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dc.date.accessioned2021-10-27T19:53:48Z
dc.date.available2021-10-27T19:53:48Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/133609
dc.description.abstract© 2020 The Authors 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.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.CELL.2020.10.036en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceElsevieren_US
dc.titleProteogenomic Landscape of Breast Cancer Tumorigenesis and Targeted Therapyen_US
dc.typeArticleen_US
dc.relation.journalCellen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-09-10T17:45:03Z
dspace.orderedauthorsKrug, K; Jaehnig, EJ; Satpathy, S; Blumenberg, L; Karpova, A; Anurag, M; Miles, G; Mertins, P; Geffen, Y; Tang, LC; Heiman, DI; Cao, S; Maruvka, YE; Lei, JT; Huang, C; Kothadia, RB; Colaprico, A; Birger, C; Wang, J; Dou, Y; Wen, B; Shi, Z; Liao, Y; Wiznerowicz, M; Wyczalkowski, MA; Chen, XS; Kennedy, JJ; Paulovich, AG; Thiagarajan, M; Kinsinger, CR; Hiltke, T; Boja, ES; Mesri, M; Robles, AI; Rodriguez, H; Westbrook, TF; Ding, L; Getz, G; Clauser, KR; Fenyö, D; Ruggles, KV; Zhang, B; Mani, DR; Carr, SA; Ellis, MJ; Gillette, MA; Avanessian, SC; Cai, S; Chan, D; Chen, X; Edwards, NJ; Hoofnagle, AN; Kane, MH; Ketchum, KA; Kuhn, E; Levine, DA; Li, S; Liebler, DC; Liu, T; Luo, J; Madhavan, S; Maher, C; McDermott, JE; McGarvey, PB; Oberti, M; Pandey, A; Payne, SH; Ransohoff, DF; Rivers, RC; Rodland, KD; Rudnick, P; Sanders, ME; Shaw, KM; Shih, I-M; Slebos, RJC; Smith, RD; Snyder, M; Stein, SE; Tabb, DL; Thangudu, RR; Thomas, S; Wang, Y; White, FM; Whiteaker, JR; Whiteley, GA; Zhang, H; Zhang, Z; Zhao, Y; Zhu, H; Zimmerman, LJen_US
dspace.date.submission2021-09-10T17:45:07Z
mit.journal.volume183en_US
mit.journal.issue5en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US
mit.metadata.statusAuthority Work and Publication Information Needed


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