Impact of genomic risk factors on survival after haematopoietic stem cell transplantation for patients with acute leukaemia
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články
PubMed
27870355
DOI
10.1111/iji.12295
Knihovny.cz E-zdroje
- MeSH
- dospělí MeSH
- genomika MeSH
- genotyp MeSH
- haplotypy genetika MeSH
- homologní transplantace škodlivé účinky MeSH
- leukemie genetika imunologie patologie terapie MeSH
- lidé středního věku MeSH
- lidé MeSH
- nemoc štěpu proti hostiteli imunologie MeSH
- prognóza MeSH
- proteiny tepelného šoku HSP70 genetika MeSH
- rizikové faktory MeSH
- testování histokompatibility MeSH
- transplantace hematopoetických kmenových buněk škodlivé účinky MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- proteiny tepelného šoku HSP70 MeSH
The EBMT risk score is an established tool successfully used in the prognosis of survival post-HSCT and is applicable for a range of haematological disorders. One of its main advantages is that score generation involves summation of clinical parameters that are available pretransplant. However, the EBMT risk score is recognized as not being optimal. Previous analyses, involving patients with various diagnoses, have shown that non-HLA gene polymorphisms influence outcome after allogeneic HSCT. This study is novel as it focuses only on patients having acute leukaemia (N = 458) and attempts to demonstrate how non-HLA gene polymorphisms can be added to the EBMT risk score in a Cox regression model to improve prognostic ability for overall survival. The results of the study found that three genetic factors improved EBMT risk score. The presence of MAL (rs8177374) allele T in the patient, absence of glucocorticoid receptor haplotype (consisting of rs6198, rs33389 and rs33388) ACT in the patient and absence of heat-shock protein 70-hom (+2437) (rs2227956) allele C in the patient were associated with decreased survival time. When compared to the EBMT risk score, the scores combining EBMT risk score with the genetic factors had an improved correlation with clinical outcome and better separation of risk groups. A bootstrapping technique, involving repeated testing of a model using multiple validation sets, also revealed that the newly proposed model had improved predictive value when compared to the EBMT risk score alone. Results support the view that non-HLA polymorphisms could be useful for pretransplant clinical assessment and provide evidence that polymorphisms in the recipient genotype may influence incoming donor cells, suppressing the initiation of the graft versus leukaemia effect and reducing survival.
Departement d'Immunologie Université Paris Diderot INSERM UMRS 940 AP HP Paris France
Department 1 of Internal Medicine University of Cologne Cologne Germany
Department of Cellular and Molecular Immunology University Medical Center Göttingen Germany
Department of Genetic Epidemiology University Medical Center Göttingen Germany
Department of Internal Medicine 3 University of Regensburg Regensburg Germany
Department of Internal Medicine Division of Haematology Medical University of Graz Graz Austria
EUROCORD University Research Institute St Louis Hospital Paris France
Haematological Sciences Institute of Cellular Medicine Newcastle University Newcastle upon Tyne UK
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