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Immune dysfunction signatures predict outcomes and define checkpoint blockade-unresponsive microenvironments in acute myeloid leukemia.
Rutella, Sergio; Vadakekolathu, Jayakumar; Mazziotta, Francesco; Reeder, Stephen; Yau, Tung-On; Mukhopadhyay, Rupkatha; Dickins, Benjamin; Altmann, Heidi; Kramer, Michael; Knaus, Hanna A; Blazar, Bruce R; Radojcic, Vedran; Zeidner, Joshua F; Arruda, Andrea; Wang, Bofei; Abbas, Hussein A; Minden, Mark D; Tasian, Sarah K; Bornhäuser, Martin; Gojo, Ivana; Luznik, Leo.
Afiliação
  • Rutella S; John van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, United Kingdom.
  • Vadakekolathu J; John van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, United Kingdom.
  • Mazziotta F; Department of Oncology and Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Reeder S; John van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, United Kingdom.
  • Yau TO; John van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, United Kingdom.
  • Mukhopadhyay R; Department of Oncology and Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Dickins B; John van Geest Cancer Research Centre, Nottingham Trent University, Nottingham, United Kingdom.
  • Altmann H; Department of Medicine, Universitätsklinikum Carl Gustav Carus, Technische Universität (TU) Dresden, Dresden, Germany.
  • Kramer M; Department of Medicine, Universitätsklinikum Carl Gustav Carus, Technische Universität (TU) Dresden, Dresden, Germany.
  • Knaus HA; Department of Oncology and Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
  • Blazar BR; Department of Medicine, Medical University of Vienna, Vienna, Austria.
  • Radojcic V; Masonic Cancer Center and Department of Pediatrics, Division of Blood & Marrow Transplant and Cellular Therapy, University of Minnesota, Minneapolis, Minnesota, USA.
  • Zeidner JF; Division of Hematology and Hematologic Malignancies, Department of Internal Medicine, University of Utah, Salt Lake City, Utah, USA.
  • Arruda A; Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.
  • Wang B; Division of Hematology, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
  • Abbas HA; Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Canada.
  • Minden MD; Department of Leukemia, Division of Cancer Medicine and.
  • Tasian SK; Department of Leukemia, Division of Cancer Medicine and.
  • Bornhäuser M; Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
  • Gojo I; Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Canada.
  • Luznik L; Department of Pediatrics, Division of Oncology and Centre for Childhood Cancer Research, Children's Hospital of Philadelphia and University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
J Clin Invest ; 132(21)2022 11 01.
Article em En | MEDLINE | ID: mdl-36099049
ABSTRACT
BackgroundImmune exhaustion and senescence are dominant dysfunctional states of effector T cells and major hurdles for the success of cancer immunotherapy. In the current study, we characterized how acute myeloid leukemia (AML) promotes the generation of senescent-like CD8+ T cells and whether they have prognostic relevance.METHODSWe analyzed NanoString, bulk RNA-Seq and single-cell RNA-Seq data from independent clinical cohorts comprising 1,896 patients treated with chemotherapy and/or immune checkpoint blockade (ICB).ResultsWe show that senescent-like bone marrow CD8+ T cells were impaired in killing autologous AML blasts and that their proportion negatively correlated with overall survival (OS). We defined what we believe to be new immune effector dysfunction (IED) signatures using 2 gene expression profiling platforms and reported that IED scores correlated with adverse-risk molecular lesions, stemness, and poor outcomes; these scores were a more powerful predictor of OS than 2017-ELN risk or leukemia stem cell (LSC17) scores. IED expression signatures also identified an ICB-unresponsive tumor microenvironment and predicted significantly shorter OS.ConclusionThe IED scores provided improved AML-risk stratification and could facilitate the delivery of personalized immunotherapies to patients who are most likely to benefit.TRIAL REGISTRATIONClinicalTrials.gov; NCT02845297.FUNDINGJohn and Lucille van Geest Foundation, Nottingham Trent University's Health & Wellbeing Strategic Research Theme, NIH/NCI P01CA225618, Genentech-imCORE ML40354, Qatar National Research Fund (NPRP8-2297-3-494).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Doenças do Sistema Imunitário Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Clin Invest Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Doenças do Sistema Imunitário Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Clin Invest Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Reino Unido