| Literature DB >> 32819181 |
Zhenyi Jin1,2,3, Tianbi Lan1, Yun Zhao1, Jinxia Du1, Jie Chen4, Jing Lai4, Ling Xu1, Shaohua Chen1, Xueyun Zhong2,3, Xiuli Wu1, Yangqiu Li1.
Abstract
The diverse structural and functional heterogeneity of γδ T cells is related to their distinct role in cancer immunity. The different phenotypes of γδ T cells in patients with acute myeloid leukemia (AML) is far from clear. In particular, the expression pattern of co-inhibitory and co-stimulatory receptors on γδ T cells remains unknown. In this study, we analyzed the distribution of γδ T cell subsets by expression of the immune checkpoint co-inhibitor TIGIT (T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain) and its competing co-stimulatory receptor CD226 in AML patients of different clinical statuses (including de novo AML, AML in non-remission (NR), and AML in complete remission (CR)). Our data demonstrated an imbalanced distribution of TIGIT and CD226 on γδ T cells with a decrease in CD226+ γδ T cells and an increase in TIGIT+ γδ T cells in de novo AML patients, while TIGIT-CD226+ γδ T cells were restored in AML patients who achieved CR after chemotherapy. Moreover, the patients who had higher TIGIT+CD226- γδ T cells showed lower overall survival rate for non-M3 AML, which may be considered a novel prognostic immune biomarker. In conclusion, our study reveals for the first time that imbalance in the TIGIT/CD226 axis might be related to different clinical outcomes for AML patients.Abbreviations: AML: acute myeloid leukemia; CR: complete remission; ICs: immune checkpoints; PD-1: programmed death-1; γδ T cells: gamma delta T cells; TCR: T cell receptor; MHC: major histocompatibility complex; TIGIT: T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain; NK: natural killer; PB: Peripheral blood; NR: non-remission; FAB: French-American-British; WHO: World Health Organization; HIs: healthy individuals; OS: overall survival.Entities:
Keywords: Acute myeloid leukemia; CD226; TIGIT; γδ T cells
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Year: 2020 PMID: 32819181 DOI: 10.1080/08820139.2020.1806868
Source DB: PubMed Journal: Immunol Invest ISSN: 0882-0139 Impact factor: 3.657