Literature DB >> 28887054

HLA-DPB1 matching in unrelated hematopoietic stem cell transplantation program contributes to a higher incidence of disease relapse.

Marija Burek Kamenaric1, Marija Maskalan2, Zorana Grubic3, Mirta Mikulic4, Ranka Serventi Seiwerth5, Nadira Durakovic6, Radovan Vrhovac7, Katarina Stingl Jankovic8, Renata Zunec9.   

Abstract

The impact of patient/donor matching for HLA-A, -B, -C, -DRB1 and -DQB1 genes in hematopoietic stem cell transplantation (HSCT) is well-recognized, but typing for additional genes, such as HLA-DPB1, is still controversial. Based on defined T-cell epitope (TCE) groups, all HLA-DPB1 mismatches can be classified as permissive or non-permissive. In this retrospective study we analysed 82 patient-matched unrelated donor (MUD) pairs who underwent HSCT, and explored the impact of HLA-DPB1 matches, permissive and non-permissive mismatches on transplantation outcomes. Patient-MUD pairs matched for HLA-DPB1 alleles in univariate analysis were associated with a significantly higher incidence of disease relapse compared to pairs who were permissive/non-permissive HLA-DPB1 mismatched according to the TCE3 and TCE4 algorithms (P=0.025 and P=0.026, respectively), although the significance was lost in multivariate analysis. The analysis did not reveal any significant influence of HLA-DPB1 alleles on overall survival (OS), non-relapse mortality (NRM) or graft-versus-host disease (GvHD) incidence. In conclusion, our study presents evidence that HLA-DPB1 matching influenced the relapse rate in patients after HSCT so the HLA-DPB1 alleles should be implemented in the MUD search algorithm as a transplantation determinant.
Copyright © 2017. Published by Elsevier Inc.

Entities:  

Keywords:  HLA-DPB1; Haematopoietic stem cell transplantation; Non-permissive mismatch; Permissive mismatch; TCE3 algorithm; TCE4 algorithm

Mesh:

Substances:

Year:  2017        PMID: 28887054     DOI: 10.1016/j.humimm.2017.08.008

Source DB:  PubMed          Journal:  Hum Immunol        ISSN: 0198-8859            Impact factor:   2.850


  4 in total

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Authors:  Sharon A Savage; Mathias Viard; Colm O'hUigin; Weiyin Zhou; Meredith Yeager; Shengchao Alfred Li; Tao Wang; Veron Ramsuran; Nicolas Vince; Aurelie Vogt; Belynda Hicks; Laurie Burdett; Charles Chung; Michael Dean; Kelvin C de Andrade; Neal D Freedman; Sonja I Berndt; Nathaniel Rothman; Qing Lan; James R Cerhan; Susan L Slager; Yawei Zhang; Lauren R Teras; Michael Haagenson; Stephen J Chanock; Stephen R Spellman; Youjin Wang; Amanda Willis; Medhat Askar; Stephanie J Lee; Mary Carrington; Shahinaz M Gadalla
Journal:  Am J Hum Genet       Date:  2020-01-30       Impact factor: 11.025

2.  Immune Cell Infiltration Characteristics of Pigmented Villous Nodular Synovitis and Prediction of Potential Diagnostic Markers Based on Bioinformatics.

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Journal:  Biomed Res Int       Date:  2022-06-07       Impact factor: 3.246

3.  HLA-A, -B, -C, -DRB1, -DQA1, and -DQB1 allele and haplotype frequencies defined by next generation sequencing in a population of East Croatia blood donors.

Authors:  Stana Tokić; Veronika Žižkova; Mario Štefanić; Ljubica Glavaš-Obrovac; Saška Marczi; Marina Samardžija; Katerina Sikorova; Martin Petrek
Journal:  Sci Rep       Date:  2020-03-26       Impact factor: 4.379

4.  Influence of HLA-DPB1 mismatches on outcome after allogeneic hematopoietic stem cell transplantation.

Authors:  Mireille Hunziker; Jakob Passweg; Michael Medinger
Journal:  Leuk Res Rep       Date:  2021-07-14
  4 in total

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