Cytochrome P450 2D6 Phenotype Research Articles

Increased risk of hospitalization for ultrarapid metabolizers of cytochrome P450 2D6.

BackgroundCytochrome P450 2D6 (CYP2D6) is responsible for the metabolism of clinically used drugs and other environmental exposures, but it is unclear whether the CYP2D6 phenotype is associated with adverse health outcomes. The aim was to determine the association of CYP2D6 phenotype with the risk of hospitalization or an emergency department (ED) visit among a group of primary care patients.MethodsIn this study, 929 adult patients underwent CYP2D6 testing. The primary outcome was risk of hospitalization or an ED visit from January 2005 through September 2014. CYP2D6 genotypes were interpreted as 1 of 7 clinical phenotypes, from ultrarapid to poor metabolizer, and patients with the extensive metabolizer phenotype were used as the reference group. The hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated for finding the association of CYP2D6 phenotypes with the risk of hospitalization or an ED visit by using Cox proportional hazard models and adjusting for age and sex.ResultsThe median age was 49 years (interquartile range, 46–52 years); 74% of patients had 3 or fewer chronic conditions, 285 had at least 1 hospitalization, and 496 had at least 1 ED visit. The risk of hospitalization was higher among patients who were ultrarapid metabolizers compared to extensive metabolizers (47% vs 30%; HR, 1.69; 95% CI, 1.11–2.57), as was the risk of an ED visit (62% vs 49%; HR, 1.50; 95% CI, 1.05–2.14). For poor metabolizers compared to extensive metabolizers, there was no difference in the risk of hospitalization (HR, 0.95; 95% CI, 0.58–1.56), but there was an increase in the risk of an ED visit (HR, 1.38; 95% CI, 0.96–1.98) (the difference was not statistically significant).ConclusionWe found an increased risk of hospitalization or an ED visit among ultrarapid compared to extensive CYP2D6 metabolizers. Further research identifying the mechanisms of the association and ultimate clinical utility is warranted.

Prediction and visualization of CYP2D6 genotype-based phenotype using clustering algorithms.

This study focused on the role of cytochrome P450 2D6 (CYP2D6) genotypes to predict phenotypes in the metabolism of dextromethorphan. CYP2D6 genotypes and metabolic ratios (MRs) of dextromethorphan were determined in 201 Koreans. Unsupervised clustering algorithms, hierarchical and k-means clustering analysis, and color visualizations of CYP2D6 activity were performed on a subset of 130 subjects. A total of 23 different genotypes were identified, five of which were observed in one subject. Phenotype classifications were based on the means, medians, and standard deviations of the log MR values for each genotype. Color visualization was used to display the mean and median of each genotype as different color intensities. Cutoff values were determined using receiver operating characteristic curves from the k-means analysis, and the data were validated in the remaining subset of 71 subjects. Using the two highest silhouette values, the selected numbers of clusters were three (the best) and four. The findings from the two clustering algorithms were similar to those of other studies, classifying *5/*5 as a lowest activity group and genotypes containing duplicated alleles (i.e., CYP2D6*1/*2N) as a highest activity group. The validation of the k-means clustering results with data from the 71 subjects revealed relatively high concordance rates: 92.8% and 73.9% in three and four clusters, respectively. Additionally, color visualization allowed for rapid interpretation of results. Although the clustering approach to predict CYP2D6 phenotype from CYP2D6 genotype is not fully complete, it provides general information about the genotype to phenotype relationship, including rare genotypes with only one subject.

In vitro functional assessment of 22 newly identified CYP2D6 allelic variants in the Chinese population.

Cytochrome P450 2D6 (CYP2D6) is one of the most widely investigated CYPs related to genetic polymorphisms and is responsible for one-quarter of the currently used clinical drugs. We previously detected 22 novel, non-synonymous, mutated sites in the Chinese population, but nothing is known about the functional effects of these mutations in terms of specific CYP2D6 substrates. In this study, wild-type CYP2D6, two common allelic variants and 22 newly reported CYP2D6 isoforms were transiently expressed in 293FT cells, and the enzymatic activities of these variants were systematically assessed using dextromethorphan and bufuralol as the probing substrates. Consequently, 19 and 21 allelic variants were found to exhibit significantly decreased enzymatic activities for dextromethorphan and bufuralol, respectively. Of 22 novel CYP2D6 variants, six allelic isoforms (CYP2D6.89, CYP2D6.92, CYP2D6.93, CYP2D6.96, E215K and R440C) exhibited absent or extremely reduced metabolic activities compared with those observed for the wild-type enzyme. Our in vitro functional data can be useful for CYP2D6 phenotype prediction and provide valuable information for the study of clinical impact of these newly found CYP2D6 variants in China.

CYP2D6 genotyping in paediatric patients with autism treated with risperidone: a preliminary cohort study.

To evaluate the association between cytochrome P450 2D6 (CYP2D6) phenotypes in paediatric patients with autistic spectrum disorders (ASD) treated with risperidone, adverse drug reactions (ADRs), and drug efficacy. An observational cohort study of 40 children (34 males, six females; median age 7y range 3-18y) with autistic disorder, pervasive developmental disorder not otherwise specified, or Asperger syndrome diagnosed using the Autism Diagnostic Interview-Revised and treated with risperidone for at least 3 months. Charts were reviewed for demographic and clinical information, response to treatment was assessed by parents and the treating neurologist on a three-point scale, and information about ADRs was collected. Trough plasma levels of risperidone and its metabolites were determined and CYP2D6 genotyping was performed. Twenty-six patients responded to therapy and 11 patients exhibited ADRs. CYP2D6 genotyping showed two patients to be poor metabolizers, two ultra-rapid metabolizers, seven intermediate metabolizers, and 29 extensive metabolizers. Both ultra-rapid metabolizer patients were non-responders and had no ADRs. In contrast, both poor metabolizer patients were responders but experienced ADRs. No correlation was found between risperidone dosage and either risperidone or drug metabolite plasma levels. There was no difference in risperidone or metabolite plasma levels when comparing responders to non-responders, or when comparing patients with or without ADRs. In patients with ASD treated with risperidone, a CYP2D6 phenotype may be associated with response to treatment and development of ADRs.

Challenges in CYP2D6 Phenotype Assignment from Genotype Data: A Critical Assessment and Call for Standardization

The cytochrome P450 2D6 (CYP2D6) enzyme contributes to the metabolism and/or bioactivation of approximately 25% of clinically used drugs. The CYP2D6 gene locus is highly polymorphic and complex, and variants within this gene locus affect CYP2D6 enzymatic function resulting in a wide range of metabolic activity from little to no activity to ultrarapid metabolism. For many of the drugs metabolized by CYP2D6, the variation in metabolic activity is one of the most important factors responsible for interindividual drug response. Therefore, determining an individual's CYP2D6 phenotype, or metabolic status, will help identify individuals that may benefit from a change in drug or drug dosage. Genotype analysis has become the method of choice to predict a person's metabolic status. Numerous reference laboratories now offer CYP2D6 genotyping; however, there can be substantial differences in the number of genetic variants interrogated as well as test interpretation. Furthermore, there is no standardized process of how a CYP2D6 genotype result is translated into a phenotype assignment. This review summarizes the complexity of CYP2D6 genotyping and highlights the major challenges for phenotype classification. We call for the implementation of a universally accepted system for CYP2D6 phenotype assignment to promote consistency of test interpretation among reference laboratories and medical institutions. We propose a system that utilizes the CYP2D6 activity score system to place individuals into a continuum of activity scores - rather than using the traditional poor, intermediate, extensive and ultra-rapid metabolizer categorizations - and directly translating activity scores into clinically actionable recommendations.

The association between CYP2D6 genotype and switching antipsychotic medication to clozapine

Genetic variation in the cytochrome P450 2D6 (CYP2D6) enzyme is responsible for interindividual differences in the metabolism of many antipsychotic drugs, but the clinical relevance of polymorphisms in CYP2D6 for response to antipsychotic treatment is relatively unknown. In the Netherlands, clozapine is prescribed only when patients are non-responsive to or intolerant of at least two different antipsychotics. The aim of our study was to determine the association of the CYP2D6 genotype with switching to clozapine, which served as a surrogate outcome marker for treatment response to antipsychotics. CYP2D6 genotype was assessed in patients who had been switched to clozapine and compared with antipsychotic users whose treatment regimen included no more than two different antipsychotic drugs and no clozapine. We also performed the analysis in patients who only used CYP2D6-dependent antipsychotics. A total of 528 patients were included in the study (222 cases, 306 controls). No statistically significant differences were found in the distribution of the polymorphisms among the case and control groups, both in all patients and in only those patients using CYP2D6-dependent antipsychotics. However, a trend was observed, suggesting an inverse association between CYP2D6 genotype and the switch to clozapine. (9.5 vs. 5.1 % poor metabolisers and 1.3 vs. 2.6 % ultrarapid metabolisers in cases vs. controls, respectively). Although the results of our study suggest that the CYP2D6 phenotype is not a major determining factor for patients to be switched to clozapine treatment, larger studies are warranted with a focus on the clinical consequences of the CYP2D6 ultrarapid metaboliser and poor metaboliser phenotypes.

