Literature DB >> 31911547

Characterization of Immune Dysfunction and Identification of Prognostic Immune-Related Risk Factors in Acute Myeloid Leukemia.

Lu Tang1,2, Jianghua Wu1,2, Cheng-Gong Li1,2, Hui-Wen Jiang1,2, Min Xu1, Mengyi Du1,2, Zhinan Yin3,4, Heng Mei5,2, Yu Hu5,2.   

Abstract

PURPOSE: This study aims to provide comprehensive insights into longitudinal immune landscape in acute myeloid leukemia (AML) development and treatment, which may contribute to predict prognosis and guide clinical decisions. EXPERIMENTAL
DESIGN: Periphery blood samples from 79 patients with AML (at diagnosis or/and after chemotherapy or at relapse) and 24 healthy controls were prospectively collected. We performed phenotypic and functional analysis of various lymphocytes through multiparametric flow cytometry and investigated prognostic immune-related risk factors.
RESULTS: Immune defects in AML were reflected in T and natural killer (NK) cells, whereas B-cell function remained unaffected. Both CD8+ T and CD4+ T cells exhibited features of senescence and exhaustion at diagnosis. NK dysfunction was supported by excessive maturation and downregulation of NKG2D and NKP30. Diseased γδ T cells demonstrated a highly activated or even exhausted state through PD-1 upregulation and NKG2D downregulation. Effective therapeutic response following chemotherapy correlated with T and NK function restoration. Refractory and relapsed patients demonstrated even worse immune impairments, and selective immune signatures apparently correlated clinical outcomes and survival. PD-1 expression in CD8+ T cells was independently predictive of poor overall survival and event-free survival.
CONCLUSIONS: T-cell senescence and exhaustion, together with impaired NK and γδ T-cell function, are dominant aspects involved in immune dysfunction in AML. Noninvasive immune testing of blood samples could be applied to predict therapeutic reactivity, high risk for relapse, and unfavorable prognosis. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 31911547     DOI: 10.1158/1078-0432.CCR-19-3003

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  20 in total

1.  Invariant NKT cells metabolically adapt to the acute myeloid leukaemia environment.

Authors:  Francis Mussai; Carmela De Santo; Victoria Stavrou; Livingstone Fultang; Sarah Booth; Daniele De Simone; Arekdiusz Bartnik; Ugo Scarpa; Luciana Gneo; Silvia Panetti; Sandeep Potluri; Meaad Almowaled; Jonathan Barlow; Andris Jankevics; Gavin Lloyd; Andrew Southam; David A Priestman; Paul Cheng; Warwick Dunn; Frances Platt; Hitoshi Endou; Charles Craddock; Karen Keeshan
Journal:  Cancer Immunol Immunother       Date:  2022-08-13       Impact factor: 6.630

Review 2.  CD4 T-Cell Exhaustion: Does It Exist and What Are Its Roles in Cancer?

Authors:  Alexandra M Miggelbrink; Joshua D Jackson; Selena J Lorrey; Ethan S Srinivasan; Jessica Waibl-Polania; Daniel S Wilkinson; Peter E Fecci
Journal:  Clin Cancer Res       Date:  2021-06-14       Impact factor: 12.531

3.  MAIT cells numbers and frequencies in patients with acute myeloid leukemia at diagnosis: association with cytogenetic profile and gene mutations.

Authors:  Francois Vergez; Emmanuel Treiner; Thibault Comont; Marie-Laure Nicolau-Travers; Sarah Bertoli; Christian Recher
Journal:  Cancer Immunol Immunother       Date:  2021-09-03       Impact factor: 6.968

Review 4.  T Cell Exhaustion and CAR-T Immunotherapy in Hematological Malignancies.

Authors:  Lu Tang; Yinqiang Zhang; Yu Hu; Heng Mei
Journal:  Biomed Res Int       Date:  2021-02-25       Impact factor: 3.411

5.  Single-cell map of diverse immune phenotypes in the acute myeloid leukemia microenvironment.

Authors:  Rongqun Guo; Mengdie Lü; Fujiao Cao; Guanghua Wu; Fengcai Gao; Haili Pang; Yadan Li; Yinyin Zhang; Haizhou Xing; Chunyan Liang; Tianxin Lyu; Chunyan Du; Yingmei Li; Rong Guo; Xinsheng Xie; Wei Li; Delong Liu; Yongping Song; Zhongxing Jiang
Journal:  Biomark Res       Date:  2021-03-01

6.  Bone marrow infiltrated natural killer cells predicted the anti-leukemia activity of MCL1 or BCL2 inhibitors in acute myeloid leukemia.

Authors:  Yu-Jun Dai; Si-Yuan He; Fang Hu; Xue-Ping Li; Jian-Ming Zhang; Si-Liang Chen; Wei-Na Zhang; Hai-Min Sun; Da-Wei Wang
Journal:  Mol Cancer       Date:  2021-01-05       Impact factor: 27.401

7.  Study on the Immune Escape Mechanism of Acute Myeloid Leukemia With DNMT3A Mutation.

Authors:  Yimei Que; Huimin Li; Liman Lin; Xiaojian Zhu; Min Xiao; Ying Wang; Li Zhu; Dengju Li
Journal:  Front Immunol       Date:  2021-05-20       Impact factor: 7.561

Review 8.  Cord-Blood Natural Killer Cell-Based Immunotherapy for Cancer.

Authors:  Xiaoyan Zhao; Li Cai; Yu Hu; Huafang Wang
Journal:  Front Immunol       Date:  2020-10-22       Impact factor: 7.561

9.  Characteristic of TIGIT and DNAM-1 Expression on Foxp3+ γδ T Cells in AML Patients.

Authors:  Zhenyi Jin; Wanyi Ye; Tianbi Lan; Yun Zhao; Xiaxin Liu; Jie Chen; Jing Lai; Shaohua Chen; Xueyun Zhong; Xiuli Wu
Journal:  Biomed Res Int       Date:  2020-07-27       Impact factor: 3.411

Review 10.  Acute Myeloid Leukemia: Is It T Time?

Authors:  Meriem Ben Khoud; Tiziano Ingegnere; Bruno Quesnel; Suman Mitra; Carine Brinster
Journal:  Cancers (Basel)       Date:  2021-05-14       Impact factor: 6.639

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