2016
DOI: 10.1038/nature18003
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Proteogenomics connects somatic mutations to signalling in breast cancer

Abstract: Summary Somatic mutations have been extensively characterized in breast cancer, but the effects of these genetic alterations on the proteomic landscape remain poorly understood. 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 allowed insights into the somatic cancer genome including the consequences of chromosomal loss, such as the 5q deletion characteristic of basal-… Show more

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Cited by 1,457 publications
(1,682 citation statements)
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References 44 publications
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“…Although emerging mass spectrometry approaches have the ability to identify adaptive responses, RPPA provides a cost-effective, efficient approach for sparse unbiased analysis of pathways involved in adaptive responses. In particular, RPPA has increased sensitivity for a number of phosphoproteins over mass spectrometry, and mass spectrometry is “blind” to a number of phosphoproteins due to a lack of convenient cleavage sites (52). …”
Section: Discussionmentioning
confidence: 99%
“…Although emerging mass spectrometry approaches have the ability to identify adaptive responses, RPPA provides a cost-effective, efficient approach for sparse unbiased analysis of pathways involved in adaptive responses. In particular, RPPA has increased sensitivity for a number of phosphoproteins over mass spectrometry, and mass spectrometry is “blind” to a number of phosphoproteins due to a lack of convenient cleavage sites (52). …”
Section: Discussionmentioning
confidence: 99%
“…Following these advances, proteomic approaches have been used to address multiple clinical questions in the context of various cancer types. The major area of application is the profiling of cancer-relevant tissues-including the proteomes of colorectal cancer [7,8] and prostate cancer [9], as well as the subtyping of lymphoma [10] and breast cancer [11,12] patients. Although proteomics has become an extremely powerful approach for studying biomedical questions, offering unique advantages compared to other omics techniques, the functional interpretation of the vast amounts of data of a typical proteomics experiment often poses analytical challenges to the biological domain experts.…”
Section: Introductionmentioning
confidence: 99%
“…In MS proteins can be quantified using either a label-free approach such as spectral counting (SC), which was used by the CPTAC to profile colon cancer 8 , or by relative quantitation, which was used to profile breast and ovary tumors 9,10 . SC counts the number of times the MS instrument sampled any peptide that was assigned to a specific protein, with either full or fractional weight of ambiguous peptides were retained.…”
Section: Selected Properties Of Ms and Rna-seq Assaysmentioning
confidence: 99%
“…We demonstrate the potential scale of this problem by integrating CPTAC breast cancer MS data, including RNA-seq data and results from antibody-based Reversed Phase Protein Arrays (RPPA) data 9 . Analysis was restricted to the 1000 most variable breast cancer proteins identified by MS.…”
Section: Global Properties Of Proteome Measures Across Multiple Assaysmentioning
confidence: 99%