Does Pharmacogenomics Account for Variability in Control of Acute Chemotherapy-Induced Nausea and Vomiting with 5-Hydroxytryptamine Type 3 Receptor Antagonists?

Chemotherapy-induced nausea and vomiting is one of the most concerning adverse drug effects from cytotoxic chemotherapy. Despite appropriate use of antiemetic guidelines, 20-30 % of patients experience breakthrough nausea and vomiting secondary to chemotherapy. To assess the variability of 5-hydroxytryptamine type 3 receptor antagonist efficacy caused by genetic variation, a review of the available literature was conducted. From the literature, three sources of pharmacogenomic variability were identified: polymorphisms associated with 5-hydroxytryptamine type 3 receptor subunits, drug metabolism via cytochromes P450, and drug transport in the body. Testing for receptor subunit polymorphisms is not applicable to a clinical setting at this time; however, cytochrome P450 2D6 testing is FDA-approved and widely accessible. Cytochrome P450 2D6 ultrarapid metabolizers and poor metabolizers displayed altered antiemetic efficacy when compared with intermediate metabolizers and extensive metabolizers. We postulate that testing for cytochrome P450 2D6 phenotypes may be the most accessible way to provide individualized antiemetic therapy in the future.

Cytochrome P450 2D6 Phenoconversion Is Common in Patients Being Treated for Depression

Determine the point prevalence of phenoconversion to cytochrome P450 2D6 (CYP2D6) poor metabolizer status in clinical practice. This multicenter, open-label, single-visit naturalistic study was conducted from October 2008 to July 2009 in adult patients (≥ 18 years) who had been receiving venlafaxine extended-release (ER) (37.5-225 mg/d) treatment for up to 8 weeks. A 15-mL blood sample was drawn 4 to 12 hours after patients' last venlafaxine ER dose. Plasma O-desmethylvenlafaxine and venlafaxine concentrations were determined for each patient. CYP2D6 poor metabolizer phenotype was defined as O-desmethylvenlafaxine to venlafaxine ratio < 1 based on published data. CYP2D6 genotype was determined for each patient; patients were classified as poor metabolizer, intermediate metabolizer, extensive metabolizer, and ultrarapid metabolizer. Agreement between poor metabolizer phenotype and genotype classifications was assessed using the McNemar test. Phenoconversion to CYP2D6 poor metabolizer status occurred in 209 of 865 individuals (24%) with a CYP2D6 non-poor metabolizer genotype. The incidence of CYP2D6 poor metabolizer status based on phenotype was almost 7 times higher than that expected based on genotype: only 4% (35/900) of patients were genotypic CYP2D6 poor metabolizers, but 27% (243/900) were phenotypic CYP2D6 poor metabolizers (McNemar test, P < .0001). CYP2D6 phenotype conversion is common in patients being treated for depression. These results are important because differences in CYP2D6 drug metabolic capacity, whether genetically determined or due to phenoconversion, can affect clinical outcomes in patients treated with drugs substantially metabolized by CYP2D6. These results demonstrate that personalized medicine based solely on genetics can be misleading and support the need to consider drug-induced variability as well. ClinicalTrials identifier: NCT00788944.

Cytochrome P450 2D6 phenotype and genotype in hypertensive patients on long-term therapy with metoprolol

The aim was to compare cytochrome P450 2D6 phenotype and genotype using metoprolol as a probe drug. Further, to investigate the influence of P450 2D6 activity on metoprolol pharmacokinetics and pharmacodynamics in patients on metoprolol therapy. Cytochrome P450 2D6 is a highly polymorphic enzyme that contributes to the variability of metoprolol. However, environmental factors also modify drug disposition. Forty-nine hypertensive patients were enrolled. Serum metoprolol and α-hydroxymetoprolol concentrations, resting heart rate were measured before, 1, 3 and 4 hours post-dose. Significantly higher normalized metoprolol serum concentrations, normalized metoprolol AUC0-4 and metoprolol oral clearance were observed in patients with lower P450 2D6 metabolic activity. A trend towards a lower resting heart rate before metoprolol intake was also observed in this group of patients. The differences in metoprolol disposition were more expressed when P450 2D6 phenotype instead of genotype was determined. Significant variations exist in metoprolol disposition in hypertensive patients. Both genotyping and phenotyping provides a valuable method in determining the enzymatic activity and in optimising metoprolol therapy (Tab. 3, Fig. 8, Ref. 35).

