Contribution of ABCB1 and CYP2D6 Genotypes to the Outcome of Tamoxifen Adjuvant Treatment in Premenopausal Women With Breast Cancer

Predicting disruptions to drug pharmacokinetics and the risk of adverse drug reactions in non-alcoholic steatohepatitis patients

The liver plays a central role in the pharmacokinetics of drugs through drug metabolizing enzymes and transporters. Non-alcoholic steatohepatitis (NASH) causes disease-specific alterations to the absorption, distribution, metabolism, and excretion (ADME) processes, including a decrease in protein expression of basolateral uptake transporters, an increase in efflux transporters, and modifications to enzyme activity. This can result in increased drug exposure and adverse drug reactions (ADRs). Our goal was to predict drugs that pose increased risks for ADRs in NASH patients. Bibliographic research identified 71 drugs with reported ADRs in patients with liver disease, mainly non-alcoholic fatty liver disease (NAFLD), 54 of which are known substrates of transporters and/or metabolizing enzymes. Since NASH is the progressive form of NAFLD but is most frequently undiagnosed, we identified other drugs at risk based on NASH-specific alterations to ADME processes. Here, we present another list of 71 drugs at risk of pharmacokinetic disruption in NASH, based on their transport and/or metabolism processes. It encompasses drugs from various pharmacological classes for which ADRs may occur when used in NASH patients, especially when eliminated through multiple pathways altered by the disease. Therefore, these results may inform clinicians regarding the selection of drugs for use in NASH patients.

Association between polymorphisms of ABCB1 and prognosis in esophageal squamous cell carcinoma patients treated with taxane

In China, most esophageal cancer patients are squamous cell carcinomas and treated with taxane-containing regimens; however, few studies have examined taxane pharmacokinetics genes and esophageal squamous cell carcinoma (ESCC) prognosis. A total of 227 pathologically confirmed ESCC patients receiving chemotherapy with taxane were included in the analysis. We genotyped seven SNPs-rs1045642, rs2032582, and rs3213619 of ABCB1; rs2231137 and rs2231142 of ABCG2; and ABCC1 rs246221 and ABCC2 rs3740066-and analyzed their relationship with overall survival. With a retrospective cohort study design, by Cox regression and semi-Bayesian shrinkage, in the genetic recessive model, the variant homozygote of ABCB1 rs1045642 was inversely associated with survival (semi-Bayesian shrinkage cHR=1.82, 95% CI=1.00, 3.31; p=0.0482). Due to inherent defects of the research itself, the finding that the ABCB1 rs1045642 variant was related to poor prognosis in ESCC patients treated with taxane-containing regimens needs to be tested in a larger population and by more genetic and molecular mechanism experiments.

Association between genetic polymorphisms in cytochrome P450 enzymes and survivals in women with breast cancer receiving adjuvant endocrine therapy: a systematic review and meta-analysis

Tamoxifen is commonly prescribed for preventing recurrence in patients with breast cancer. However, the responses of the patients on tamoxifen treatment are variable. Cytochrome P450 genetic variants have been reported to have a significant impact on the clinical outcomes of tamoxifen treatment but no tangible conclusion can be made up till now. The present review attempts to provide a comprehensive review on the associative relationship between genetic polymorphisms in cytochrome P450 enzymes and survival in breast cancer patients on adjuvant tamoxifen therapy. The literature search was conducted using five databases, resulting in the inclusion of 58 studies in the review. An appraisal of the reporting quality of the included studies was conducted using the assessment tool from the Effective Public Health Practice Project (EPHPP). Meta-analyses were performed on CYP2D6 studies using Review Manager 5.3 software. For other studies, descriptive analyses were performed. The results of meta-analyses demonstrated that shorter overall survival, disease-free survival and relapse-free survival were found in the patients with decreased metabolisers when compared to normal metabolisers. The findings also showed that varying and conflicting results were reported by the included studies. The possible explanations for the variable results are discussed in this review.

