TY - JOUR
T1 - Unified classification and risk-stratification in Acute Myeloid Leukemia
AU - Tazi, Yanis
AU - Arango-Ossa, Juan E.
AU - Zhou, Yangyu
AU - Bernard, Elsa
AU - Thomas, Ian
AU - Gilkes, Amanda
AU - Freeman, Sylvie
AU - Pradat, Yoann
AU - Johnson, Sean J.
AU - Hills, Robert
AU - Dillon, Richard
AU - Levine, Max F.
AU - Leongamornlert, Daniel
AU - Butler, Adam
AU - Ganser, Arnold
AU - Bullinger, Lars
AU - Döhner, Konstanze
AU - Ottmann, Oliver
AU - Adams, Richard
AU - Döhner, Hartmut
AU - Campbell, Peter J.
AU - Burnett, Alan K.
AU - Dennis, Michael
AU - Russell, Nigel H.
AU - Devlin, Sean M.
AU - Huntly, Brian J.P.
AU - Papaemmanuil, Elli
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12/1
Y1 - 2022/12/1
N2 - Clinical recommendations for Acute Myeloid Leukemia (AML) classification and risk-stratification remain heavily reliant on cytogenetic findings at diagnosis, which are present in <50% of patients. Using comprehensive molecular profiling data from 3,653 patients we characterize and validate 16 molecular classes describing 100% of AML patients. Each class represents diverse biological AML subgroups, and is associated with distinct clinical presentation, likelihood of response to induction chemotherapy, risk of relapse and death over time. Secondary AML-2, emerges as the second largest class (24%), associates with high-risk disease, poor prognosis irrespective of flow Minimal Residual Disease (MRD) negativity, and derives significant benefit from transplantation. Guided by class membership we derive a 3-tier risk-stratification score that re-stratifies 26% of patients as compared to standard of care. This results in a unified framework for disease classification and risk-stratification in AML that relies on information from cytogenetics and 32 genes. Last, we develop an open-access patient-tailored clinical decision support tool.
AB - Clinical recommendations for Acute Myeloid Leukemia (AML) classification and risk-stratification remain heavily reliant on cytogenetic findings at diagnosis, which are present in <50% of patients. Using comprehensive molecular profiling data from 3,653 patients we characterize and validate 16 molecular classes describing 100% of AML patients. Each class represents diverse biological AML subgroups, and is associated with distinct clinical presentation, likelihood of response to induction chemotherapy, risk of relapse and death over time. Secondary AML-2, emerges as the second largest class (24%), associates with high-risk disease, poor prognosis irrespective of flow Minimal Residual Disease (MRD) negativity, and derives significant benefit from transplantation. Guided by class membership we derive a 3-tier risk-stratification score that re-stratifies 26% of patients as compared to standard of care. This results in a unified framework for disease classification and risk-stratification in AML that relies on information from cytogenetics and 32 genes. Last, we develop an open-access patient-tailored clinical decision support tool.
UR - http://www.scopus.com/inward/record.url?scp=85135551626&partnerID=8YFLogxK
U2 - 10.1038/s41467-022-32103-8
DO - 10.1038/s41467-022-32103-8
M3 - Article
C2 - 35941135
AN - SCOPUS:85135551626
SN - 2041-1723
VL - 13
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 4622
ER -