Pharmacogenetics and pharmacogenomics of endocrine agents for breast cancer

Introduction

The clinician caring for women with early breast cancer is keenly aware of the variability observed when endocrine therapy with tamoxifen or the aromatase inhibitors (AIs) is employed. This is seen in outcomes of the disease in terms of recurrence but also, strikingly in some cases, in terms of adverse events. This can be seen in the case of AIs, in which some women develop disabling musculoskeletal events that result in their discontinuing therapy, whereas the majority develops no such adverse events. The same is true of other adverse events such as deep venous thrombosis, endometrial cancer and hot flashes in the case of tamoxifen. In the past, the focus in selection of therapy for women with breast cancer has been almost exclusively on the characteristics of the tumour (for example, oestrogen receptor [ER] and human epidermal growth factor receptor [HER]-2), with essentially no attention given to the genetic make-up of the patient.

Pharmacogenetics and pharmacogenomics involve the study of the role played by inheritance in individual variation in drug response phenotypes such as disease outcomes and end organ effects, including adverse events. These terms are often used interchangeably but, strictly speaking, pharmacogenetics refers to the study of a gene or a number of genes, such as those involved with a pathway, whereas pharmacogenomics involves the entire genome. We have truly entered the era of pharmacogenomics with the introduction of genome-wide association studies (GWASs). Pharmacogenetics/pharmacogenomics have the clinical goals of better selecting responsive patients, maximizing drug efficacy and minimizing adverse reactions. Pharmacokinetics considers factors such as metabolism and transport that influence drug concentrations at the target(s), whereas pharmacodynamics considers factors that influence the response of the target(s), for example receptors, enzymes, transporters and downstream signalling molecules, to the drug.

Endocrine therapy represents the most important therapeutic modality for those women whose tumours are potentially endocrine sensitive, as indicated by expression of the ER and/or progesterone receptor. The selective ER modulator tamoxifen has been the most important therapeutic agent in breast cancer for the past three decades. Tamoxifen has received approval from the US Food and Drug Administration for the full spectrum of breast cancer from metastatic disease to those women who are at higher risk for developing breast cancer. In addition, tamoxifen has received approval for treatment of men with metastatic breast cancer and is commonly used in the adjuvant setting. During the past decade the third generation AIs anastrozole, exemestane and letrozole have emerged as important additions to the clinician's armamentarium against breast cancer. They appear to be more efficacious than tamoxifen in the advanced disease setting [1], have become clearly established in the adjuvant setting [2] and are a major focus of ongoing trials in the prevention setting in postmenopausal women [3]. Tamoxifen and the AIs have recently become foci of intense pharmacogenetic/pharmacogenomic research [4].

Tamoxifen

Interpatient variability exists in response to tamoxifen. The accepted dose of tamoxifen is 20 mg/day, but there is substantial variability with respect to levels of tamoxifen and its metabolites. We examined steady-state levels of tamoxifen and two of its major metabolites, namely 4-hydroxy-tamoxifen (4HT) and N-desmethyl-tamoxifen, and found substantial interpatient variability for all three; for instance, the median level for tamoxifen after 6 weeks of therapy was 107 ng/ml, with a range from 24 to 317 ng/ml [5]. These data raise the question of whether one dose of tamoxifen 'fits' all patients. In addition, there is variability in tolerance of this drug, with differences in hot flashes, thromboembolic phenomena and endometrial cancers as examples. Compliance with tamoxifen has become increasingly recognized as an important issue, and a recent report [6] revealed that 49% discontinued tamoxifen before the completion of 5 years. This poor compliance is of concern because nonadherent patients lose the therapeutic potential of this important drug.

For several decades, the tamoxifen metabolite 4HT has been considered to be the important metabolite from a therapeutic standpoint. Desta and coworkers [7] conducted a comprehensive examination of tamoxifen and found that the major primary metabolite of tamoxifen is N-desmethyl-tamoxifen, in a reaction catalyzed by cytochrome P450 (CYP)3A4/5, whereas 4HT constitutes a minor metabolite, with this reaction catalyzed by several CYP enzymes, including CYP2D6. Importantly, N-desmethyl-tamoxifen is converted to 4-hydroxy-N-desmethyl-tamoxifen (endoxifen) by CYP2D6. Endoxifen has been shown to have the same binding affinity for ER-α as 4HT [6] and to be equipotent to 4HT in terms of inhibiting oestrogen-stimulated growth in ER-positive breast cancer cell lines [8, 9]. However, endoxifen is normally present in substantially higher concentrations, up to 10 times greater, than 4HT in women taking the standard dose of tamoxifen [10]. CYP2D6 is a highly polymorphic gene, with alleles with normal activity, decreased activity or no activity, and some cases of increased activity due to gene duplication [11]. Endoxifen levels were found to be low in those patients who had low activity CYP2D6 genotypes and/or were receiving CYP2D6 inhibitors [12, 13].

