4.7 Article

Replication of Genetic Polymorphisms Reported to Be Associated with Taxane-Related Sensory Neuropathy in Patients with Early Breast Cancer Treated with Paclitaxel

Journal

CLINICAL CANCER RESEARCH
Volume 20, Issue 9, Pages 2466-2475

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/1078-0432.CCR-13-3232

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Funding

  1. Cancer Research UK
  2. National Institute of Health Research (NIHR)
  3. Addenbrooke's Charitable Trust
  4. Experimental Cancer Medicine Centre Cambridge
  5. University of Cambridge
  6. Medical Research Council
  7. NIHR Cambridge Biomedical Research Centre
  8. Cancer Research UK [16561, 16942] Funding Source: researchfish
  9. Medical Research Council [1366822] Funding Source: researchfish
  10. National Institute for Health Research [NF-SI-0611-10154] Funding Source: researchfish

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Purpose: Associations between taxane-related sensory neuropathy (TRSN) and single-nucleotide polymorphisms (SNP) have previously been reported, but few have been replicated in large, independent validation studies. This study evaluates the association between previously investigated SNPs and TRSN, using genotype data from a study of chemotherapy-related toxicity in patients with breast cancer. Experimental Design: We investigated 73 SNPs in 50 genes for their contribution to TRSN risk, using genotype data from 1,303 European patients. TRSN was assessed using National Cancer Institute common toxicity criteria for adverse events classification. Unconditional logistic regression evaluated the association between each SNP and TRSN risk (primary analysis). Cox regression analysis assessed the association between each SNP and cumulative taxane dose causing the first reported moderate/severe TRSN (secondary analysis). The admixture likelihood (AML) test, which considers all SNPs with a prior probability of association with TRSN together, tested the hypothesis that certain SNPs are truly associated. Results: The AML test provided strong evidence for the association of some SNPs with TRSN (P = 0.023). The two most significantly associated SNPs were rs3213619(ABCB1) [OR 0.47; 95% confidence interval (CI), 0.28-0.79; P = 0.004] and rs9501929(TUBB2A) (OR 1.80; 95% CI, 1.20-2.72; P = 0.005). A further 9 SNPs were significant at P-value <= 0.05. Conclusion: This is currently the largest study investigating SNPs associated with TRSN. We found strong evidence that SNPs within genes in taxane pharmacokinetic and pharmacodynamic pathways contribute to TRSN risk. However, a large proportion of the inter-individual variability in TRSN remains unexplained. Further validated results from GWAS will help to identify new pathways, genes, and SNPs involved in TRSN susceptibility.

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