摘要目的:评估T细胞表位（TCE）模型和表达模型对人类白细胞抗原（HLA）相合非亲缘造血干细胞移植（MUD-HSCT）供受者HLA-DPB1基因错配风险的预测功能。方法:回顾性分析2016至2019年陕西省血液中心进行HLA高分辨分型确认的MUD-HSCT供受者364例（182对）。182例受者中，男121例，女61例，年龄（26.3±14.2）岁；182例供者中，男148例，女34例，年龄（33.7±7.5）岁。应用聚合酶链反应-测序分型（PCR-SBT）、下一代测序（NGS）技术和基于LABScan ? 3D 平台的聚合酶链反应-序列特异寡核苷酸探针技术（PCR-SSO）等进行HLA-A、B、C、DRB1、DQB1、DPB1基因高分辨分型，采用PCR-SBT进行单核苷酸多态性（SNP）分型，运用TCE模型和表达模型评估MUD-HSCT供受者HLA-DPB1基因错配模式和急性移植物抗宿主病（aGVHD）风险。 结果:检出26种HLA-DPB1等位基因及其3′-UTR rs9277534 SNP基因型，发现并正式命名2个新等位基因HLA-DPB1*1052∶01 和HLA-DPB1*1119∶01。HLA-DPB1基因总错配率达90.66%（165/182），TCE模型允许错配占47.80%（87/182），不允许错配占42.86%（78/182）；移植物抗宿主（GvH）方向的不允许错配为13.73%（25/182），宿主抗移植物（HvG）方向的不允许错配为29.12%（53/182）。TCE模型中共有73对供受者符合表达模型评估标准，其中TCE允许错配组的受者DP5错配占34.25%（25/73），根据表达模型预测其移植后aGVHD风险为高风险；TCE不允许错配组的受者DP2错配占6.85%（5/73），受者DP5错配占10.86%（8/73），均被预测为aGVHD高风险。两种模型之间的整体一致性为27.27%，不一致性为16.97%。结论:TCE模型和表达模型是预测MUD-HSCT供受者HLA-DPB1基因错配风险的有效工具，综合应用两种模型有助于移植风险分层评估。

abstractsObjective:To evaluate the risk prediction and assessment function of HLA-DPB1 T-cell epitope (TCE) model and expression model in human leukocyte antigen (HLA)-matched unrelated hematopoietic stem cell transplantation (MUD-HSCT) with HLA-DPB1 mismatching.Methods:A total of 364 (182 pairs) potential MUD-HSCT donors and recipients confirmed by HLA high-resolution typing in Shaanxi Blood Center from 2016 to 2019 were analyzed retrospectively. Of the 182 recipients, there were 121 males and 61 females with an average age of (26.3±14.2) years. Of the 182 donors, there were 148 males and 34 females with an average age of (33.7±7.5) years. Polymerase chain reaction-sequence-based typing (PCR-SBT), next-generation sequencing (NGS) and polymerase chain reaction-sequence specific oligonucleotide probe (PCR-SSO) based on LABScan ?3D platform were used for high-resolution typing of HLA-A, B, C, DRB1, DQB1, DPB1 gene, and PCR-SBT was used for single nucleotide polymorphism (SNP) typing. TCE model and expression model were used to predict and evaluate the HLA-DPB1 mismatch pattern and acute graft-versus-host-disease (aGVHD) risk. Results:A total of 26 HLA-DPB1 alleles and their 3′-UTR rs9277534 SNP genotypes were detected in this study population, and two new alleles HLA-DPB1*1052∶01 and HLA-DPB1*1119∶01 were found and officially named. The overall mismatch rate of HLA-DPB1 in MUD-HSCT donors and recipients was 90.66% (165/182). In TCE model, the HLA-DPB1 mismatch rates of permissible mismatch (PM) and non-permissible mismatch (non-PM) were 47.80% (87/182) and 42.86% (78/182), respectively. The non-PM in GvH direction was 13.73% (25/182), and which in HvG direction was 29.12% (53/182). A total of 73 pairs of donors and recipients in TCE model met the evaluation criteria of expression model. Among of TCE PM group, recipient DP5 mismatches accounted for 34.25% (25/73) were predicted as aGVHD high risk according to expression model. For the TCE non-PM group, both the recipient DP2 mismatches of 6.85% (5/73) and recipient DP5 mismatches of 10.86% (8/73) were predicted to be at high risk for aGVHD. Risk prediction by TCE model and expression model was 27.27% concordant and 16.97% unconcordant.Conclusions:TCE model and expression model are effective tools to predict aGVHD risk of MUD-HSCT. Comprehensive application of the two models is helpful to the hierarchical assessment of HSCT risk.