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  Proteomic maps of breast cancer subtypes

Tyanova, S., Albrechtsen, R., Kronqvist, P., Cox, J., Mann, M., & Geiger, T. (2016). Proteomic maps of breast cancer subtypes. NATURE COMMUNICATIONS, 7: 10259. doi:10.1038/ncomms10259.

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 Creators:
Tyanova, Stefka1, 2, Author              
Albrechtsen, Reidar3, Author
Kronqvist, Pauliina3, Author
Cox, Juergen1, 2, Author              
Mann, Matthias2, Author              
Geiger, Tamar2, Author              
Affiliations:
1Cox, Jürgen / Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society, ou_2063284              
2Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
3external, ou_persistent22              

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Free keywords: QUANTITATIVE PROTEOMICS; MOLECULAR PORTRAITS; MICROARRAY ANALYSIS; GENE; TUMORS; QUANTIFICATION; IDENTIFICATION; ENRICHMENT; ACCURATE; REVEAL
 Abstract: Systems-wide profiling of breast cancer has almost always entailed RNA and DNA analysis by microarray and sequencing techniques. Marked developments in proteomic technologies now enable very deep profiling of clinical samples, with high identification and quantification accuracy. We analysed 40 oestrogen receptor positive (luminal), Her2 positive and triple negative breast tumours and reached a quantitative depth of >10,000 proteins. These proteomic profiles identified functional differences between breast cancer subtypes, related to energy metabolism, cell growth, mRNA translation and cell-cell communication. Furthermore, we derived a signature of 19 proteins, which differ between the breast cancer subtypes, through support vector machine (SVM)-based classification and feature selection. Remarkably, only three proteins of the signature were associated with gene copy number variations and eleven were also reflected on the mRNA level. These breast cancer features revealed by our work provide novel insights that may ultimately translate to development of subtype-specific therapeutics.

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Language(s): eng - English
 Dates: 2016
 Publication Status: Published online
 Pages: 11
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: ISI: 000369020400002
DOI: 10.1038/ncomms10259
 Degree: -

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Title: NATURE COMMUNICATIONS
Source Genre: Journal
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Publ. Info: MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND : NATURE PUBLISHING GROUP
Pages: - Volume / Issue: 7 Sequence Number: 10259 Start / End Page: - Identifier: ISSN: 2041-1723