title: A signature for success.
abstract: The expression pattern of 13 genes can predict whether cancer cells will be sensitive to drugs that inhibit a protein that represses the activity of p53.
authors.affiliation: Howard Hughes Medical Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado at Boulder, Boulder, United States.
authors.forename: Joaquín M
authors.initials: JM
authors.lastname: Espinosa
authors.affiliation: Howard Hughes Medical Institute and Department of Molecular, Cellular and Developmental Biology, University of Colorado at Boulder, Boulder, United States.
authors.forename: Kelly D
authors.initials: KD
authors.lastname: Sullivan
mesh_terms: D015415:Biomarkers / Q000378:metabolism*; D015972:Gene Expression Regulation, Neoplastic / Q000187:drug effects*; D006801:Humans; D007546:Isoquinolines / Q000494:pharmacology*; D009369:Neoplasms / Q000188:drug therapy*; D018579:Patient Selection; D010879:Piperazines / Q000494:pharmacology*; D051736:Proto-Oncogene Proteins c-mdm2 / Q000037:antagonists & inhibitors*; D016159:Tumor Suppressor Protein p53 / Q000235:genetics*
chemical_list: D015415:Biomarkers; D007546:Isoquinolines; D010879:Piperazines; D016159:Tumor Suppressor Protein p53; D051736:Proto-Oncogene Proteins c-mdm2
keywords: human; human biology; medicine; p53; predictive signature; translational oncology