Immune landscapes predict chemotherapy resistance and immunotherapy response in acute myeloid leukemia

Jayakumar Vadakekolathu(Nottingham Trent University), Mark D. Minden(Princess Margaret Cancer Centre), Tressa Hood(Nanostring Technologies (United States)), S. Church(Nanostring Technologies (United States)), Stephen Reeder(Nottingham Trent University), Heidi Altmann(University Hospital Carl Gustav Carus), Amy Sullivan(Nanostring Technologies (United States)), Elena Viboch(Nanostring Technologies (United States)), Tasleema Patel(Children's Hospital of Philadelphia), Narmin Ibrahimova(Princess Margaret Cancer Centre), Sarah Warren(Nanostring Technologies (United States)), Andrea Arruda(Princess Margaret Cancer Centre), Yan Liang(Nanostring Technologies (United States)), Thomas H. Smith(Nanostring Technologies (United States)), Gemma A. Foulds(Nottingham Trent University), Michael Bailey(Nanostring Technologies (United States)), James Gowen-MacDonald(Nanostring Technologies (United States)), John Muth(MacroGenics (United States)), Marc Schmitz(German Cancer Research Center), Alessandra Cesano(Nanostring Technologies (United States)), A. Graham Pockley(Nottingham Trent University), Peter J.M. Valk(Erasmus MC), Bob Löwenberg(Erasmus MC), Martin Bornhäuser(German Cancer Research Center), Sarah K. Tasian(Children's Hospital of Philadelphia), Michael P. Rettig(Washington University in St. Louis), Jan Davidson‐Moncada(MacroGenics (United States)), John F. DiPersio(Washington University in St. Louis), Sergio Rutella(Nottingham Trent University)
Science Translational Medicine
June 3, 2020
Cited by 209Open Access
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Abstract

Acute myeloid leukemia (AML) is a molecularly and clinically heterogeneous hematological malignancy. Although immunotherapy may be an attractive modality to exploit in patients with AML, the ability to predict the groups of patients and the types of cancer that will respond to immune targeting remains limited. This study dissected the complexity of the immune architecture of AML at high resolution and assessed its influence on therapeutic response. Using 442 primary bone marrow samples from three independent cohorts of children and adults with AML, we defined immune-infiltrated and immune-depleted disease classes and revealed critical differences in immune gene expression across age groups and molecular disease subtypes. Interferon (IFN)-γ-related mRNA profiles were predictive for both chemotherapy resistance and response of primary refractory/relapsed AML to flotetuzumab immunotherapy. Our compendium of microenvironmental gene and protein profiles provides insights into the immuno-biology of AML and could inform the delivery of personalized immunotherapies to IFN-γ-dominant AML subtypes.


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