Search

•The TCR and NK-cell repertoire establish within the first 90 days after transplantation.•CMV reactivation is associated with enhanced TCR clonality and a shift toward enhanced maturation and functionality of NK cells.

HLA compatibility is a key factor for survival after unrelated hematopoietic stem cell transplantation (HSCT). HLA-A, -B, -C, -DRB1, and -DQB1 are usually matched between donor and recipient. By contrast, HLA-DPB1 mismatches are frequent, although it is feasible to optimize donor selection and DPB1 matching with prospective typing. Because classical DPB1 allele mismatches are often unavoidable, however, several biological models have been developed to predict the optimal DPB1 mismatch combination for less graft-versus-host disease (GVHD) and better overall survival. In 909 recipient/donor pairs, we analyzed the role of 3 biological models: T-cell epitopes (TCEs) based on the immunogenicity of DPB1, cell surface expression of DPB1 molecules based on a single-nucleotide polymorphism located in the 3′ untranslated region, and the Predicted Indirectly ReCognizable HLA Epitopes (PIRCHE) model based on the presentation of allogeneic peptides derived from mismatched HLA, compared with the classical allele mismatch. Matching for both DPB1 alleles remains the best option to prevent acute GVHD. In the situation of one DPB1 allele mismatch, the donor associated with the lowest acute GVHD risks is mismatched for an allele with a low expression profile in the recipient, followed by a permissive TCE3/4 mismatch and/or the absence of PIRCHE II potential against the recipient. In the context of 2 DPB1 mismatches, the same considerations apply for a permissive TCE3/4 mismatch and no PIRCHE II. By combining the biological models, the most favorable DPB1 constellation can be defined. This approach will help optimize donor selection and improve post-HSCT complications and patient prognosis.

After allogeneic hematopoietic stem cell transplantation (HSCT), immune reconstitution leads to the development of a new T-cell repertoire. Immune reconstitution could be influenced by events such as conditioning, infections, and graft versus host disease (GVHD). Factors influencing the TCR diversity are of great interest to fine-tune the strategy for donor selection and to optimize standard of care. In this work, immunosequencing of the TCR CDR3β region was carried out in a large cohort of 116 full chimeric recipients at 1 year post-HSCT and their respective donors prior to transplantation. The repertoire overlap before and after HSCT was minimal, supporting de novo reconstitution as a primary pathway at any age. Among the parameters investigated, increased patient and/or donor age as well as positive CMV serologic status reinforced by CMV infection/reactivation were the ones significantly associated with a reduced diversity at 1 year post-HSCT. CMV-specific T-cell clones were shown to influence the clonality of the repertoire alongside the expansion of limited numbers of non-CMV T-cell populations. Interestingly, at the exception of CMV infection/reactivation, TCR diversity was not predictive of GVHD, relapse, death, or infections post-HSCT.

HLA matching is a critical factor for successful allogeneic hematopoietic stem cell transplantation. For unrelated donor searches, matching is usually based on high-resolution typing at five HLA loci, looking for a 10/10 match. Some studies have proposed that further matching at the haplotype level could be beneficial for clinical outcome. In this study, we determined the phased haplotypes of 291 patients using family members and segregation analysis. The sum of ranks of the haplotypes carried by patients was used as a surrogate predictor of a successful unrelated donor search. The putative impact of haplotypes was then analyzed in a cohort of 211 recipients transplanted with 10/10 matched unrelated donors. A logistic regression analysis showed a highly significant effect of the haplotypes in the outcome of a search, but we did not find any significant effect on overall survival, graft versus host disease or relapse/progression following HSCT. This study provides useful data for the optimization of unrelated bone marrow donor searches, but does not confirm previous reports that matching at the haplotype level has a clinical impact following HSCT. Due to the extreme polymorphism of HLA genes, further studies are warranted to better understand the many factors at play.

HLA compatibility is a key factor for survival afterunrelated hematopoietic cell transplantation (HCT). HLA-A,B,C,DRB1 and DQB1 are usually matched between donor and recipient.By contrast, HLA-DPB1 mismatches are frequentalthough it is feasible to optimize donor selection and DPB1 matching with prospective typing. Yet, because classical DPB1 allele mismatches are often unavoidable, several biological models have been developed to predict the optimal DPB1 mismatch combination for less graft versushost disease (GVHD) and better overall survival.In909 recipient/donor pairs, we analyzed the role of threebiological models: T-Cell Epitopes (TCE) based on the immunogenicity of DPB1, cell surface expression of DPB1 molecules based on a SNP located in 3’UTR regulatory region and the Predicted Indirectly ReCognizable HLA Epitopes (PIRCHE) model based on the presentation of allogeneic peptides derived from mismatched HLA, compared to the classical allele mismatch. Matching for both DPB1 alleles remains the best option to prevent acute GVHD. In the situation of one DPB1 allele mismatch, the donor associated with the lowest acute GVHD risks is mismatched foran allele with low expression profile in the recipient, followed by a permissive TCE3/4 mismatch and/or the absence of PIRCHE II potential against the recipient. In the context of two DPB1 mismatches, the same considerations apply for a permissive TCE3/4 mismatch and no PIRCHE II. By combining the biological models, the most favorable DPB1 constellation can be defined. This approach will help optimizing donor selection and improve post-HSCT complications and patient prognosis.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.