Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer

Evan O. Paull, Nicholas A. Graham, John K. Lee, Bryan A. Smith, Bjoern Titz, Tanya Stoyanova, Claire M. Faltermeier, Vladislav Uzunangelov, Daniel E. Carlin, Daniel Teo Fleming, Christopher K. Wong, Yulia Newton, Sud Sudha, Ajay A. Vashisht, Jiaoti Huang, James A. Wohlschlegel, Thomas G. Graeber, Owen N. Witte, Joshua M. Stuart

    Research output: Contribution to journalArticlepeer-review

    101 Scopus citations


    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.

    Original languageEnglish (US)
    Pages (from-to)1041-1054
    Number of pages14
    Issue number4
    StatePublished - Aug 11 2016

    ASJC Scopus subject areas

    • Biochemistry, Genetics and Molecular Biology(all)


    Dive into the research topics of 'Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer'. Together they form a unique fingerprint.

    Cite this