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Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.

Authors :
Drake, Justin M.
Paull, Evan O.
Graham, Nicholas A.
Lee, John K.
Smith, Bryan A.
Titz, Bjoern
Stoyanova, Tanya
Faltermeier, Claire M.
Uzunangelov, Vladislav
Carlin, Daniel E.
Fleming, Daniel Teo
Wong, Christopher K.
Newton, Yulia
Sudha, Sud
Vashisht, Ajay A.
Huang, Jiaoti
Wohlschlegel, James A.
Graeber, Thomas G.
Witte, Owen N.
Stuart, Joshua M.
Source :
Cell. Aug2016, Vol. 166 Issue 4, p1041-1054. 14p.
Publication Year :
2016

Abstract

Summary We used clinical tissue from lethal metastatic castration-resistant prostate cancer (CRPC) patients obtained at rapid autopsy to evaluate diverse genomic, transcriptomic, and phosphoproteomic datasets for pathway analysis. Using Tied Diffusion through Interacting Events (TieDIE), we integrated differentially expressed master transcriptional regulators, functionally mutated genes, and differentially activated kinases in CRPC tissues to synthesize a robust signaling network consisting of druggable kinase pathways. Using MSigDB hallmark gene sets, six major signaling pathways with phosphorylation of several key residues were significantly enriched in CRPC tumors after incorporation of phosphoproteomic data. Individual autopsy profiles developed using these hallmarks revealed clinically relevant pathway information potentially suitable for patient stratification and targeted therapies in late stage prostate cancer. Here, we describe phosphorylation-based cancer hallmarks using integrated personalized signatures (pCHIPS) that shed light on the diversity of activated signaling pathways in metastatic CRPC while providing an integrative, pathway-based reference for drug prioritization in individual patients. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00928674
Volume :
166
Issue :
4
Database :
Academic Search Index
Journal :
Cell
Publication Type :
Academic Journal
Accession number :
117336278
Full Text :
https://doi.org/10.1016/j.cell.2016.07.007