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Resolving CYP2D6 Structural Complexity with Long-Read Sequencing: Implications for Tamoxifen Precision Dosing in Thai
Usa Boonyuen1, Sirinyatorn Talukam1, Beatriz Aira C Jacob1
1Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Abstract:
Cytochrome P450 2D6 (CYP2D6)-mediated bioactivation of tamoxifen to endoxifen is a key determinant of therapeutic efficacy in estrogen receptor-positive breast cancer. In Asian populations, the high prevalence of structurally complex CYP2D6 alleles complicates conventional genotyping, limiting accurate genotype-phenotype correlation. To address these gaps, long-read Oxford Nanopore sequencing was applied to resolve CYP2D6 structural complexity and evaluate its impact on endoxifen metabolism. The study cohort included 492 Thai breast cancer patients, with multivariable analysis performed on 361 individuals receiving standard-dose tamoxifen to determine the association between CYP2D6 activity scores and plasma endoxifen concentrations. Long-read sequencing identified 82 distinct diplotypes and successfully resolved complex structural variations, including the prevalent CYP2D6*36 + *10 non-identical duplication. Overall, 46.55% of patients were classified as having decreased enzyme function, primarily intermediate metabolizers (45.53%). CYP2D6 activity score emerged as the strongest determinant of endoxifen exposure (P < 0.001). Decreased-function genotypes were significantly associated with lower endoxifen levels (using an exploratory benchmark of ≤5.97 ng/mL), independent of parent drug concentration. These findings demonstrate that long-read sequencing enables the precise resolution of CYP2D6 structural complexity. By accurately capturing rare and complex CYP2D6 alleles, the results indicate that standard genotyping may misclassify certain patients, potentially placing a large portion of the studied population at an unrecognized risk of low tamoxifen exposure.
Insights
Accurate tamoxifen therapy relies on Cytochrome P450 2D6 (CYP2D6) metabolism. Long-read sequencing precisely identifies complex CYP2D6 variants in Thai breast cancer patients, revealing potential risks of low drug exposure due to misclassification by standard genotyping.
Area of Science:
- Pharmacogenomics
- Genetics
- Oncology
Background:
- Tamoxifen efficacy in estrogen receptor-positive breast cancer is critically dependent on its bioactivation by Cytochrome P450 2D6 (CYP2D6).
- Complex CYP2D6 genetic variations are prevalent in Asian populations, posing challenges for accurate genotyping and genotype-phenotype correlation.
- This can lead to suboptimal tamoxifen dosing and reduced therapeutic benefits.
Purpose of the Study:
- To investigate the utility of long-read Oxford Nanopore sequencing for resolving complex CYP2D6 structural variations.
- To evaluate the impact of these complex CYP2D6 genotypes on endoxifen metabolism and tamoxifen efficacy in Thai breast cancer patients.
- To improve genotype-phenotype correlation for personalized tamoxifen therapy.
Main Methods:
- Applied long-read Oxford Nanopore sequencing to a cohort of 492 Thai breast cancer patients.
- Resolved complex CYP2D6 structural variations, including non-identical duplications.
- Performed multivariable analysis on 361 patients receiving standard-dose tamoxifen to correlate CYP2D6 activity scores with plasma endoxifen concentrations.
Main Results:
- Identified 82 distinct CYP2D6 diplotypes and successfully resolved complex structural variations.
- 46.55% of patients exhibited decreased CYP2D6 enzyme function, predominantly as intermediate metabolizers (45.53%).
- CYP2D6 activity score was the strongest determinant of endoxifen exposure (P < 0.001), with decreased-function genotypes significantly associated with lower endoxifen levels.
Conclusions:
- Long-read sequencing accurately resolves CYP2D6 structural complexity, capturing rare and complex alleles missed by standard genotyping.
- Standard genotyping may misclassify a significant proportion of patients, potentially leading to unrecognized risks of low tamoxifen exposure.
- Precise CYP2D6 genotyping is crucial for optimizing tamoxifen therapy and improving outcomes in breast cancer patients, particularly in populations with complex allele prevalence.
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