4.4 Article

Impact of genomic risk factors on outcome after hematopoietic stem cell transplantation for patients with chronic myeloid leukemia

期刊

HAEMATOLOGICA-THE HEMATOLOGY JOURNAL
卷 95, 期 6, 页码 922-927

出版社

FERRATA STORTI FOUNDATION
DOI: 10.3324/haematol.2009.016220

关键词

genetic risk factors; statistical modeling; hematopoietic stem cell transplantation

资金

  1. European Leukemia Net [LSH-2002-2.2.0-3]
  2. Swiss National Research Foundation [3200B0-118176]
  3. Swiss Cancer League
  4. Regional Cancer League
  5. Horton Foundation.
  6. Amgen Europe GmbH
  7. F Hoffmann-La Roche
  8. Gilead Sciences
  9. Miltenyi Biotec GmbH
  10. Schering-Plough International Inc.
  11. Celegene International SARL
  12. Chugai Sanofi Aventis SNC
  13. Fresenius Biotech GmbH
  14. Gambro BCT
  15. Genzyme
  16. Pfizer
  17. Berlex AG (Schering AG Germany)
  18. Therakos
  19. Bristol Myers Squibb
  20. Novartis
  21. Cephalon
  22. Laboratoires Pierre Fabre
  23. GE Healthcare
  24. European Commission [QLRI-CT-200000010]
  25. TRANSEUROPE [QLK3-CT-2002-01936]
  26. STEMDIAGNOSTICS [LSHB-CT-0377030]
  27. Medical Research Council [MC_G0802523] Funding Source: researchfish
  28. MRC [MC_G0802523] Funding Source: UKRI

向作者/读者索取更多资源

Background Non-HLA gene polymorphisms have been shown to influence outcome after allogeneic hematopoietic stem cell transplantation. Results were derived from heterogeneous, small populations and their value remains a matter of debate. Design and Methods In this study, we assessed the effect of single nucleotide polymorphisms in genes for interleukin 1 receptor antagonist (IL1RAI), interleukin 4 (IL4), interleukin 6 (IL6), interleukin 10 (IL10), interferon (IFNG), tumor necrosis factor (TNF) and the cell surface receptors tumor necrosis factor receptor II (TNFRSFIB), vitamin D receptor (VDR) and estrogen receptor alpha (ESR1) in a homogeneous cohort of 228 HLA identical sibling transplants for chronic myeloid leukemia. Three good predictors of overall survival, identified via statistical methods including Cox regression analysis, were investigated for their effects on transplant-related mortality and relapse. Predictive power was assessed after integration into the established European Group for Blood and Marrow Transplantation (EBMT) risk score. Results Absence of patient TNFRSFIB 196R, absence of donor IL10 ATA/ACC and presence of donor IL1RN allele 2 genotypes were associated with increased transplantation-related mortality and decreased survival. Application of prediction error and concordance index statistics gave evidence that integration improved the EBMT risk score. Conclusions Non-HLA genotypes were associated with survival after allogeneic hematopoietic stem cell transplantation. When three genetic polymorphisms were added into the EBMT risk model they improved the goodness of fit. Non-HLA genotyping could, therefore, be used to improve donor selection algorithms and risk assessment prior to allogeneic hematopoietic stem cell transplantation.

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