Informatics at the Frontier of Cancer Research.

Journal: Cancer research
Published Date: Jul 2, 2025

Abstract

Digitized healthcare data, high-throughput profiling technologies, and data repositories have facilitated the emergence of a new era of cancer research. Each data stream requires specialized analysis methods for interpretation. The data-driven era of cancer research requires the development, enhancement, and sustainment of informatics technology software infrastructure, including fundamental methodology development in artificial intelligence and data science. We review current and emerging informatics technology developments for cancer research and discovery, spanning molecular and cellular characterization, image analysis, informatics, and therapeutics. Summarizing the diverse methods and applications of informatics throughout cancer research identifies themes and emerging areas for the next generation of cancer research.

Authors

  • Kathleen Noller
    University of Maryland, Baltimore, Baltimore, MD, United States.
  • Taxiarchis Botsis
    Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, United States. Electronic address: Taxiarchis.Botsis@fda.hhs.gov.
  • Pablo G Camara
    University of Pennsylvania, Philadelphia, PA, United States.
  • Lauren Ciotti
    Johns Hopkins University, Baltimore, MD, United States.
  • Lee Ad Cooper
    Northwestern University, Chicago, IL, United States.
  • Jeremy Goecks
    Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA. Electronic address: goecksj@ohsu.edu.
  • Malachi Griffith
    The Genome Institute, Washington University in St. Louis, St. Louis, Missouri, United States of America; Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America.
  • Brian J Haas
    Broad Institute of Harvard and MIT, Cambridge, MA, United States.
  • Trey Ideker
  • Rachel Karchin
    The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
  • Despina Kontos
    Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States.
  • Jiaying Lai
    Johns Hopkins University, Baltimore, MD, United States.
  • Daniel Marcus
  • Clifford A Meyer
    Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA. cliff_meyer@ds.dfci.harvard.edu.
  • Kristen Naegle
    University of Virginia, Charlottesville, VA, United States.
  • Sarthak Pati
    Perelman School of Medicine, Philadelphia, PA, USA.
  • Bjoern Peters
    La Jolla Institute for Allergy and Immunology, La Jolla, California, United States of America.
  • Dexter Pratt
    Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
  • Benjamin J Raphael
    Department of Computer Science, Princeton University, Princeton, NJ, USA. Electronic address: braphael@princeton.edu.
  • Michael Reich
    Teva Pharmaceutical Industries Ltd, Tel Aviv, Israel.
  • Guergana K Savova
    Department of Pediatrics, Children's Hospital of Boston, Boston.
  • Carrie Wright
    Fred Hutchinson Cancer Center, Seattle, WA, United States.
  • Elana J Fertig
    Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA; Convergence Institute, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, MD, USA; Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. Electronic address: ejfertig@jhmi.edu.
  • Spyridon Bakas
    Perelman School of Medicine, Philadelphia, PA, USA.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals