journal contribution
posted on 2023-03-31, 18:11 authored by Jean E. Abraham, Qi Guo, Leila Dorling, Jonathan Tyrer, Susan Ingle, Richard Hardy, Anne-Laure Vallier, Louise Hiller, Russell Burns, Linda Jones, Sarah J. Bowden, Janet A. Dunn, Christopher J. Poole, Carlos Caldas, Paul P.D. Pharoah, Helena M. Earl <p>PDF file - 237KB, Supplementary Table 1: Published Studies of Putative Functional SNPs Supplementary Table 2a: Drug Regimens and Doses of Taxanes by Study Supplementary Table 2b: Comparison of Toxicity grades/rates by recruiting trial in PGSNPS included in Taxane Related Sensory Neuropathy Study Supplementary Table 3: PGSNPS Taxane Treated Patient Characteristics Supplementary Table 4: All Putative Functional SNPs Replicated in the PGSNPS dataset (phenotype: cumulative dose to TRSN) Supplementary Table 5: All Putative Functional SNPs Replicated in the PGSNPS dataset (phenotype: maximum TRSN) Supplementary Figure 1: Percentage of Patients with TRSN ≥ grade 2 by genotype, for three statistically significant SNPs that were genotyped in PGSNPS (maximum TRSN) Supplementary Figures 2a-c: Kaplan-Meier curves Kaplan-Meier curves: Shows for each SNP, by genotype, the probability of TRSN grade 0-1 (i.e., the probability of not experiencing moderate/severe TRSN) as the cumulative dose increases.</p>
History
ARTICLE ABSTRACT
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. Clin Cancer Res; 20(9); 2466–75. ©2014 AACR.
