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供者基因型异基因造血干细胞移植后结局预测:前路漫漫。

Donor genotype based outcome prediction after allogeneic stem cell transplantation: no land in sight.

机构信息

Department of Internal Medicine I, University Hospital TU Dresden, Dresden, Germany.

Clinical Trials Unit, DKMS Group, Dresden, Germany.

出版信息

Front Immunol. 2024 Apr 2;15:1350470. doi: 10.3389/fimmu.2024.1350470. eCollection 2024.

DOI:
10.3389/fimmu.2024.1350470
PMID:38629074
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11019434/
Abstract

Optimizing natural killer (NK) cell alloreactivity could further improve outcome after allogeneic hematopoietic cell transplantation (alloHCT). The donor's Killer-cell Immunoglobulin-like Receptor (KIR) genotype may provide important information in this regard. In the past decade, different models have been proposed aiming at maximizing NK cell activation by activating KIR-ligand interactions or minimizing inhibitory KIR-ligand interactions. Alternative classifications intended predicting outcome after alloHCT by donor KIR-haplotypes. In the present study, we aimed at validating proposed models and exploring more classification approaches. To this end, we analyzed samples stored at the Collaborative Biobank from HLA-compatible unrelated stem cell donors who had donated for patients with acute myeloid leukemia (AML) or myelodysplastic neoplasm (MDS) and whose outcome data had been reported to EBMT or CIBMTR. The donor genotype was determined by high resolution amplicon-based next generation sequencing. We analyzed data from 5,017 transplants. The median patient age at alloHCT was 56 years. Patients were transplanted for AML between 2013 and 2018. Donor-recipient pairs were matched for HLA-A, -B, -C, -DRB1, and -DQB1 (79%) or had single HLA mismatches. Myeloablative conditioning was given to 56% of patients. Fifty-two percent of patients received anti-thymocyte-globulin-based graft-versus-host disease prophylaxis, 32% calcineurin-inhibitor-based prophylaxis, and 7% post-transplant cyclophosphamide-based prophylaxis. We tested several previously reported classifications in multivariable regression analyses but could not confirm outcome associations. Exploratory analyses in 1,939 patients (39%) who were transplanted from donors with homozygous centromeric (cen) or telomeric (tel) or motifs, showed that the donor cen -tel diplotype was associated with a trend to better event-free survival (HR 0.84, p=.08) and reduced risk of non-relapse mortality (NRM) (HR 0.65, p=.01). When we further dissected the contribution of B subtypes, we found that only the cen - diplotype was associated with a reduced risk of relapse (HR 0.40, p=.04) while all subtype combinations contributed to a reduced risk of NRM. This exploratory finding has to be validated in an independent data set. In summary, the existing body of evidence is not (yet) consistent enough to recommend use of donor genotype information for donor selection in routine clinical practice.

摘要

优化自然杀伤 (NK) 细胞同种异体反应性可以进一步改善异基因造血细胞移植 (alloHCT) 后的结果。供体的杀伤细胞免疫球蛋白样受体 (KIR) 基因型可能为此提供重要信息。在过去的十年中,已经提出了不同的模型,旨在通过激活 KIR-配体相互作用或最小化抑制性 KIR-配体相互作用来最大程度地激活 NK 细胞。替代分类旨在通过供体 KIR 单倍型预测 alloHCT 后的结果。在本研究中,我们旨在验证提出的模型并探索更多的分类方法。为此,我们分析了存储在协作生物库中的样本,这些样本来自 HLA 相容的无关干细胞供体,他们曾为急性髓细胞白血病 (AML) 或骨髓增生异常综合征 (MDS) 患者捐献,并向 EBMT 或 CIBMTR 报告了其结果数据。供体基因型通过高分辨率基于扩增子的下一代测序确定。我们分析了 5017 例移植的数据。alloHCT 时患者的中位年龄为 56 岁。2013 年至 2018 年间,患者接受 AML 移植。供体-受者配对在 HLA-A、-B、-C、-DRB1 和 -DQB1 上匹配(79%)或存在单个 HLA 错配。56%的患者接受了清髓性预处理。52%的患者接受了抗胸腺细胞球蛋白为基础的移植物抗宿主病预防,32%接受了钙调神经磷酸酶抑制剂为基础的预防,7%接受了移植后环磷酰胺为基础的预防。我们在多变量回归分析中测试了几种先前报道的分类方法,但无法证实结果相关性。在 1939 名(39%)接受来自纯合着丝粒 (cen) 或端粒 (tel) 或 基序供体移植的患者的探索性分析中,我们发现供体 cen-tel 二倍体与无事件生存 (HR 0.84,p=.08) 和非复发死亡率 (NRM) 风险降低 (HR 0.65,p=.01) 的趋势相关。当我们进一步剖析 B 亚型的贡献时,我们发现只有 cen-二倍体与复发风险降低相关 (HR 0.40,p=.04),而所有亚型组合都与 NRM 风险降低相关。这一探索性发现需要在独立数据集进行验证。总之,现有证据还不够一致,不足以推荐在常规临床实践中使用供体 基因型信息进行供体选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a6e/11019434/1ca6e44e7185/fimmu-15-1350470-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a6e/11019434/82ab3cfbf0b8/fimmu-15-1350470-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a6e/11019434/afbbf3044e4c/fimmu-15-1350470-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a6e/11019434/1ca6e44e7185/fimmu-15-1350470-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a6e/11019434/82ab3cfbf0b8/fimmu-15-1350470-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a6e/11019434/afbbf3044e4c/fimmu-15-1350470-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a6e/11019434/1ca6e44e7185/fimmu-15-1350470-g003.jpg

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