Artificial Intelligence-Assisted Serial Analysis of Clinical Cancer Genomics Data Identifies Changing Treatment Recommendations and Therapeutic Targets.

Journal: Clinical cancer research : an official journal of the American Association for Cancer Research
Published Date: Jun 1, 2022

Abstract

PURPOSE: Given the pace of predictive biomarker and targeted therapy development, it is unknown whether repeat annotation of the same next-generation sequencing data can identify additional clinically actionable targets that could be therapeutically leveraged. In this study, we sought to determine the predictive yield of serial reanalysis of clinical tumor sequencing data.

Authors

  • Catherine G Fischer
    Cancer Prevention Fellowship Program, Division of Cancer Prevention, NCI, Bethesda, Maryland.
  • Aparna Pallavajjala
    Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • LiQun Jiang
    Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Valsamo Anagnostou
    The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
  • Jessica Tao
    Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD.
  • Emily Adams
    Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • James R Eshleman
    Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Christopher D Gocke
    Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Ming-Tseh Lin
    Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Elizabeth A Platz
    Department of Oncology, Johns Hopkins University School of Medicine, and the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland.
  • Rena R Xian
    Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland.

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