Publication: Predicting survival using clinical risk scores and non-HLA immunogenetics
| dc.bibliographiccitation.firstpage | 1445 | |
| dc.bibliographiccitation.issue | 11 | |
| dc.bibliographiccitation.journal | Bone Marrow Transplantation | |
| dc.bibliographiccitation.lastpage | 1452 | |
| dc.bibliographiccitation.volume | 50 | |
| dc.contributor.author | Balavarca, Yesilda | |
| dc.contributor.author | Pearce, Kim F. | |
| dc.contributor.author | Norden, J. | |
| dc.contributor.author | Collin, M. | |
| dc.contributor.author | Jackson, Graham H. | |
| dc.contributor.author | Holler, Ernst | |
| dc.contributor.author | Dressel, Ralf | |
| dc.contributor.author | Kolb, H-J | |
| dc.contributor.author | Greinix, Hildegard T. | |
| dc.contributor.author | Socie, G. | |
| dc.contributor.author | Toubert, A. | |
| dc.contributor.author | Rocha, Vanderson | |
| dc.contributor.author | Gluckman, E. | |
| dc.contributor.author | Hromadnikova, Ilona | |
| dc.contributor.author | Sedlacek, Petr | |
| dc.contributor.author | Wolff, Daniel | |
| dc.contributor.author | Holtick, U. | |
| dc.contributor.author | Dickinson, Anne M. | |
| dc.contributor.author | Bickeboeller, Heike | |
| dc.date.accessioned | 2018-11-07T09:49:13Z | |
| dc.date.available | 2018-11-07T09:49:13Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Previous 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.doi | 10.1038/bmt.2015.173 | |
| dc.identifier.isi | 000368281800008 | |
| dc.identifier.pmid | 26214138 | |
| dc.identifier.uri | https://resolver.sub.uni-goettingen.de/purl?gro-2/35461 | |
| dc.notes.status | zu prüfen | |
| dc.notes.submitter | Najko | |
| dc.publisher | Nature Publishing Group | |
| dc.relation.issn | 1476-5365 | |
| dc.relation.issn | 0268-3369 | |
| dc.title | Predicting survival using clinical risk scores and non-HLA immunogenetics | |
| dc.type | journal_article | |
| dc.type.internalPublication | yes | |
| dc.type.peerReviewed | yes | |
| dc.type.status | published | |
| dspace.entity.type | Publication |