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Unified classification and risk-stratification in Acute Myeloid Leukemia

Author

Listed:
  • Yanis Tazi

    (Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center
    Weill Cornell Medicine of Cornell University and Rockefeller University
    The Rockefeller University)

  • Juan E. Arango-Ossa

    (Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center)

  • Yangyu Zhou

    (Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center)

  • Elsa Bernard

    (Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center)

  • Ian Thomas

    (Cardiff University)

  • Amanda Gilkes

    (Cardiff University)

  • Sylvie Freeman

    (University of Birmingham)

  • Yoann Pradat

    (Memorial Sloan Kettering Cancer Center)

  • Sean J. Johnson

    (Cardiff University)

  • Robert Hills

    (University of Oxford)

  • Richard Dillon

    (King’s College)

  • Max F. Levine

    (Memorial Sloan Kettering Cancer Center)

  • Daniel Leongamornlert

    (Wellcome Sanger Institute)

  • Adam Butler

    (Wellcome Sanger Institute)

  • Arnold Ganser

    (Hannover Medical School)

  • Lars Bullinger

    (Department of Hematology, Oncology, and Tumorimmunology, Campus Virchow Klinikum, Berlin, Charité—Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin)

  • Konstanze Döhner

    (Ulm University)

  • Oliver Ottmann

    (Cardiff University)

  • Richard Adams

    (Cardiff University)

  • Hartmut Döhner

    (Ulm University)

  • Peter J. Campbell

    (Wellcome Sanger Institute)

  • Alan K. Burnett

    (formerly Cardiff University)

  • Michael Dennis

    (The Christie NHS Foundation Trust)

  • Nigel H. Russell

    (Nottingham University Hospital)

  • Sean M. Devlin

    (Memorial Sloan Kettering Cancer Center)

  • Brian J. P. Huntly

    (University of Cambridge)

  • Elli Papaemmanuil

    (Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center)

Abstract

Clinical recommendations for Acute Myeloid Leukemia (AML) classification and risk-stratification remain heavily reliant on cytogenetic findings at diagnosis, which are present in

Suggested Citation

  • Yanis Tazi & Juan E. Arango-Ossa & Yangyu Zhou & Elsa Bernard & Ian Thomas & Amanda Gilkes & Sylvie Freeman & Yoann Pradat & Sean J. Johnson & Robert Hills & Richard Dillon & Max F. Levine & Daniel Le, 2022. "Unified classification and risk-stratification in Acute Myeloid Leukemia," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-32103-8
    DOI: 10.1038/s41467-022-32103-8
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    References listed on IDEAS

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    1. Philip J. Stephens & Patrick S. Tarpey & Helen Davies & Peter Van Loo & Chris Greenman & David C. Wedge & Serena Nik-Zainal & Sancha Martin & Ignacio Varela & Graham R. Bignell & Lucy R. Yates & Elli , 2012. "The landscape of cancer genes and mutational processes in breast cancer," Nature, Nature, vol. 486(7403), pages 400-404, June.
    2. Mee Young Park & Trevor Hastie, 2007. "L1‐regularization path algorithm for generalized linear models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 69(4), pages 659-677, September.
    3. Riccardo De Bin, 2016. "Boosting in Cox regression: a comparison between the likelihood-based and the model-based approaches with focus on the R-packages CoxBoost and mboost," Computational Statistics, Springer, vol. 31(2), pages 513-531, June.
    4. Graham J. G. Upton, 1992. "Fisher's Exact Test," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 155(3), pages 395-402, May.
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