CYP2D6 phenotype indicative for optimized antiestrogen efficacy associates with outcome in early breast cancer patients

Endoxifen serum concentrations seem to correlate with outcome in breast cancer (BC) patients. Concurrently, cytochrome P450 2D6 (CYP2D6) enzyme activity and dextromethorphan (DM) metabolism are deemed a surrogate marker for the formation of endoxifen. Here, we conducted a matched cohort study to determine the impact of an extensive CYP2D6 phenotype on relapse in patients with early-stage estrogen receptor (ER)-positive BC and adjuvant tamoxifen intake. CYP2D6 extensive metabolism was determined upon appropriate dextromethorphan/dextrorphan (DM/DX) urinary excretion ratios (≤0.30). Fifty-nine BC patients were identified as extensive phenotype metabolizers, while for 148 matched controls, CYP2D6 was not determined. Patients and controls did not differ with respect to age, stage, hormone receptor status, HER2, grade, menopausal status, chemotherapy and antihormonal therapy. Survival analysis was performed according to clinical follow-up. Disease-free survival (DFS) of patients identified as extensive CYP2D6 metabolizers did not differ significantly from controls (p = 0.10). However, when patients with ER expression of ≤ 20 % were excluded from the analysis, DFS was associated with a more favorable outcome (p = 0.06). This study suggests a positive association between extensive CYP2D6 metabolism and outcome in early-stage ER-positive BC patients using tamoxifen and in particular, when a sufficient number ERs are represented on the primary tumor.

Population Pharmacokinetic Modeling of Risperidone and 9-Hydroxyrisperidone to Estimate CYP2D6 Subpopulations in Children and Adolescents

The study aims were to characterize risperidone and (±)-9-hydroxyrisperidone pharmacokinetic (PK) variability in children and adolescents and to evaluate covariate effects on PK parameters. Steady-state samples were drawn at predose, 1, 2, 4, and 7 hours postdose; cytochrome P450 2D6 (CYP2D6) genotypes were available for 28 subjects. A nonlinear mixed-effects model (NONMEM) modeled the PKs of risperidone and (±)-9-hydroxyrisperidone; covariates included age, weight, sex, and CYP2D6 phenotype. The model included 497 observations [risperidone (n = 163), (+) and (-)-9-hydroxyrisperidone (n = 334)] from 45 subjects aged 3-18.3 (mean 9.6 ± 3.7) years, weighing 16.8-110 (43 ± 20.2) kg. A 1-compartment mixture model described risperidone and (±)-9-hydroxyrisperidone clearances for 3 CYP2D6 metabolizer subpopulations: extensive, intermediate, and poor. Weight significantly affected (±)-9-hydroxyrisperidone clearance. Clearance estimates in the mixture model were poor metabolizer 9.38 L/h, intermediate metabolizer 29.2 L/h, and extensive metabolizer 37.4 L/h. Active moiety [risperidone plus (±)-9-hydroxyrisperidone] PK variability and the covariate effects were better explained with the addition of metabolite PK parameters. This model may aid the development of individualized risperidone dosing regimens in children and adolescents.

CYP2D6 Genotype and Tamoxifen Response in Postmenopausal Women with Endocrine-Responsive Breast Cancer: The Breast International Group 1-98 Trial

