| Literature DB >> 33212010 |
Karsten Krug1, Eric J Jaehnig2, Shankha Satpathy1, Lili Blumenberg3, Alla Karpova4, Meenakshi Anurag2, George Miles2, Philipp Mertins5, Yifat Geffen1, Lauren C Tang6, David I Heiman1, Song Cao4, Yosef E Maruvka1, Jonathan T Lei2, Chen Huang2, Ramani B Kothadia1, Antonio Colaprico7, Chet Birger1, Jarey Wang8, Yongchao Dou2, Bo Wen2, Zhiao Shi2, Yuxing Liao2, Maciej Wiznerowicz9, Matthew A Wyczalkowski4, Xi Steven Chen7, Jacob J Kennedy10, Amanda G Paulovich10, Mathangi Thiagarajan11, Christopher R Kinsinger12, Tara Hiltke12, Emily S Boja12, Mehdi Mesri12, Ana I Robles12, Henry Rodriguez12, Thomas F Westbrook8, Li Ding4, Gad Getz13, Karl R Clauser1, David Fenyö14, Kelly V Ruggles3, Bing Zhang2, D R Mani15, Steven A Carr16, Matthew J Ellis17, Michael A Gillette18.
Abstract
The integration of mass spectrometry-based proteomics with next-generation DNA and RNA sequencing profiles tumors more comprehensively. Here this "proteogenomics" approach was applied to 122 treatment-naive primary breast cancers accrued to preserve post-translational modifications, including protein phosphorylation and acetylation. Proteogenomics challenged standard breast cancer diagnoses, provided detailed analysis of the ERBB2 amplicon, defined tumor subsets that could benefit from immune checkpoint therapy, and allowed more accurate assessment of Rb status for prediction of CDK4/6 inhibitor responsiveness. Phosphoproteomics profiles uncovered novel associations between tumor suppressor loss and targetable kinases. Acetylproteome analysis highlighted acetylation on key nuclear proteins involved in the DNA damage response and revealed cross-talk between cytoplasmic and mitochondrial acetylation and metabolism. Our results underscore the potential of proteogenomics for clinical investigation of breast cancer through more accurate annotation of targetable pathways and biological features of this remarkably heterogeneous malignancy.Entities:
Keywords: CDK 4/6 inhibitors; CPTAC; acetylation; breast cancer; genomics; immune checkpoint therapy; mass spectrometry; phosphoproteomics; proteogenomics; proteomics
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Year: 2020 PMID: 33212010 PMCID: PMC8077737 DOI: 10.1016/j.cell.2020.10.036
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582