tissues - unclear

  • Do disease subtypes span multiple tissues of
  • rigin?
  • Molecular signatures may give distinct

taxonomy relative to tissue-of-origin-based classification (current method)

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Pan-Cancer-12

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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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Results

  • 1/10 cancer patients classified differently based
  • n new taxonomy
  • Guide new therapeutic decisions
  • Bladder cancers most heterogeneous
  • “Cell-of-origin” features still dominate molecular

taxonomy, but refined taxonomy provides independent info