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- Danese, E., et al.
(author)
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Impact of the CYP4F2 p.V433M Polymorphism on Coumarin Dose Requirement: Systematic Review and Meta-Analysis
- 2012
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In: Clinical Pharmacology and Therapeutics. - : Springer Science and Business Media LLC. - 1532-6535 .- 0009-9236. ; 92:6, s. 746-756
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Research review (peer-reviewed)abstract
- A systematic review and a meta-analysis were performed to quantify the accumulated information from genetic association studies investigating the impact of the CYP4F2 rs2108622 (p.V433M) polymorphism on coumarin dose requirement. An additional aim was to explore the contribution of the CYP4F2 variant in comparison with, as well as after stratification for, the VKORC1 and CYP2C9 variants. Thirty studies involving 9,470 participants met prespecified inclusion criteria. As compared with CC-homozygotes, T-allele carriers required an 8.3% (95% confidence interval (CI): 5.6-11.1%; P < 0.0001) higher mean daily coumarin dose than CC homozygotes to reach a stable international normalized ratio (INR). There was no evidence of publication bias. Heterogeneity among studies was present (I-2 = 43%). Our results show that the CYP4F2 p.V433M polymorphism is associated with interindividual variability in response to coumarin drugs, but with a low effect size that is confirmed to be lower than those contributed by VKORC1 and CYP2C9 polymorphisms.
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| 2. |
- Province, M. A., et al.
(author)
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CYP2D6 Genotype and Adjuvant Tamoxifen : Meta-Analysis of Heterogeneous Study Populations
- 2014
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In: Clinical Pharmacology and Therapeutics. - New York, USA : Nature Publishing Group. - 0009-9236 .- 1532-6535. ; 95:2, s. 216-227
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Journal article (peer-reviewed)abstract
- The International Tamoxifen Pharmacogenomics Consortium was established to address the controversy regarding cytochrome P450 2D6 (CYP2D6) status and clinical outcomes in tamoxifen therapy. We performed a meta-analysis on data from 4,973 tamoxifen-treated patients (12 globally distributed sites). Using strict eligibility requirements (postmenopausal women with estrogen receptor-positive breast cancer, receiving 20 mg/day tamoxifen for 5 years, criterion 1), CYP2D6 poor metabolizer status was associated with poorer invasive disease-free survival (IDFS: hazard ratio = 1.25; 95% confidence interval = 1.06, 1.47; P = 0.009). However, CYP2D6 status was not statistically significant when tamoxifen duration, menopausal status, and annual follow-up were not specified (criterion 2, n = 2,443; P = 0.25) or when no exclusions were applied (criterion 3, n = 4,935; P = 0.38). Although CYP2D6 is a strong predictor of IDFS using strict inclusion criteria, because the results are not robust to inclusion criteria (these were not defined a priori), prospective studies are necessary to fully establish the value of CYP2D6 genotyping in tamoxifen therapy.
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| 3. |
- Nyberg, F, et al.
(author)
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Interstitial lung disease in gefitinib-treated Japanese patients with non-small-cell lung cancer: genome-wide analysis of genetic data
- 2011
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In: Pharmacogenomics. - : Future Medicine Ltd. - 1744-8042 .- 1462-2416. ; 12:7, s. 965-975
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Journal article (peer-reviewed)abstract
- Aim: To investigate potential relationships between SNPs and acute interstitial lung disease (ILD) events in Japanese non-small-cell lung cancer patients receiving gefitinib. Materials & methods: Japanese non-small-cell lung cancer patients treated with gefitinib from a prospective pharmacoepidemiological cohort with a nested case–control study component (‘CCS’; 52 ILD cases, 139 controls) and a retrospective study (28 ILD cases, 55 controls) were genotyped for nearly 500,000 SNPs. Associations between genotype and ILD were evaluated using Fisher’s exact test and logistic regression modeling, and false discovery rate analysis was used to adjust for the large number of statistical tests. Results: The CCS data provided some false discovery rate evidence that the significance of top-ranking SNPs exceeded levels expected by chance, suggesting some genuine associations. However, replication analyses using retrospective study data were not supportive and there was little evidence of strong genetic associations from a combined analysis. Adjustment of CCS analyses for clinical variables provided little additional convincing evidence. Significant gene–gene interactions between SNP pairs using CCS data were not confirmed in retrospective study replication analyses. Conclusion: Although it is not possible to exclude genetic influences in ILD etiology, common sequence variation is unlikely to explain a major component of ILD risk. Our top results may provide a useful hypothesis-generating starting point for further research. Presented, in part, at the 26th ICPE: International Conference on Pharmacoepidemiology & Therapeutic Risk Management, Brighton, UK, 19–22 August 2010. Original submitted 1 December 2010; Revision submitted 22 February 2011
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