Molecular markers associated with the outcome of tamoxifen treatment in estrogen receptor-positive breast cancer patients: scoping review and in silico analysis

Tamoxifen (TMX) is used as adjuvant therapy for estrogen receptor-positive (ER+) breast cancer cases due to its affinity and inhibitory effects. However, about 30% of cases show drug resistance, resulting in recurrence and metastasis, the leading causes of death. A literature review can help to elucidate the main cellular processes involved in TMX resistance. A scoping review was performed to find clinical studies investigating the association of expression of molecular markers profiles with long-term outcomes in ER+ patients treated with TMX. In silico analysis was performed to assess the interrelationship among the selected markers, evaluating the joint involvement with the biological processes. Forty-five studies were selected according to the inclusion and exclusion criteria. After clustering and gene ontology analysis, 23 molecular markers were significantly associated, forming three clusters of strong correlation with cell cycle regulation, signal transduction of proliferative stimuli, and hormone response involved in morphogenesis and differentiation of mammary gland. Also, it was found that overexpression of markers in selected clusters is a significant indicator of poor overall survival. The proposed review offered a better understanding of independent data from the literature, revealing an integrative network of markers involved in cellular processes that could modulate the response of TMX. Analysis of these mechanisms and their molecular components could improve the effectiveness of TMX.

Recent advances in the personalized treatment of estrogen receptor-positive breast cancer with tamoxifen: a focus on pharmacogenomics

Introduction: Tamoxifen is still an important drug in hormone-dependent breast cancer therapy. Personalization of its clinical use beyond hormone receptor positivity could improve the substantial variability of the treatment response.Areas covered: The overview of the current evidence for the treatment personalization using therapeutic drug monitoring, or using genetic biomarkers including CYP2D6 is provided. Although many studies focused on the PK aspects or the impact of CYP2D6 variability the translation into clinical routine is not clearly defined due to the inconsistent clinical outcome data.Expert opinion: We believe that at least the main candidate factors, i.e. CYP2D6 polymorphism, CYP2D6 inhibition, endoxifen serum levels may become important predictors of clinical relevance for tamoxifen treatment personalization in the future. To achieve this aim, however, further research should take into consideration more precise characterization of the disease, epigenetic factors and also utilize an appropriately powered multifactorial approach instead of a single gene evaluating studies.

Impact of variants in ATP-binding cassette transporters on breast cancer treatment

There has been substantial interest in the impact of ATP-binding cassette (ABC) transporter variability on breast cancer drug resistance. Here, we provide a systematic review of ABC variants in breast cancer therapy. Notably, most studies used small heterogeneous cohorts and their identified associations lack statistical stringency, replication and mechanistic support. We conclude that commonly studied ABC polymorphisms are not suitable to accurately predict therapy response or toxicity in breast cancer patients and cannot guide treatment decisions. However, recent research shows that ABC transporters harbor a plethora of rare variants with individually small effect sizes, and we argue that a shift in strategy from target variant interrogation to comprehensive profiling might hold promise to drastically improve the predictive power of outcome models.

Association of a genetic variant in ATP-binding cassette sub-family B member 1 gene with poor prognosis in patients with squamous cell carcinoma of the esophagus

Esophageal cancer is a common cause of death from cancer in men and the eighth most prevalent cancer globally. The morbidity and mortality rates are four times higher in men than in women. Genetic factors are among the susceptibility factors for squamous cell carcinoma of the esophagus. The rs2032582 polymorphism is a triallelic missense variant of the ABCB1 gene, that has been reported to be associated with several cancers. Here we have explored the association of the ABCB1 rs2032582 polymorphism with esophageal squamous cell carcinoma (ESCC) for the first time in a total of 251 subjects, with and without ESCC. Data from patient's record were obtained from the Mashhad University of Medical Sciences, and were used to recruit ESCC patients into the study. A total of 89 ESCC patients and 162 healthy controls were included. DNAs were extracted and genotyped using a TaqMan real-time PCR-based method. Caplan Meier method was applied to analyze patients overall survival, and progression-free survival and log-rank were used in order to compare the results. Logistic regression was used to calculate the association between risk of ESCC and different genotypes. Our data showed that patients with ESCC had a higher frequency of a T/A (TT/TA/AA) genotype for rs2032592 than individuals with GG-genotype. There were no associations between BMI and genotypic frequencies. Furthermore patients with TT/TA/AA genotypes had a poorer disease-free survival (P = 0.016) in comparison with GG genotype. We found a significant association of the ABCB1 rs2032582 polymorphism with prognosis, although further studies in a larger and multicenter setting are needed to value these findings. © 2019 IUBMB Life, 71(9):1252-1258, 2019.

