Publication:
Predicting survival using clinical risk scores and non-HLA immunogenetics

dc.bibliographiccitation.firstpage1445
dc.bibliographiccitation.issue11
dc.bibliographiccitation.journalBone Marrow Transplantation
dc.bibliographiccitation.lastpage1452
dc.bibliographiccitation.volume50
dc.contributor.authorBalavarca, Yesilda
dc.contributor.authorPearce, Kim F.
dc.contributor.authorNorden, J.
dc.contributor.authorCollin, M.
dc.contributor.authorJackson, Graham H.
dc.contributor.authorHoller, Ernst
dc.contributor.authorDressel, Ralf
dc.contributor.authorKolb, H-J
dc.contributor.authorGreinix, Hildegard T.
dc.contributor.authorSocie, G.
dc.contributor.authorToubert, A.
dc.contributor.authorRocha, Vanderson
dc.contributor.authorGluckman, E.
dc.contributor.authorHromadnikova, Ilona
dc.contributor.authorSedlacek, Petr
dc.contributor.authorWolff, Daniel
dc.contributor.authorHoltick, U.
dc.contributor.authorDickinson, Anne M.
dc.contributor.authorBickeboeller, Heike
dc.date.accessioned2018-11-07T09:49:13Z
dc.date.available2018-11-07T09:49:13Z
dc.date.issued2015
dc.description.abstractPrevious studies of non-histocompatibility leukocyte antigen (HLA) gene single-nucleotide polymorphisms (SNPs) on subgroups of patients undergoing allogeneic haematopoietic stem cell transplantation (HSCT) revealed an association with transplant outcome. This study further evaluated the association of non-HLA polymorphisms with overall survival in a cohort of 762 HSCT patients using data on 26 polymorphisms in 16 non-HLA genes. When viewed in addition to an already established clinical risk score (EBMT-score), three polymorphisms: rs8177374 in the gene for MyD88-adapter-like (MAL; P = 0.026), rs9340799 in the oestrogen receptor gene (ESR; P = 0.003) and rs1800795 in interleukin-6 (IL-6; P = 0.007) were found to be associated with reduced overall survival, whereas the haplo-genotype (ACC/ACC) in IL-10 was protective (P = 0.02). The addition of these non-HLA polymorphisms in a Cox regression model alongside the EBMT-score improved discrimination between risk groups and increased the level of prediction compared with the EBMT-score alone (gain in prediction capability for EBMT-genetic-score 10.8%). Results also demonstrated how changes in clinical practice through time have altered the effects of non-HLA analysis. The study illustrates the significance of non-HLA genotyping prior to HSCT and the importance of further investigation into non-HLA gene polymorphisms in risk prediction.
dc.identifier.doi10.1038/bmt.2015.173
dc.identifier.isi000368281800008
dc.identifier.pmid26214138
dc.identifier.urihttps://resolver.sub.uni-goettingen.de/purl?gro-2/35461
dc.notes.statuszu prüfen
dc.notes.submitterNajko
dc.publisherNature Publishing Group
dc.relation.issn1476-5365
dc.relation.issn0268-3369
dc.titlePredicting survival using clinical risk scores and non-HLA immunogenetics
dc.typejournal_article
dc.type.internalPublicationyes
dc.type.peerReviewedyes
dc.type.statuspublished
dspace.entity.typePublication

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