Literature DB >> 30042143

In silico prediction of nonpermissive HLA-DPB1 mismatches in unrelated HCT by functional distance.

Esteban Arrieta-Bolaños1, Pietro Crivello1, Bronwen E Shaw2, Kwang Woo Ahn2, Hai-Lin Wang2, Michael R Verneris3, Katharine C Hsu4, Joseph Pidala5, Stephanie J Lee2,6, Katharina Fleischhauer1, Stephen R Spellman7.   

Abstract

In silico prediction of high-risk donor-recipient HLA mismatches after unrelated donor (UD) hematopoietic cell transplantation (HCT) is an attractive, yet elusive, objective. Nonpermissive T-cell epitope (TCE) group mismatches were defined by alloreactive T-cell cross-reactivity for 52/80 HLA-DPB1 alleles (TCE-X). More recently, a numerical functional distance (FD) scoring system for in silico prediction of TCE groups based on the median impact of exon 2-encoded amino acid polymorphism on T-cell alloreactivity was developed for all DPB1 alleles (TCE-FD), including the 28/80 common alleles not assigned by TCE-X. We compared clinical outcome associations of nonpermissive DPB1 mismatches defined by TCE-X or TCE-FD in 8/8 HLA-matched UD-HCT for acute leukemia, myelodysplastic syndrome, and chronic myelogenous leukemia between 1999 and 2011 (N = 2730). Concordance between the 2 models was 92.3%, with most differences arising from DPB1*06:01 and DPB1*19:01 being differently assigned by TCE-X and TCE-FD. In both models, nonpermissive mismatches were associated with reduced overall survival (hazard ratio [HR], 1.15, P < .006 and HR, 1.12, P < .03), increased transplant-related mortality (HR, 1.31, P < .001 and HR, 1.26, P < .001) as well as acute (HR, 1.16, P < .02 and HR, 1.22, P < .001) and chronic (HR, 1.20, P < .003 and HR, 1.22, P < .001) graft-versus-host disease (GVHD). We show that in silico prediction of nonpermissive DPB1 mismatches significantly associated with major transplant outcomes is feasible for any DPB1 allele with known exon 2 sequence based on experimentally elaborated FD scores. This proof-of-principle observation opens new avenues for developing HLA risk-prediction models in HCT and has practical implications for UD searches.
© 2018 by The American Society of Hematology.

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Year:  2018        PMID: 30042143      PMCID: PMC6058232          DOI: 10.1182/bloodadvances.2018019620

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  68 in total

1.  Immunogenetics of HLA-DP--A New View of Permissible Mismatches.

Authors:  Katharina Fleischhauer
Journal:  N Engl J Med       Date:  2015-08-13       Impact factor: 91.245

2.  A structurally based approach to determine HLA compatibility at the humoral immune level.

Authors:  Rene J Duquesnoy
Journal:  Hum Immunol       Date:  2006-09-01       Impact factor: 2.850

3.  Amino acid substitution at peptide-binding pockets of HLA class I molecules increases risk of severe acute GVHD and mortality.

Authors:  Joseph Pidala; Tao Wang; Michael Haagenson; Stephen R Spellman; Medhat Askar; Minoo Battiwalla; Lee Ann Baxter-Lowe; Menachem Bitan; Marcelo Fernandez-Viña; Manish Gandhi; Ann A Jakubowski; Martin Maiers; Susana R Marino; Steven G E Marsh; Machteld Oudshoorn; Jeanne Palmer; Vinod K Prasad; Vijay Reddy; Olle Ringden; Wael Saber; Stella Santarone; Kirk R Schultz; Michelle Setterholm; Elizabeth Trachtenberg; E Victoria Turner; Ann E Woolfrey; Stephanie J Lee; Claudio Anasetti
Journal:  Blood       Date:  2013-08-27       Impact factor: 22.113

4.  A proposed algorithm predictive for cytotoxic T cell alloreactivity.

Authors:  Monique M Jöris; Jon J van Rood; Dave L Roelen; Machteld Oudshoorn; Frans H J Claas
Journal:  J Immunol       Date:  2012-01-18       Impact factor: 5.422

5.  Predicting an HLA-DPB1 expression marker based on standard DPB1 genotyping: Linkage analysis of over 32,000 samples.

Authors:  Bianca Schöne; Sabine Bergmann; Kathrin Lang; Ines Wagner; Alexander H Schmidt; Effie W Petersdorf; Vinzenz Lange
Journal:  Hum Immunol       Date:  2017-11-07       Impact factor: 2.850

6.  HLAMMATCHMAKER: a molecularly based donor selection algorithm for highly alloimmunized patients.

Authors:  R J Duquesnoy
Journal:  Transplant Proc       Date:  2001 Feb-Mar       Impact factor: 1.066

7.  HLAMatchmaker algorithm is not a suitable tool to predict the alloreactive cytotoxic T-lymphocyte response in vitro.

Authors:  Marlies K A Dankers; Martin B A Heemskerk; Rene J Duquesnoy; Ilias I N Doxiadis; Machteld Oudshoorn; Dave L Roelen; Frans H J Claas
Journal:  Transplantation       Date:  2004-07-15       Impact factor: 4.939

8.  The number of amino acid triplet differences between patient and donor is predictive for the antibody reactivity against mismatched human leukocyte antigens.

