Hurley Carolyn Katovich
Georgetown University Medical Center, Washington, DC, USA.
Int J Hematol. 2002 Aug;76 Suppl 2:152-4. doi: 10.1007/BF03165107.
Matching of patient and unrelated donor for HLA molecules significantly decreases the probability of graft rejection, graft vs. host disease, and transplant-related mortality in hematopoietic stem cell transplantation. A significant challenge in the identification of matched donors is the diversity of the HLA system. Almost 1500 alleles have been identified at 12 HLA loci. Significant progress has been made in the application of DNA-based testing to identify this diversity in patients and unrelated volunteer donors; however, the resolution of registry testing remains limited by the need to test many donors inexpensively. Thus, the transplant center must predict which donor might be a match for their patient using incomplete typing information. Design of a typing strategy based on knowledge of allele and haplotype frequencies is critical to speed donor identification. A further challenge is to compare patient HLA assignments to the over 7.7 million volunteer donors on registries carrying both DNA and serologic assignments. The links between alleles and serologic specificities remain unclear in many cases and complicate the design of computer algorithms used to match patients and donors. Finally, since few patients will find donors who are allele matched for all HLA loci, studies are underway to understand which of the HLA loci are most critical to match and to define rules of permissive mismatching to achieve an acceptable outcome.
在造血干细胞移植中,患者与无关供体的人类白细胞抗原(HLA)分子匹配可显著降低移植物排斥、移植物抗宿主病及移植相关死亡率的发生概率。识别匹配供体的一个重大挑战在于HLA系统的多样性。在12个HLA位点已鉴定出近1500个等位基因。基于DNA的检测技术在识别患者及无关志愿供体的这种多样性方面已取得显著进展;然而,登记检测的分辨率仍受限于以低成本检测众多供体的需求。因此,移植中心必须利用不完整的分型信息来预测哪些供体可能与他们的患者匹配。基于等位基因和单倍型频率知识设计分型策略对于加快供体识别至关重要。另一个挑战是将患者的HLA分型结果与登记处超过770万携带DNA和血清学分型信息的志愿供体进行比较。在许多情况下,等位基因与血清学特异性之间的联系仍不明确,这使得用于匹配患者和供体的计算机算法设计变得复杂。最后,由于很少有患者能找到所有HLA位点等位基因均匹配的供体,目前正在开展研究以了解哪些HLA位点的匹配最为关键,并确定允许错配的规则以实现可接受的结果。