Division of Pathology/Laboratory Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Division of Biostatistics, Institute for Health and Equity, Medical College of Wisconsin, Milwaukee, Wisconsin, USA; Center for International Blood and Marrow Transplant Research, Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Transplant Cell Ther. 2022 Feb;28(2):107.e1-107.e8. doi: 10.1016/j.jtct.2021.11.001. Epub 2021 Nov 11.
The number of haploidentical hematopoietic stem cell transplantations (haplo-HSCT) performed has increased substantially in recent years. Previous single-center studies using in silico algorithms to quantitively measure HLA disparity have shown an association of the number of HLA molecular mismatches with relapse protection and/or increased risk of acute graft-versus-host disease (GVHD) in haplo-HSCT. However, inconsistent results from small studies have made it difficult to understand the full clinical impact of molecular mismatch in haplo-HSCT. In this study, we investigated the potential of the HLA class I and II mismatched eplet (ME) score measured by HLAMatchmaker, as well as ME load at a specific locus to predict outcomes in a registry-based cohort of haplo-HSCT recipients. We analyzed data from 1287 patients who underwent their first haplo-HSCT for acute lymphoblastic leukemia, acute myelogenous leukemia, or myelodysplastic syndrome between 2013 and 2017, as entered in the Center for International Blood and Marrow Transplant Research database. ME load at each HLA locus and total class I and II were scored using the HLAMatchmaker module incorporated in HLA Fusion software v4.3, which identifies predicted eplets based on the crystalized HLA molecule models and identifies ME by comparing donor and recipient eplets. In the study cohort, ME scores derived from total HLA class I or class II loci or individual HLA loci were not associated with overall survival, disease-free survival, nonrelapse mortality, relapse, acute GVHD, or chronic GVHD (P < .01). An unexpected strong association was identified between total class II ME load in the GVH direction and slower neutrophil engraftment (hazard ratio [HR], 0.82; 95% confidence interval [CI], 0.75 to 0.91; P < .0001) and platelet engraftment (HR, 0.80; 95% CI, 0.72 to 0.88; P < .0001). This was likely attributable to ME load at the HLA-DRB1 locus, which was similarly associated with slower neutrophil engraftment (HR, 0.82; 95% CI, 0.73 to 0.92; P = .001) and slower platelet engraftment (HR, 0.76; 95% CI, 0.70 to 0.84; P < .0001). Additional analyses suggested that this effect is attributable to a match versus a mismatch in the graft-versus-host direction and not to ME load, as a dose effect was not identified. These findings contradict those of previous relatively small studies reporting an association between ME load, as quantified by HLAMatchmaker, and haplo-HSCT outcomes. This study failed to demonstrate the predictive value of ME from HLA molecules for major clinical outcomes, and other molecular mismatch algorithms in haplo-HSCT settings should be tested.
近年来,单倍体造血干细胞移植(haplo-HSCT)的数量显著增加。以前使用基于计算的算法对 HLA 差异进行定量测量的单中心研究表明,HLA 分子错配的数量与 haplo-HSCT 中的复发保护和/或急性移植物抗宿主病(GVHD)风险增加有关。然而,来自小型研究的不一致结果使得难以全面了解 haplo-HSCT 中分子错配的临床影响。在这项研究中,我们研究了通过 HLAMatchmaker 测量的 HLA Ⅰ类和Ⅱ类错配单元(ME)评分以及特定位置的 ME 负荷在基于登记的 haplo-HSCT 受者队列中的预测结果的潜力。我们分析了 2013 年至 2017 年间在国际血液和骨髓移植研究中心数据库中接受其首次 haplo-HSCT 的 1287 例急性淋巴细胞白血病、急性髓细胞白血病或骨髓增生异常综合征患者的数据。使用 HLA Fusion 软件 v4.3 中的 HLAMatchmaker 模块对每个 HLA 基因座和总 I 类和 II 类的 ME 负荷进行评分,该模块基于结晶 HLA 分子模型识别预测的单元,并通过比较供体和受者单元来识别 ME。在研究队列中,来自 HLA Ⅰ类或Ⅱ类总基因座或单个 HLA 基因座的 ME 评分与总生存率、无病生存率、非复发死亡率、复发、急性移植物抗宿主病或慢性移植物抗宿主病无关(P <.01)。意外发现,供体向受者的 II 类总 ME 负荷与中性粒细胞植入较慢(风险比 [HR],0.82;95%置信区间 [CI],0.75 至 0.91;P <.0001)和血小板植入较慢(HR,0.80;95%CI,0.72 至 0.88;P <.0001)之间存在很强的关联。这可能归因于 HLA-DRB1 基因座的 ME 负荷,其与中性粒细胞植入较慢(HR,0.82;95%CI,0.73 至 0.92;P =.001)和血小板植入较慢(HR,0.76;95%CI,0.70 至 0.84;P <.0001)同样相关。进一步的分析表明,这种效应归因于移植物抗宿主方向的匹配与错配,而不是 ME 负荷,因为未确定剂量效应。这些发现与以前报告 HLA 分子 ME 负荷与 haplo-HSCT 结果之间存在关联的相对较小的研究结果相矛盾。本研究未能证明 HLA 分子的 ME 对主要临床结果的预测价值,haplo-HSCT 中应测试其他分子错配算法。