Pharmacogenomics (PGx) is widely recognized as an important aspect in personalizedMedicine. By analyzing and interpreting one’s genetic profile dose and drug adjustmentscan be made. In this way,... Show morePharmacogenomics (PGx) is widely recognized as an important aspect in personalizedMedicine. By analyzing and interpreting one’s genetic profile dose and drug adjustmentscan be made. In this way, one can strive to improve the safety and efficacy of drugtreatments. Nonetheless, not all genetic variability in drug response can be explained withcurrent PGx. In this thesis we explore the role of additional genetic factors which can explain this missing heritability. Firstly, rare and novel variants which are unaccounted for in routine PGx panels might play a role. Secondly, the complexity of pharmacogenes can result in an inability tounravel the genetic make-up of these genes. Thirdly, haplotype phasing is generally nottaken into account in PGx. Fourthly, all genetic variants are currently summarized intoone of four metabolic categories: poor metabolizers (PM), intermediate metabolizers(IM), normal metabolizers (NM) (previously EM) and ultra-rapid metabolizers (UM).However, enzyme activity is not a matter of ‘on’ or ‘off ’, but is more of a continuous scale.Finally, the effect of a genetic variant on drug metabolism shows substrate specific effects.This substrate specificity can result in erroneous extrapolation of variant effects to theentire range of substrates. The development of novel technologies to determine one’sgenetic make-up is evolving rapidly, thereby providing opportunities for the field of PGxto address these issues. In this thesis we show that by using long-read sequencing or trio-based sequencing more information can be obtained which can lead to a better understanding of the (rare) variants and can help with haplotype phasing. Moreover, we have shown that by combining long-read sequencing with artificial intelligence a substantial increase in explained variability can be achieved. Show less
Aim Method Metoprolol (a CYP2D6 substrate) is often co-prescribed with paroxetine/fluoxetine (a CYP2D6 inhibitor) because the clinical relevance of this drug-drug interaction (DDI) is still unclear... Show moreAim Method Metoprolol (a CYP2D6 substrate) is often co-prescribed with paroxetine/fluoxetine (a CYP2D6 inhibitor) because the clinical relevance of this drug-drug interaction (DDI) is still unclear. This review aimed to systematically evaluate the available evidence and quantify the clinical impact of the DDI. Pubmed, Web of Science, Cochrane Library and Embase were searched for studies reporting on the effect of the DDI among adults published until April 2018. Data on pharmacokinetics, pharmacodynamics and clinical outcomes from experimental, observational and case report studies were retrieved. The protocol of this study was registered in PROSPERO (CRD42018093087). Results Conclusion We found nine eligible articles that consisted of four experimental and two observational studies as well as three case reports. Experimental studies reported that paroxetine increased the AUC of metoprolol three to five times, and significantly decreased systolic blood pressure and heart rate of patients. Case reports concerned bradycardia and atrioventricular block due to the DDI. Results from observational studies were conflicting. A cohort study indicated that the DDI was significantly associated with the incidence of early discontinuation of metoprolol as an indicator of the emergence of metoprolol-related side effects. In a case-control study, the DDI was not significantly associated with bradycardia. Despite the contradictory conclusions from the current literature, the majority of studies suggest that the DDI can lead to adverse clinical consequences. Since alternative antidepressants and beta-blockers with comparable efficacy are available, such DDIs can be avoided. Nonetheless, if prescribing the combination is unavoidable, a dose adjustment or close monitoring of the metoprolol-related side effects is necessary. Show less
Buermans, H.P.J.; Vossen, R.H.A.M.; Anvar, S.Y.; Allard, W.G.; Guchelaar, H.J.; White, S.J.; ... ; Straaten, T. van der 2017
Selection of patients who will likely respond or will develop relevant side effects has the potential to improve anticancer therapy. Considering the many contributing factors in drug disposition,... Show moreSelection of patients who will likely respond or will develop relevant side effects has the potential to improve anticancer therapy. Considering the many contributing factors in drug disposition, we hypothesized that variability in drug disposition could be better explained by phenotype, rather than by the genotype alone. In this thesis, phenotype tests in oncology were studied, with a focus on phenotype breath tests and CYP2D6 metabolism in breast cancer patients using tamoxifen. A review is given of phenotype studies published before 2011 addressing drug metabolizing enzymes in relation to anticancer drugs. The 13C-dextromethorphan-breath test was related to CYP2D6 genotype and serum concentrations of endoxifen, the active metabolite of tamoxifen. A 13C-dextromethorphan breath test was equally predictive of endoxifen levels as compared to the CYP2D6 genotype. We showed that there was no difference in CYP2D6 phenotype between metastasized patients and early breast cancer patients. Because endoxifen levels did not significantly differ between the two groups as well, our findings do not have clinical implications thus far. Show less
Not all hormone receptor positive breast cancer patients benefit from tamoxifen treatment, but may be nonetheless exposed to its side effects (e.g. hot flashes). Tamoxifen needs bioactivation by... Show moreNot all hormone receptor positive breast cancer patients benefit from tamoxifen treatment, but may be nonetheless exposed to its side effects (e.g. hot flashes). Tamoxifen needs bioactivation by formation of the metabolite endoxifen, which is mainly catalyzed by the enzyme CYP2D6. In this thesis, we studied the variation in tamoxifen metabolism in relation to endoxifen serum concentration, tamoxifen efficacy and side effects, focusing on CYP2D6 activity and pharmacogenetics. The importance of good methodology for genotyping and endoxifen measurement was exemplified. In a large trial population, no association between CYP2D6 genotype and disease free survival or the occurence of hot flashes was found, although polymorphisms in the estrogen receptor-1 and UGT2B15 might be related to clinical outcome. Adherence, but not the concomitant use of CYP2D6 inhibiting medication was associated with breast cancer recurrence. CYP2D6 genotype and endoxifen-guided tamoxifen dose escalation led to an increase in endoxifen serum levels and a new 13C-Dextromethorphan breath test was used for phenotyping CYP2D6, which correlated well with CYP2D6 genotype and endoxifen levels. Finally, the CYP2D6 phenotype and endoxifen serum levels are currently prospectively related to breast cancer recurrence. This may lead to therapeutic drug monitoring and selection of patients who benefit most from tamoxifen. Show less
Dezentje, V.O.; Schaik, R.H.N. van; Vletter-Bogaartz, J.M.; Straaten, T. van der; Wessels, J.A.M.; Kranenbarg, E.M.K.; ... ; Guchelaar, H.J. 2013
