A1 Refereed original research article in a scientific journal

Computational Analysis of HLA-presentation of Non-synonymous Recipient Mismatches Indicates Effect on the Risk of Chronic Graft-vs.-Host Disease After Allogeneic HSCT




AuthorsRitari J, Hyvärinen K, Koskela S, Niittyvuopio R, Nihtinen A, Salmenniemi U, Putkonen M, Volin L, Kwan T, Pastinen T, Itälä-Remes M, Partanen J

PublisherFRONTIERS MEDIA SA

Publication year2019

JournalFrontiers in Immunology

Journal name in sourceFRONTIERS IN IMMUNOLOGY

Journal acronymFRONT IMMUNOL

Article numberARTN 1625

Volume10

Number of pages9

ISSN1664-3224

DOIhttps://doi.org/10.3389/fimmu.2019.01625

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/41686395


Abstract
Genetic mismatches in protein coding genes between allogeneic hematopoietic stem cell transplantation (allo-HSCT) recipient and donor can elicit an alloimmunity response via peptides presented by the recipient HLA receptors as minor histocompatibility antigens (mHAs). While the impact of individual mHAs on allo-HSCT outcome such as graft-vs.-host and graft-vs.-leukemia effects has been demonstrated, it is likely that established mHAs constitute only a small fraction of all immunogenic non-synonymous variants. In the present study, we have analyzed the genetic mismatching in 157 exome-sequenced sibling allo-HSCT pairs to evaluate the significance of polymorphic HLA class I associated peptides on clinical outcome. We applied computational mismatch estimation approaches based on experimentally verified HLA ligands available in public repositories, published mHAs, and predicted HLA-peptide affinites, and analyzed their associations with chronic graft-vs.-host disease (cGvHD) grades. We found that higher estimated recipient mismatching consistently increased the risk of severe cGvHD, suggesting that HLA-presented mismatching influences the likelihood of long-term complications in the patient. Furthermore, computational approaches focusing on estimation of HLA-presentation instead of all non-synonymous mismatches indiscriminately may be beneficial for analysis sensitivity and could help identify novel mHAs.

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