title: Inference of synergy/antagonism between anticancer drugs from the pooled analysis of clinical trials.
abstract: BACKGROUND
  Drug interactions can have a significant impact on the response to combinatorial therapy for anticancer treatment. In some instances these interactions can be anticipated based on pre-clinical models. However, the anticipation of drug interactions in the clinical context is in general a challenging task.
  
  
  METHODS
  Here we propose the pooled analysis of clinical trials as a mean to investigate drug interactions in anticancer therapy. To this end we collected 1,163 Phase II clinical trials with response data on over 53,745 subjects.
  
  
  RESULTS
  We provide statistical definitions of drugs resulting in clinical synergy and antagonism and identify drug combinations in each group. We also quantify the possibility of inferring interactions between three or more drugs from parameters characterizing the action of single and two-drugs combinations.
  
  
  CONCLUSIONS
  Our analysis provides a statistical methodology to track the performance of drug combinations in anticancer therapy and to quantify drug interactions in the clinical context.
authors.affiliation: Department of Radiation Oncology and Center for Systems Biology, The Cancer Institute of New Jersey, New Brunswick, NJ 08901, USA.
authors.forename: Wenfeng
authors.initials: W
authors.lastname: Kang
authors.forename: Robert S
authors.initials: RS
authors.lastname: DiPaola
authors.forename: Alexei
authors.initials: A
authors.lastname: Vazquez
mesh_terms: D000970:Antineoplastic Agents / Q000627:therapeutic use*; D000971:Antineoplastic Combined Chemotherapy Protocols / Q000627:therapeutic use; D017322:Clinical Trials, Phase II as Topic; D004336:Drug Antagonism; D004357:Drug Synergism; D006801:Humans; D008962:Models, Theoretical; D009369:Neoplasms / Q000188:drug therapy*
chemical_list: D000970:Antineoplastic Agents