Adjuvant tamoxifen therapy is effective for postmenopausal women with endocrine-responsive breast cancer. Cytochrome P450 2D6 (CYP2D6) enzyme metabolizes tamoxifen to clinically active metabolites, and CYP2D6 polymorphisms may adversely affect tamoxifen efficacy. In this study, we investigated the clinical relevance of CYP2D6 polymorphisms. We obtained tumor tissues and isolated DNA from 4861 of 8010 postmenopausal women with hormone receptor-positive breast cancer who enrolled in the randomized, phase III double-blind Breast International Group (BIG) 1-98 trial between March 1998 and May 2003 and received tamoxifen and/or letrozole treatment. Extracted DNA was used for genotyping nine CYP2D6 single-nucleotide polymorphisms using polymerase chain reaction-based methods. Genotype combinations were used to categorize CYP2D6 metabolism phenotypes as poor, intermediate, and extensive metabolizers (PM, IM, and EM, respectively; n = 4393 patients). Associations of CYP2D6 metabolism phenotypes with breast cancer-free interval (referred to as recurrence) and treatment-induced hot flushes according to randomized endocrine treatment and previous chemotherapy were assessed. Cox proportional hazards models were used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs). All statistical tests were two-sided. No association between CYP2D6 metabolism phenotypes and breast cancer-free interval was observed among patients who received tamoxifen monotherapy without previous chemotherapy (P = .35). PM or IM phenotype had a non-statistically significantly reduced risk of breast cancer recurrence compared with EM phenotype (PM or IM vs EM, HR of recurrence = 0.86, 95% CI = 0.60 to 1.24). CYP2D6 metabolism phenotype was associated with tamoxifen-induced hot flushes (P = .020). Both PM and IM phenotypes had an increased risk of tamoxifen-induced hot flushes compared with EM phenotype (PM vs EM, HR of hot flushes = 1.24, 95% CI = 0.96 to 1.59; IM vs EM, HR of hot flushes = 1.23, 95% CI = 1.05 to 1.43). CYP2D6 phenotypes of reduced enzyme activity were not associated with worse disease control but were associated with increased hot flushes, contrary to the hypothesis. The results of this study do not support using the presence or absence of hot flushes or the pharmacogenetic testing of CYP2D6 to determine whether to treat postmenopausal breast cancer patients with tamoxifen.

The Discriminatory Value of CYP2D6 Genotyping in Predicting the Dextromethorphan/Dextrorphan Phenotype in Women with Breast Cancer

Background: The growth inhibitory effect of tamoxifen is used for the treatment of breast cancer. Tamoxifen efficacy is mediated by its biotransformation, predominantly via the cytochrome P450 2D6 (CYP2D6) isoenzyme, to the active metabolite endoxifen. We investigated the relationship of CYP2D6 genotypes to the metabolism of dextromethorphan (DM), which is frequently used as a surrogate marker for the formation of endoxifen. Methods: The CYP2D6 genotype was determined by polymerase chain reaction (PCR) in previously untreated patients with hormone receptor-positive invasive breast cancer considered to receive antihormonal therapy. The DM/dextrorphan (DX) urinary excretion ratios were obtained in a subset of patients by high-pressure liquid chromatography (HPLC)-mediated urine analysis after intake of 25 mg DM. The relationships of genotype and corresponding phenotype were statistically analyzed for association. Results: From 151 patients predicted based on their genotype data for the ‘traditional’ CYP2D6 phenotype classes poor, intermediate, extensive and ultrarapid, 83 patients were examined for their DM/DX urinary ratios. The genotype-based poor metabolizer status correlated with the DM/DX ratios, whereas the intermediate, extensive and ultrarapid genotypes could not be distinguished based on their phenotype. Citalopram intake did not significantly influence the phenotype. Conclusions: The DM metabolism can be reliably used to assess the CYP2D6 enzyme activity. The correlation with the genotype can be incomplete and the metabolic ratios do not seem to be compromised by citalopram. DM phenotyping may provide a standardized tool to better assess the CYP2D6 metabolic capacity.

Physiologically based pharmacokinetic modeling of tamoxifen and its metabolites in women of different CYP2D6 phenotypes provides new insight into the tamoxifen mass balance

Tamoxifen is a first-line endocrine agent in the mechanism-based treatment of estrogen receptor positive (ER+) mammary carcinoma and applied to breast cancer patients all over the world. Endoxifen is a secondary and highly active metabolite of tamoxifen that is formed among others by the polymorphic cytochrome P450 2D6 (CYP2D6). It is widely accepted that CYP2D6 poor metabolizers exert a pronounced decrease in endoxifen steady-state plasma concentrations compared to CYP2D6 extensive metabolizers. Nevertheless, an in-depth understanding of the chain of cause and effect between CYP2D6 genotype, endoxifen steady-state plasma concentration, and subsequent tamoxifen treatment benefit still remains to be evolved. In this study, physiologically based pharmacokinetic (PBPK)-modeling was applied to mechanistically investigate the impact of CYP2D6 phenotype on endoxifen formation in female breast cancer patients undergoing tamoxifen therapy. A PBPK-model of tamoxifen and its pharmacologically important metabolites N-desmethyltamoxifen (NDM-TAM), 4-hydroxytamoxifen (4-OH-TAM), and endoxifen was developed and validated. This model is able to simulate the pharmacokinetics (PK) after single and repeated oral tamoxifen doses in female breast cancer patients in dependence of the CYP2D6 phenotype. A detailed model-based analysis of the mass balance offered support for a recent hypothesis stating a more prominent role for endoxifen formation from 4-OH-TAM. In the future this model provides a good basis to further investigate the linkage of PK, mode of action, and treatment outcome in dependence of factors such as phenotype, ethnicity, or co-treatment with CYP2D6 inhibitors.

