title: Anticipating designer drug-resistant cancer cells.
abstract: Successful use of anticancer designer drugs is likely to depend on simultaneous combinations of these drugs to minimize the development of resistant cancer cells. Considering the knowledge base of cancer signaling pathways, mechanisms of designer drug resistance should be anticipated, and early clinical trials could be designed to include arms that combine new drugs specifically with currently US Food and Drug Administration (FDA)-approved drugs expected to blunt alternative signaling pathways. In this review, we indicate examples of alternative signal pathways for recent anticancer drugs, and the use of original, Python-based software to systematically identify signaling pathways that could facilitate resistance to drugs targeting a particular protein. Pathway alternatives can be assessed at http://www.alternativesignalingpathways.com, developed with this review article.
authors.affiliation: Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
authors.forename: Mark L
authors.initials: ML
authors.lastname: Frangione
authors.affiliation: Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
authors.forename: John H
authors.initials: JH
authors.lastname: Lockhart
authors.affiliation: Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
authors.forename: Daniel T
authors.initials: DT
authors.lastname: Morton
authors.affiliation: New York Medical College, Valhalla, NY 10595, USA.
authors.forename: Libia M
authors.initials: LM
authors.lastname: Pava
authors.affiliation: Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA; Immunology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA. Electronic address: gblanck@health.usf.edu.
authors.forename: George
authors.initials: G
authors.lastname: Blanck
mesh_terms: D000818:Animals; D000970:Antineoplastic Agents / Q000627:therapeutic use*; D014408:Biomarkers, Tumor / Q000235:genetics / Q000378:metabolism; D017076:Computer-Aided Design; D030562:Databases, Protein; D015195:Drug Design; D019008:Drug Resistance, Neoplasm; D020022:Genetic Predisposition to Disease; D006801:Humans; D025202:Molecular Diagnostic Techniques; D058990:Molecular Targeted Therapy; D009154:Mutation; D009369:Neoplasms / Q000188:drug therapy* / Q000235:genetics / Q000378:metabolism / Q000473:pathology; D010641:Phenotype; D057285:Precision Medicine; D011237:Predictive Value of Tests; D015398:Signal Transduction / Q000187:drug effects; D012984:Software
chemical_list: D000970:Antineoplastic Agents; D014408:Biomarkers, Tumor