Authors:  Marlies K A Dankers; Marian D Witvliet; Dave L Roelen; Peter de Lange; Nelleke Korfage; Guido G Persijn; René Duquesnoy; Ilias I N Doxiadis; Frans H J Claas
Journal:  Transplantation       Date:  2004-04-27       Impact factor: 4.939

9.  Predicting the immunogenicity of human leukocyte antigen class I alloantigens using structural epitope analysis determined by HLAMatchmaker.

Authors:  Vasilis Kosmoliaptsis; J Andrew Bradley; Linda D Sharples; Afzal Chaudhry; Timothy Key; Reyna S Goodman; Craig J Taylor
Journal:  Transplantation       Date:  2008-06-27       Impact factor: 4.939

10.  A comparative reference study for the validation of HLA-matching algorithms in the search for allogeneic hematopoietic stem cell donors and cord blood units.

Authors:  W Bochtler; L Gragert; Z I Patel; J Robinson; D Steiner; J A Hofmann; J Pingel; A Baouz; A Melis; J Schneider; H-P Eberhard; M Oudshoorn; S G E Marsh; M Maiers; C R Müller
Journal:  HLA       Date:  2016-05-24       Impact factor: 4.513

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  5 in total

1.  Comparative evaluation of biological human leukocyte antigen DPB1 mismatch models for survival and graft-versus-host disease prediction after unrelated donor hematopoietic cell transplantation.

Authors:  Francesca Lorentino; Nicoletta Sacchi; Elena Oldani; Valeria Miotti; Alessandra Picardi; Anna Maria Gallina; Pietro Crivello; Paolo Bernasconi; Riccardo Saccardi; Lucia Farina; Fabio Benedetti; Michela Cerno; Anna Grassi; Benedetto Bruno; Francesca Patriarca; Fabio Ciceri; Katharina Fleischhauer; Luca Vago; Francesca Bonifazi
Journal:  Haematologica       Date:  2019-08-30       Impact factor: 9.941

2.  Role of HLA-DP Expression in Graft-Versus-Host Disease After Unrelated Donor Transplantation.

Authors:  Effie W Petersdorf; Mats Bengtsson; Dianne De Santis; Valerie Dubois; Katharina Fleischhauer; Ted Gooley; Mary Horowitz; J Alejandro Madrigal; Mari Malkki; Caroline McKallor; Yasuo Morishima; Machteld Oudshoorn; Stephen R Spellman; Jean Villard; Phil Stevenson; Mary Carrington
Journal:  J Clin Oncol       Date:  2020-06-01       Impact factor: 44.544

Review 3.  Selection of unrelated donors and cord blood units for hematopoietic cell transplantation: guidelines from the NMDP/CIBMTR.

Authors:  Jason Dehn; Stephen Spellman; Carolyn K Hurley; Bronwen E Shaw; Juliet N Barker; Linda J Burns; Dennis L Confer; Mary Eapen; Marcelo Fernandez-Vina; Robert Hartzman; Martin Maiers; Susana R Marino; Carlheinz Mueller; Miguel-Angel Perales; Raja Rajalingam; Joseph Pidala
Journal:  Blood       Date:  2019-07-10       Impact factor: 22.113

4.  Revisit of Optimal Donor Number Estimation in the Hong Kong Bone Marrow Donor Registry.

Authors:  Jenny Chung Yee Ho; Stephen Kwok Fan Cheung; Zhongyi Lui; Ivan Wing Hong Tang; Wanling Yang; Patrick Ip; Cheuk Kwong Lee; Derek Middleton; Janette Siu Yin Kwok
Journal:  Front Immunol       Date:  2021-04-16       Impact factor: 7.561

5.  Review of Genetic Variation as a Predictive Biomarker for Chronic Graft-Versus-Host-Disease After Allogeneic Stem Cell Transplantation.

Authors:  Jukka Partanen; Kati Hyvärinen; Heike Bickeböller; Katarzyna Bogunia-Kubik; Rachel E Crossland; Milena Ivanova; Francesca Perutelli; Ralf Dressel
Journal:  Front Immunol       Date:  2020-10-19       Impact factor: 7.561

  5 in total

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