P4-01-04: Effects of CYP2D6 Phenotype and Drug Adherence on Tamoxifen Metabolite Levels.

Abstract Background Although the activity of cytochrome P450 2D6 (CYP2D6), the enzyme responsible for conversion of tamoxifen (TAM) to its most important active metabolite endoxifen, varies significantly with genotype. Routine genotype testing in patients on TAM has recently been discouraged. Conflicting results in publications regarding the prognostic utility of this test remain unexplained. Confounding factors could be lack of predicted correlation between CYP2D6 genotype and TAM active metabolites, or variability of patient compliance Methods: Consecutive breast cancer patients on TAM were asked to enroll in a study to examine the relationship between CYP 2D6 phenotype, patient-reported treatment adherence, and TAM metabolites levels. Patients were genotyped for CYP2D6 polymorphisms using long-range PCR allele-specific amplification and single-nucleotide primer extension assay. From the genotypes, four phenotype groups were defined: Ultra rapid Metabolizer (UM), Extensive Metabolizer (EM), Intermediate Metabolizer (IM) and Poor Metabolizer (PM). Plasma was collected after at least 6 weeks of TAM (20 mg daily). The parent drug TAM, as well as 4-hydroxy N-desmethyl tamoxifen (endoxifen), 4 hydroxy tamoxifen (4OHtam) and N-desmethyl-tamoxifen (NDtam), were determined by Liquid Chromatography tandem mass-spectrometry (LC-MS/MS). Patients also completed a questionnaire about ethinicity, side effects, concurrent medications and tamoxifen adherence. Correlation between metabolite/TAM ratio and phenotype was tested by Spearman correlation test. Relationship between metabolite levels and adherence was tested by Wilcoxon rank sum test. Chi square test was used to compare proportions. Results: Of the 100 patients enrolled there were 62 Caucasians, 25 Asians, 4 Africans and 6 Unknown. We found a strong correlation between ratio of endoxifen/TAM and phenotype (p &amp;lt;.0001) (Table 1) Over a 2 week period 68 never missed a TAM dose, 25 missed 1–2 times, 2 missed 3–5 times and 2 &amp;gt; 5times (2 missing data). In EM group we found significantly lower levels of TAM (p &amp;lt;.0001), NDtam (p=.008), 4OHtam (p=.003) in less adherent patients. A trend to decreased levels was also shown for endoxifen (p=.081). No associations were found between adherence or phenotype activity and side effects. Conclusions: Our data suggests the predicted association between endoxifen levels and genotype. However, non-adherence may have a significant confounding effect. Prospective studies to evaluate the prognostic impact of CYP2D6 variants for patients on adjuvant tamoxifen should be done but results could be confounded by variable drug adherence if this is not measured concurrently. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P4-01-04.

Cytochrome P450 2D6 Phenotyping in an Elderly Population With Dementia and Response to Galantamine in Dementia: A Pilot Study

Background The cytochrome P450 (CYP) 2D6 enzyme is involved in the metabolism of many drugs used by the elderly population. Variations in its activity can lead to altered drug response. However, few studies on the activity of this enzyme system have enrolled the elderly population. Objective The goal of this pilot study was to assess the feasibility of in vivo phenotyping of CYP2D6 in an elderly population with dementia and to determine if part of the variability in response to treatment with galantamine is attributable to CYP2D6 phenotype. Methods Patients with dementia attending geriatric clinics and receiving galantamine treatment for at least 6 months were enrolled in this case-control study. CYP2D6 phenotype was determined by analysis of the urinary concentrations of the probe drug dextromethorphan and its primary metabolite dextrorphan after ingestion of 30 mg of dextromethorphan. Patients were classified as robust responders to galantamine if their cognitive testing, as measured by using scores on the Mini–Mental State Examination or Alzheimer's Disease Assessment Scale–Cognitive subscale, had not changed or had improved after 6 months of treatment. Results Forty-three patients (23 men, 20 women; mean age, 78.4 years; 98% white) underwent phenotyping. The mean number of concomitantly prescribed medications was 5.7, and 16 patients (37%) were receiving other CYP2D6 substrate or inhibitor drugs. The distribution of CYP2D6 phenotype was similar to that seen in other white populations. There was no correlation between the phenotypic metabolic ratio and age, the number of routinely taken medications, whether patients were receiving other prescribed substrate or inhibitor drugs of CYP2D6 ( P = 0.63), or whether they were a robust responder ( P = 0.47). Conclusions Urinary assays of CYP2D6 phenotype are technically feasible in older individuals with dementia who are taking multiple medications, and may be a useful clinical tool in this population. However, the study was unable to make inferences about an association between CYP2D6 phenotype and galantamine responsiveness.

