SynthesisCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025
CYP2D6 Phenotype and Breast Cancer Outcomes: A Bias Analysis and Meta-Analysis.
Synthesis in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Concurrent Antidepressant Use and Metastasis Risk Among Women Receiving Tamoxifen for Breast Cancer: A Real-World Cohort Study.Psycho-oncology · 2026Article
- Combining Observational Studies to Reduce Multiple Biases.Epidemiology (Cambridge, Mass.) · 2026Article
- A multi-ancestry genome-wide study of tamoxifen metabolism and breast cancer recurrence.NPJ breast cancer · 2026Article
- The evolving landscape of pharmacogenomics: Current achievements and future directions.Pharmacological reviews · 2026Review
- Pharmacotherapeutic considerations of selective estrogen receptor modulators for vascular protection.Frontiers in pharmacology · 2026Review
- Impact of Complex Genetic and Drug-Drug Interactions on Tamoxifen Metabolism and Efficacy.Journal of personalized medicine · 2025Review
- Preventing adverse drug reactions and more: current clinical use of pharmacogenetic testing.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2025Article
- The impact of coadministration of venlafaxine, citalopram or gabapentin on the metabolic activation of tamoxifen.Breast cancer research and treatment · 2025Article
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Abstract
backgroundWe evaluated the impact of systematic bias due to loss of heterozygosity (LOH) and incomplete phenotyping in studies examining the relationship between CYP2D6 variants and breast cancer recurrence among women treated with tamoxifen.
methodsWe performed a systematic review of the literature on tamoxifen, CYP2D6 variants, and breast cancer recurrence. A quantitative bias analysis was performed to adjust for LOH and incomplete phenotyping. Bias-adjusted results were then combined in a meta-analysis.
resultsThirty-three studies informed the bias analysis and meta-analysis on CYP2D6 variants and breast cancer recurrence and/or mortality. An unadjusted meta-analysis suggested increased risk of recurrence and/or mortality for poor relative to normal metabolizers [RR = 1.28; 95% simulation interval (SI), 1.04-1.58] with substantial heterogeneity (I2 = 27%; P for heterogeneity = 0.07). Adjusting for LOH and incomplete genotyping resulted in a slight change in the effect estimate and a decrease in heterogeneity (RR = 1.34; 95% SI, 1.10-1.63; I2 = 0%; P for heterogeneity = 0.17). Intermediate metabolizers had a slightly increased risk of recurrence and/or mortality relative to normal metabolizers (RR = 1.15; 95% SI, 1.00-1.34; I2 = 0%; P for heterogeneity = 0.89).
conclusionsAdjusting for biases such as LOH and incomplete genotyping reduced observed heterogeneity between studies. Individuals with poor CYP2D6 phenotypes were at increased risk for breast cancer outcomes compared with those with normal phenotypes. IMPACT: Reduction in CYP2D6 activity was associated with an increased risk of breast cancer recurrence and/or mortality, and results underscore the importance of quantitatively adjusting for biases when aggregating study results. See related In the Spotlight, p. 221.
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