{"title":"OMIP-106:用于分析急性髓性白血病患者骨髓中检查点抑制网络的 30 色面板。","authors":"Jan Musil, Antonin Ptacek, Sarka Vanikova","doi":"10.1002/cyto.a.24892","DOIUrl":null,"url":null,"abstract":"<p>Acute myeloid leukemia (AML) is the most common form of acute leukemia diagnosed in adults. Despite advances in medical care, the treatment of AML still faces many challenges, such as treatment-related toxicities, that limit the use of high-intensity chemotherapy, especially in elderly patients. Currently, various immunotherapeutic approaches, that is, CAR-T cells, BiTEs, and immune checkpoint inhibitors, are being tested in clinical trials to prolong remission and improve the overall survival of AML patients. However, early reports show only limited benefits of these interventions and only in a subset of patients, showing the need for better patient stratification based on immunological markers. We have therefore developed and optimized a 30-color panel for evaluation of effector immune cell (NK cells, γδ T cells, NKT-like T cells, and classical T cells) infiltration into the bone marrow and analysis of their phenotype with regard to their differentiation, expression of inhibitory (PD-1, TIGIT, Tim3, NKG2A) and activating receptors (DNAM-1, NKG2D). We also evaluate the immune evasive phenotype of CD33<sup>+</sup> myeloid cells, CD34<sup>+</sup>CD38<sup>−</sup>, and CD34<sup>+</sup>CD38<sup>+</sup> hematopoietic stem and progenitor cells by analyzing the expression of inhibitory ligands such as PD-L1, CD112, CD155, and CD200. 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引用次数: 0
摘要
急性髓性白血病(AML)是成人中最常见的急性白血病。尽管医疗水平不断进步,但急性髓性白血病的治疗仍面临许多挑战,如治疗相关毒性,这限制了高强度化疗的使用,尤其是对老年患者。目前,各种免疫治疗方法,即 CAR-T 细胞、BiTEs 和免疫检查点抑制剂,正在临床试验中进行测试,以延长急性髓细胞性白血病患者的缓解期并提高其总生存率。然而,早期报告显示,这些干预措施的疗效有限,而且只适用于部分患者,这表明需要根据免疫标志物对患者进行更好的分层。因此,我们开发并优化了一个 30 色面板,用于评估效应免疫细胞(NK 细胞、γδ T 细胞、NKT 样 T 细胞和经典 T 细胞)渗入骨髓的情况,并分析它们在分化、抑制受体(PD-1、TIGIT、Tim3、NKG2A)和激活受体(DNAM-1、NKG2D)表达方面的表型。我们还通过分析 PD-L1、CD112、CD155 和 CD200 等抑制性配体的表达,评估 CD33+ 髓系细胞、CD34+CD38- 和 CD34+CD38+ 造血干细胞和祖细胞的免疫逃避表型。我们的研究小组是临床试验中对患者进行分层的重要工具,也可用于拓宽我们对急性髓细胞白血病检查点抑制网络的认识。
OMIP-106: A 30-color panel for analysis of check-point inhibitory networks in the bone marrow of acute myeloid leukemia patients
Acute myeloid leukemia (AML) is the most common form of acute leukemia diagnosed in adults. Despite advances in medical care, the treatment of AML still faces many challenges, such as treatment-related toxicities, that limit the use of high-intensity chemotherapy, especially in elderly patients. Currently, various immunotherapeutic approaches, that is, CAR-T cells, BiTEs, and immune checkpoint inhibitors, are being tested in clinical trials to prolong remission and improve the overall survival of AML patients. However, early reports show only limited benefits of these interventions and only in a subset of patients, showing the need for better patient stratification based on immunological markers. We have therefore developed and optimized a 30-color panel for evaluation of effector immune cell (NK cells, γδ T cells, NKT-like T cells, and classical T cells) infiltration into the bone marrow and analysis of their phenotype with regard to their differentiation, expression of inhibitory (PD-1, TIGIT, Tim3, NKG2A) and activating receptors (DNAM-1, NKG2D). We also evaluate the immune evasive phenotype of CD33+ myeloid cells, CD34+CD38−, and CD34+CD38+ hematopoietic stem and progenitor cells by analyzing the expression of inhibitory ligands such as PD-L1, CD112, CD155, and CD200. Our panel can be a valuable tool for patient stratification in clinical trials and can also be used to broaden our understanding of check-point inhibitory networks in AML.
期刊介绍:
Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques.
The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome:
Biomedical Instrumentation Engineering
Biophotonics
Bioinformatics
Cell Biology
Computational Biology
Data Science
Immunology
Parasitology
Microbiology
Neuroscience
Cancer
Stem Cells
Tissue Regeneration.