Cytochrome P450-2D6 extensive metabolizers are more vulnerable to methamphetamine-associated neurocognitive impairment: Preliminary findings

While neuropsychological deficits are evident among methamphetamine (meth) addicts, they are often unrelated to meth exposure parameters such as lifetime consumption and length of abstinence. The notion that some meth users develop neuropsychological impairments while others with similar drug exposure do not, suggests that there may be individual differences in vulnerability to the neurotoxic effects of meth. One source of differential vulnerability could come from genotypic variability in metabolic clearance of meth, dependent on the activity of cytochrome P450-2D6 (CYP2D6). We compared neuropsychological performance in 52 individuals with a history of meth dependence according with their CYP2D6 phenotype. All were free of HIV or hepatitis C infection and did not meet dependence criteria for other substances. Extensive metabolizers showed worse overall neuropsychological performance and were three times as likely to be cognitively impaired as intermediate/poor metabolizers. Groups did not differ in their demographic or meth use characteristics, nor did they evidence differences in mood disorder or other substance use. This preliminary study is the first to suggest that efficient meth metabolism is associated with worse neurocognitive outcomes in humans, and implicates the products of oxidative metabolism of meth as a possible source of brain injury.

The impact of CYP2D6-predicted phenotype on tamoxifen treatment outcome in patients with metastatic breast cancer

Background:Cytochrome P450 2D6 (CYP2D6) has a crucial role in the metabolic conversion of tamoxifen into the active metabolite endoxifen. In this cohort study, the effect of CYP2D6-predicted phenotype, defined as the combined effect of CYP2D6 genetic variation and concomitant use of CYP2D6-inhibiting medication, on time to breast cancer progression (TTP) and overall survival (OS) in women who use tamoxifen for metastatic breast cancer (MBC) was examined.Methods:We selected patients treated with tamoxifen (40 mg per day) for hormone receptor-positive MBC from whom a blood sample for pharmacogenetic analysis (CYP2D6*3, *4, *5, *6, *10 and *41) was available. Patient charts (n=102) were reviewed to assess TTP and OS, and to determine whether CYP2D6 inhibitors were prescribed during tamoxifen treatment.Results:OS was significantly shorter in patients with a poor CYP2D6 metaboliser phenotype, compared with extensive metabolisers (HR=2.09; P=0.034; 95% CI: 1.06–4.12). Co-administration of CYP2D6 inhibitors alone was also associated with a worse OS (HR=3.55; P=0.002; 95% CI: 1.59–7.96) and TTP (HR=2.97; P=0.008; 95% CI: 1.33–6.67) compared with patients without CYP2D6 inhibitors.Conclusion:CYP2D6 phenotype is an important predictor of treatment outcome in women who are receiving tamoxifen for MBC. Co-administration of CYP2D6 inhibitors worsens treatment outcome of tamoxifen and should therefore be handled with care.

Adjuvant Tamoxifen Treatment Outcome According to Cytochrome P450 2D6 (CYP2D6) Phenotype in Early Stage Breast Cancer: Findings from the International Tamoxifen Pharmacogenomics Consortium.