The Underrated Risks of Tamoxifen Drug Interactions

Tamoxifen is a prodrug, and most of the therapeutic effect in treating breast cancer stems from its metabolite, endoxifen. Since cytochrome P450 (CYP) 2D6 is the most important enzyme in the production of endoxifen, drugs that inhibit CYP2D6 would be expected to reduce tamoxifen efficacy. In addition to drug–drug interactions (DDI) involving CYP2D6, there is growing evidence that enzyme inducers can substantially alter the disposition of endoxifen, reducing tamoxifen efficacy. Although the clinical evidence on the impact of CYP2D6 inhibitors on tamoxifen efficacy is mixed, there were serious flaws in many of the studies. Thus, there is a reasonable chance that CYP2D6 inhibitors do in fact inhibit tamoxifen efficacy. Tamoxifen has extraordinarily complex pharmacokinetics, with more than a dozen drug-metabolizing enzymes and transporters involved in its disposition. Enzyme inducers may increase the activity of several of these pathways, including phase II enzymes, ABC transporters, and various CYP enzymes other than CYP2D6. Based on current clinical evidence, one could argue that enzyme inducers are potentially more dangerous than CYP2D6 inhibitors in patients taking tamoxifen. Moreover, early evidence suggests that the combination of CYP2D6 inhibitors plus enzyme inducers may produce catastrophic inhibition of tamoxifen efficacy. One could argue that, given the available evidence, an agnostic “wait and see” position on tamoxifen DDI is ethically untenable, and that many women with breast cancer are currently being subjected to an unnecessary risk of cancer recurrence. Specific recommendations to reduce the risk of adverse tamoxifen DDI are offered for consideration.

Effect of OATP1B1 genetic polymorphism on the uptake of tamoxifen and its metabolite, endoxifen

Overexpression lentivirus platform was established of OATP1B1 (organic anion transporting polypeptides 1B1) wild‑type and mutant type genetic polymorphism in vitro, and using this platform we investigated and compared the uptake of tamoxifen and its metabolites by mutating the 388 and the 521 bases. The overexpression lentivirus cell platforms were successfully constructed, including OATP1B1*1a-HEK293T and OATP1B1*1b-HEK293T and OATP1B1*5-HEK293T cell model, the infection efficiency is not less than 80%. It shows a high level of gene expression at the mRNA and protein level. The tamoxifen and endoxifen can be taken up into the cells through organic anion transporter polypeptide 1B1, and OATP1B1521T>C inhibits the function of the transport protein, resulting in the content of drug in cell lysis liquid in OATP1B1*5-HEK293T group is lower than in OATP1B1*1a-HEK293T group (tamoxifen or endoxifen), with statistical significance. The content of the drug in cell lysis liquid in OATP1B1*1b-HEK293T group and the OATP1B1*1a-HEK293T group, similar with no statistical significance. These results suggest that tamoxifen and endoxifen can be transported by OATP1B1. However, OATP1B1 521T>C can inhibit the effects of OATP1B1 on tamoxifen and endoxifen in the cells.

Multigene and Drug Interaction Approach for Tamoxifen Metabolite Patterns Reveals Possible Involvement of CYP2C9, CYP2C19, and ABCB1

Tamoxifen is metabolically activated to 4-hydroxytamoxifen and endoxifen by cytochrome P450 (CYP). CYP phenotypes have been correlated to tamoxifen outcomes, but few have considered drug interactions or combinations of genes. Fewer still have considered ABCB1, which encodes P-glycoprotein and transports active tamoxifen metabolites. We compared the concentrations of tamoxifen and metabolites in 116 breast cancer patients with predicted phenotypes for CYP2D6, CYP3A4, CYP3A5, CYP2C9, CYP2C19, and ABCB1 genotypes. A significant correlation between CYP2D6 phenotypes and tamoxifen metabolites was seen, strongest for endoxifen (P < .0001). Statistical fit of the data improved when using gene activity scores adjusted for known drug interactions. Concentration of tamoxifen was significantly higher (P = .02) for patients taking a CYP2C19 inhibitor. No significant relationships were found for other genes unless patients were subgrouped according to CYP2D6 phenotypes or ABCB1 genotypes. Lower concentrations of endoxifen and endoxifen/4-hydroxytamoxifen ratios were seen with impaired CYP2C9 (P = .05 and P = .03, respectively) if patients had the same CYP2D6 phenotype and were not taking a CYP2D6 or CYP2C19 inhibitor. Lower concentrations of 4-hydroxytamoxifen were seen for impaired CYP2C19 when ABCB1 SNP3435 was nonvariant (P = .04). With 3 impaired CYP phenotypes, endoxifen concentrations were lower than if only CYP2D6 was impaired (P = .05). When CYP2D6 was impaired, ABCB1 3435 CC (rs1045642) was associated with significantly higher endoxifen (P = .03). Thus, impairment in CYP2C9, CYP2C19, or ABCB1 contributes to a lower steady-state endoxifen concentration at the dose studied. These studies represent an improved way of examining relationships between pharmacogenetics, drug concentrations, and clinical outcomes and warrants study in larger populations.