Proteogenomic integration reveals therapeutic targets in breast cancer xenografts

Recent advances in mass spectrometry (MS) have enabled extensive analysis of cancer proteomes. Here, we employed quantitative proteomics to profile protein expression across 24 breast cancer patient-derived xenograft (PDX) models. Integrated proteogenomic analysis shows positive correlation between...

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Bibliographic Details
Main Author: Carr, Steven A (Contributor)
Other Authors: Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2017-06-19T20:25:53Z.
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Online Access:Get fulltext
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100 1 0 |a Carr, Steven A  |e author 
100 1 0 |a Koch Institute for Integrative Cancer Research at MIT  |e contributor 
100 1 0 |a Carr, Steven A  |e contributor 
245 0 0 |a Proteogenomic integration reveals therapeutic targets in breast cancer xenografts 
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520 |a Recent advances in mass spectrometry (MS) have enabled extensive analysis of cancer proteomes. Here, we employed quantitative proteomics to profile protein expression across 24 breast cancer patient-derived xenograft (PDX) models. Integrated proteogenomic analysis shows positive correlation between expression measurements from transcriptomic and proteomic analyses; further, gene expression-based intrinsic subtypes are largely re-capitulated using non-stromal protein markers. Proteogenomic analysis also validates a number of predicted genomic targets in multiple receptor tyrosine kinases. However, several protein/phosphoprotein events such as overexpression of AKT proteins and ARAF, BRAF, HSP90AB1 phosphosites are not readily explainable by genomic analysis, suggesting that druggable translational and/or post-translational regulatory events may be uniquely diagnosed by MS. Drug treatment experiments targeting HER2 and components of the PI3K pathway supported proteogenomic response predictions in seven xenograft models. Our study demonstrates that MS-based proteomics can identify therapeutic targets and highlights the potential of PDX drug response evaluation to annotate MS-based pathway activities. 
520 |a National Cancer Institute (U.S.) (Grant R01CA180006) 
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655 7 |a Article 
773 |t Nature Communications