PANOPLY: Omics-Guided Drug Prioritization Method Tailored to an Individual Patient.

Journal: JCO clinical cancer informatics
PMID: 30652605

Abstract

PURPOSE: The majority of patients with cancer receive treatments that are minimally informed by omics data. We propose a precision medicine computational framework, PANOPLY (Precision Cancer Genomic Report: Single Sample Inventory), to identify and prioritize drug targets and cancer therapy regimens.

Authors

  • Krishna R Kalari
    All authors: Mayo Clinic, Rochester, MN.
  • Jason P Sinnwell
    All authors: Mayo Clinic, Rochester, MN.
  • Kevin J Thompson
    All authors: Mayo Clinic, Rochester, MN.
  • Xiaojia Tang
    All authors: Mayo Clinic, Rochester, MN.
  • Erin E Carlson
    All authors: Mayo Clinic, Rochester, MN.
  • Jia Yu
    Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu 610212, Sichuan, China; School of Clinical Medicine, Soochow University, Suzhou 215123, Jiangsu, China.
  • Peter T Vedell
    All authors: Mayo Clinic, Rochester, MN.
  • James N Ingle
    All authors: Mayo Clinic, Rochester, MN.
  • Richard M Weinshilboum
    All authors: Mayo Clinic, Rochester, MN.
  • Judy C Boughey
    All authors: Mayo Clinic, Rochester, MN.
  • Liewei Wang
    All authors: Mayo Clinic, Rochester, MN.
  • Matthew P Goetz
    All authors: Mayo Clinic, Rochester, MN.
  • Vera Suman
    All authors: Mayo Clinic, Rochester, MN.

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