4.8 Article

Proteogenomics connects somatic mutations to signalling in breast cancer

期刊

NATURE
卷 534, 期 7605, 页码 55-+

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/nature18003

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资金

  1. National Cancer Institute (NCI) [U24CA160034, U24CA160036, U24CA160019, U24CA159988, U24CA160035]
  2. CPRIT grant [RR140033]
  3. Leidos contract [13XS068]
  4. National Cancer Institute (NCI) CPTAC award [U24CA160035]
  5. NCI Cancer Center Support Grant [P30 CA91842]
  6. NIH/NCRR Washington University-ICTS [UL1 RR024992]
  7. Susan G. Komen for the Cure [KG 090422]
  8. Swedish Research Council [Dnr 2014-323]
  9. [SUB-R01GM108711]

向作者/读者索取更多资源

Somatic mutations have been extensively characterized in breast cancer, but the effects of these genetic alterations on the proteomic landscape remain poorly understood. Here we describe quantitative mass-spectrometry-based proteomic and phosphoproteomic analyses of 105 genomically annotated breast cancers, of which 77 provided high-quality data. Integrated analyses provided insights into the somatic cancer genome including the consequences of chromosomal loss, such as the 5q deletion characteristic of basal-like breast cancer. Interrogation of the 5q trans-effects against the Library of Integrated Network-based Cellular Signatures, connected loss of CETN3 and SKP1 to elevated expression of epidermal growth factor receptor (EGFR), and SKP1 loss also to increased SRC tyrosine kinase. Global proteomic data confirmed a stromal-enriched group of proteins in addition to basal and luminal clusters, and pathway analysis of the phosphoproteome identified a G-protein-coupled receptor cluster that was not readily identified at the mRNA level. In addition to ERBB2, other amplicon-associated highly phosphorylated kinases were identified, including CDK12, PAK1, PTK2, RIPK2 and TLK2. We demonstrate that proteogenomic analysis of breast cancer elucidates the functional consequences of somatic mutations, narrows candidate nominations for driver genes within large deletions and amplified regions, and identifies therapeutic targets.

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