Abstract Background: An estimated 1.3 million women worldwide will be diagnosed this year with early stage breast cancer. The majority of women have estrogen receptor (ER) positive breast cancer and are candidates for endocrine therapy. Tamoxifen remains the most commonly employed agent worldwide and substantially reduces recurrence and mortality. Tamoxifen is a pro-drug. CYP2D6 converts tamoxifen to endoxifen, which is primarily responsible for inhibition of estrogen-stimulated breast cancer growth in vitro. There have been conflicting reports regarding the relationship between CYP2D6 genotype/phenotype and tamoxifen clinical outcome. The ITPC was established to collect the worldwide experience relating to genetic variation in CYP2D6 and the outcomes of women with ER positive breast cancer treated with adjuvant tamoxifen. Establishment of the predictive value of CYP2D6 would enable the a priori identification of patients that could be spared ineffective therapy.Methods: Individual patient data including tumor characteristics, genotype, medication data, and recurrence information were requested from all published and non-published reports of clinical outcomes related to CYP2D6 and deposited at PharmGKB. CYP2D6 genotype was available for the following null (*3, 4, 5 and 6) and IM (*10, 17 and 41) alleles. CYP2D6 inhibiting medication data was requested for weak and potent CYP2D6 inhibitors. The primary analysis was to determine the association of CYP2D6 phenotype (combined genotype and medication) with breast cancer recurrence in tamoxifen treated early stage, ER positive invasive breast cancer.Results: At this time, the ITPC has received patient data on 3432 patients from the U.S., Sweden, UK, Germany, Belgium, and Japan. Median age at diagnosis was 62 years. CYP2D6 genotype was available in 3,392 (99%). The allele frequency for CYP2D6*4, the most common allele associated with the CYP2D6 poor metabolizer phenotype, was q=0.23. A total of 1152 recurrences representing first events (either local, regional, distant, or contralateral breast cancer) were recorded. At the time of abstract submission, patient and genotype data from an additional 1300 tamoxifen treated patients were pending submission.Conclusions: The ITPC represents the largest collection of individual patient data in regard to the potential importance of CYP2D6 phenotype in adjuvant tamoxifen therapy. The findings from this consortium are expected to substantially improve the global understanding of CYP2D6 and tamoxifen clinical outcome. Final results will be presented at the meeting Citation Information: Cancer Res 2009;69(24 Suppl):Abstract nr 33.

Abstract C118: Influence of CYP2D6 phenotype on tamoxifen-treatment outcome in women with metastatic breast cancer

Abstract Introduction: Cytochrome P450 2D6 (CYP2D6) plays a crucial role in the metabolism of tamoxifen into the active metabolite endoxifen. Genetic variation in the CYP2D6 gene and co-administration of CYP2D6 inhibiting medication markedly reduce endoxifen plasma concentrations in patients. The impact hereof on the outcome of tamoxifen therapy in metastatic breast cancer is insufficiently known. In this cohort study, we examined the effect of CYP2D6 predicted phenotype (the combined effect of genetic variants and concomitant use of CYP2D6 inhibiting medication) on time to progression (TTP) and overall survival (OS) in women using tamoxifen for metastatic breast cancer was examined. Methods: We selected patients treated with tamoxifen (40mg/day) for hormone receptor positive metastatic breast cancer of whom blood samples for pharmacogenetic analysis (CYP2D6*3,*4,*5,*6) were available. Patient charts were reviewed to assess patient and tumor characteristics, TTP, OS, and use of CYP2D6 inhibitors. Results: Patients with poor CYP2D6 metabolizer phenotype (PMs) had a worse OS compared to extensive metabolizers (EMs) (HR = 2.11; P=0.031; 95% CI: 1.07–4.15, see Table). Patients with an intermediate (IM) and extensive metabolizer (EM) phenotype had comparable TTP and OS, and were further considered as one group in the Kaplan-Meier estimates. For PMs, the Kaplan-Meier estimate demonstrated a shorter TTP compared to the combined group of IMs and EMs: 1.7 years (95% CI: 0.9–2.5) versus 2.9 years (95% CI: 2.3 – 3.6) respectively (P = 0.089). Overall survival of the group of IM/EM patients was significantly longer than for PM patients, being 9.9 years (95% CI: 8.2–11.6) versus 5.4 years (95% CI: 3.7–7.1), respectively (P=0.012). Co-administration of CYP2D6 inhibitors alone was also associated with a worse OS (HR=3.55; P=0.002; 95% CI: 1.59–7.96) and a worse TTP (HR=2.97; P=0.008; 95% CI: 1.33–6.67) compared to patients without CYP2D6 inhibitors. Conclusions: CYP2D6 phenotype is an important predictor of treatment outcome in women treated with tamoxifen for hormone receptor positive metastatic breast cancer. Co-administration of CYP2D6 inhibitors worsens outcome of tamoxifen therapy, and should therefore be discouraged. Effect of CYP2D6 phenotype on TTP and OS CYP2D6 phenotype Time to progression (TTP) Overall Survival(OS) Cases (n=99) Cases (n=99) HR (95% CI) HR (95% CI) P-value P-value EM n=50 n=33 HR=1.00 (ref) HR=1.00 (ref) IM n=36 n=22 HR=1.05 (0.67–1.65) HR=0.88 (0.51–1.53) P=0.82 P=0.66 PM n=13 n=12 HR=1.74 (0.92–3.28) HR=2.11 (1.07–4.15) P=0.09 P=0.03 Citation Information: Mol Cancer Ther 2009;8(12 Suppl):C118.