title: Complementing genomics and transcriptomics: Phosphoproteomics illuminates systems biology in prostate cancer.
abstract: Integration of phosphoproteomics with traditional genomics and transcriptomics provides a more comprehensive overview of the signaling networks in advanced prostate cancer for immediate preclinical and future clinical use. Our recent publication introduces computational approaches for integrating the phosphoproteome, specifically with the intent of identifying important kinase signaling networks in advanced-stage prostate cancer.
authors.affiliation: Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA; Graduate Program in Cellular and Molecular Pharmacology, Graduate School of Biomedical Sciences, Rutgers, The State University of New Jersey, Piscataway, NJ, USA; Graduate Program in Quantitative Biomedicine, Graduate School - New Brunswick, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
authors.forename: Victor M
authors.initials: VM
authors.lastname: Tan
authors.affiliation: Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA; Graduate Program in Cellular and Molecular Pharmacology, Graduate School of Biomedical Sciences, Rutgers, The State University of New Jersey, Piscataway, NJ, USA; Graduate Program in Quantitative Biomedicine, Graduate School - New Brunswick, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
authors.forename: Larry C
authors.initials: LC
authors.lastname: Cheng
authors.affiliation: Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA; Graduate Program in Cellular and Molecular Pharmacology, Graduate School of Biomedical Sciences, Rutgers, The State University of New Jersey, Piscataway, NJ, USA; Graduate Program in Quantitative Biomedicine, Graduate School - New Brunswick, Rutgers, The State University of New Jersey, Piscataway, NJ, USA; Department of Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
authors.forename: Justin M
authors.initials: JM
authors.lastname: Drake
keywords: Castration-resistant prostate cancer; kinases; phosphoproteomics; precision medicine; systems biology