4.4 Article

Validation of variants in SLC28A3 and UGT1A6 as genetic markers predictive of anthracycline-induced cardiotoxicity in children

期刊

PEDIATRIC BLOOD & CANCER
卷 60, 期 8, 页码 1375-1381

出版社

WILEY
DOI: 10.1002/pbc.24505

关键词

anthracyclines; cardiotoxicity; genetic association study; pharmacogenomics

资金

  1. Canadian Institutes of Health Research
  2. Canada Foundation for Innovation
  3. Genome Canada
  4. Genome British Columbia
  5. Genome Quebec
  6. Child & Family Research Institute (Vancouver, BC)
  7. Faculties of Pharmaceutical Sciences and Medicine, University of British Columbia
  8. University of Western Ontario
  9. Canada Gene Cure Foundation
  10. Canadian Society of Clinical Pharmacology
  11. C17 Research Network
  12. Childhood Cancer Foundation-Candlelighters Canada
  13. Canadian Paediatric Society
  14. Merck Frosst
  15. Janssen-Ortho
  16. Illumina
  17. Eli Lilly
  18. Pfizer
  19. Canada Foundation for Innovation/Canadian Institutes of Health Research Regional/National Clinical Research Initiatives
  20. Genome British Columbia Translational Program for Applied Health
  21. Michael Smith Foundation for Health Research
  22. Child & Family Research Institute
  23. Stichting Kindergeneeskundig Kankeronderzoek (Foundation for Pediatric Cancer Research)

向作者/读者索取更多资源

Background . The use of anthracyclines as effective antineoplastic drugs is limited by the occurrence of cardiotoxicity. Multiple genetic variants predictive of anthracycline-induced cardiotoxicity (ACT) in children were recently identified. The current study was aimed to assess replication of these findings in an independent cohort of children. Procedure . Twenty-three variants were tested for association with ACT in an independent cohort of 218 patients. Predictive models including genetic and clinical risk factors were constructed in the original cohort and assessed in the current replication cohort. Results . We confirmed the association of rs17863783 in UGT1A6 and ACT in the replication cohort (P=0.0062, odds ratio (OR) 7.98). Additional evidence for association of rs7853758 (P=0.058, OR 0.46) and rs885004 (P=0.058, OR 0.42) in SLC28A3 was found (combined P=1.6x10-5 and P=3.0x10-5, respectively). A previously constructed prediction model did not significantly improve risk prediction in the replication cohort over clinical factors alone. However, an improved prediction model constructed using replicated genetic variants as well as clinical factors discriminated significantly better between cases and controls than clinical factors alone in both original (AUC 0.77 vs. 0.68, P=0.0031) and replication cohort (AUC 0.77 vs. 0.69, P=0.060). Conclusions . We validated genetic variants in two genes predictive of ACT in an independent cohort. A prediction model combining replicated genetic variants as well as clinical risk factors might be able to identify high- and low-risk patients who could benefit from alternative treatment options. Pediatr Blood Cancer 2013;601375-1381. (c) 2013 Wiley Periodicals, Inc.

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