title: Pragmatic precision oncology: the secondary uses of clinical tumor molecular profiling.
abstract: Precision oncology increasingly utilizes molecular profiling of tumors to determine treatment decisions with targeted therapeutics. The molecular profiling data is valuable in the treatment of individual patients as well as for multiple secondary uses.
  
  
  
  To automatically parse, categorize, and aggregate clinical molecular profile data generated during cancer care as well as use this data to address multiple secondary use cases.
  
  
  
  A system to parse, categorize and aggregate molecular profile data was created. A naÿve Bayesian classifier categorized results according to clinical groups. The accuracy of these systems were validated against a published expertly-curated subset of molecular profiling data.
  
  
  
  Following one year of operation, 819 samples have been accurately parsed and categorized to generate a data repository of 10,620 genetic variants. The database has been used for operational, clinical trial, and discovery science research.
  
  
  
  A real-time database of molecular profiling data is a pragmatic solution to several knowledge management problems in the practice and science of precision oncology.
authors.affiliation: Department of Medicine, Division of Hematology & Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, 37232 Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, 37203 USA matthew.j.rioth@vanderbilt.edu.
authors.forename: Matthew J
authors.initials: MJ
authors.lastname: Rioth
authors.affiliation: Department of Medicine, Division of Hematology & Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, 37232.
authors.forename: Ramya
authors.initials: R
authors.lastname: Thota
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, 37203 USA.
authors.forename: David B
authors.initials: DB
authors.lastname: Staggs
authors.affiliation: Department of Medicine, Division of Hematology & Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, 37232.
authors.forename: Douglas B
authors.initials: DB
authors.lastname: Johnson
authors.affiliation: Department of Medicine, Division of Hematology & Oncology, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, 37232 Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, 37203 USA.
authors.forename: Jeremy L
authors.initials: JL
authors.lastname: Warner
mesh_terms: D030541:Databases, Genetic; D020869:Gene Expression Profiling; D006801:Humans; D008495:Medical Oncology; D009369:Neoplasms / Q000235:genetics*; D057285:Precision Medicine