Goetz and colleagues [14] were the first to identify an association between outcomes and CYP2D6 genotype in patients receiving tamoxifen monotherapy for 5 years. This retrospective study was performed in a well defined population of postmenopausal women with early-stage breast cancers whose tumours were known to be ER positive and who had been enrolled on a prospective clinical trial that had a median follow-up of 11.4 years [15]. Despite the relatively small sample size (223 patients) and the inclusion of only the *4 genotype, which underestimates the frequency of decreased activity, the women homozygous for the *4 genotype (*4/*4) had a worse relapse-free time and disease-free survival compared with those women without this variant allele or who carried only one (a heterozygous state [*4/wild type]). Although these differences were significant in univariate analyses, significance was lost in multivariate testing.

Goetz and colleagues [16] went on to collect information on these patients relating to the concurrent use of medications (selective serotonin reuptake inhibitors and the serotonin and norepinephrine reuptake inhibitors) that have been shown to inhibit CYP2D6 function [10, 12, 13]. When the genotype and presence or absence of the CYP2D6 inhibitor were utilized to determine a metabolizer phenotype, it was found in a multivariate analysis that patients with decreased metabolism had a significantly shorter time to recurrence and worse relapse-free survival. Since these initial reports, four additional studies have been reported that demonstrate an association between CYP2D6 status and outcomes in women receiving tamoxifen adjuvant therapy for early breast cancer. These include studies from Germany [17], Japan [18], the UK [19] and China [20].

Two groups had not identified CYP2D6 to have value in predicting outcomes in women treated with tamoxifen [21–23]. Despite the weight of evidence shifting in support of a positive value for CYP2D6 testing, the existence of conflicting data has led to the establishment of the International Tamoxifen Pharmacogenomics Consortium to collect and analyze the worldwide experience. The Consortium data center is PharmGKB (the Pharmacogenetics and Pharmacogenomics Knowledge Base) located at Stanford University in the USA [24]. This initiative is considered important in resolving the important question of whether simple genotyping for CYP2D6 can provide clinically useful information regarding the utilization of this commonly employed endocrine agent.

The fact that five studies have shown value for CYP2D6 is remarkable, given the complexity of tamoxifen's metabolism. This metabolic complexity plus the multiple phase II enzymes involved in glucuronidation and sulphate conjugation raises the distinct possibility that additional genotypes will be identified that could constitute a predictive panel that would be of value in clinical decision making.

Aromatase inhibitors

The third-generation AIs anastrozole, exemestane and letrozole have found widespread use in breast cancer. An American Society of Clinical Oncology technology assessment panel on AIs has concluded that optimal adjuvant therapy for postmenopausal women with receptor positive breast cancer includes an AI either as initial therapy or after treatment with tamoxifen [25].

Considering the AI anastrozole, Partridge and coworkers [26] examined adherence (defined as the proportion of days patients had medications available over an observation period) to this agent when given as adjuvant therapy for early breast cancer. Patients with fewer than 80% of days were considered nonadherent. This study of three health care plans involved more than 12,000 patients. The mean adherence ranged from 82% to 88% in year 1 and decreased to 625 to 79% in year 3. Thus, a substantial proportion of women were suboptimally adherent to anastrozole therapy.

The variability in clinical tolerance to AIs raises the possibility that genetic variability in patients plays a role. Research into pharmacogenetic differences with the AIs is at an earlier stage than with tamoxifen. However, Ma and colleagues [27] sequenced the aromatase gene in 60 patients from each of four ethnic groups (Caucasian-Americans, African-Americans, Han Chinese-Americans and Mexican-Americans) and identified 88 polymorphisms resulting in 44 haplotypes.

Functional genomic studies were performed with four non-synonymous coding single nucleotide polymorphisms that were identified and a significant correlation between level of activity and immunoreactive protein was found. Three of the four coding single nucleotide polymorphisms had levels of immunoreactive protein that was significantly lower than wild-type aromatase enzyme. It is possible that patients with decreased aromatase activity would have decreased potential to benefit from the use of an AI. The findings of substantial genetic variability in the aromatase gene within ethnic groups and substantial variation between the four ethnic groups provide a strong impetus to explore pharmacogenetics of AIs.

The era of pharmacogenomics of AIs has begun with the development of a study to perform a GWAS in women developing musculoskeletal events in a large clinical trial evaluating AIs. This study is a part of a Global Alliance for Pharmacogenomics between the US National Institutes of Health Pharmacogenetics Research Network and the RIKEN Center for Genomic Medicine in Japan [28], and involves the Mayo Pharmacogenetics Research Network, the National Cancer Institute of Canada Clinical Trials Group and RIKEN. Whereas the initial studies will involve an evaluation of adverse events, future studies are envisioned that will examine breast cancer events.

Conclusion

The field of pharmacogenetics is at an early stage in the endocrine therapy of breast cancer. The information that has emerged with CYP2D6 appears to offer the potential to fulfill the clinical goal of better selecting patients for whom tamoxifen should be employed, but further validation is needed before widespread acceptance. Pharmacogenetics/genomics are at an earlier stage with the AIs. The era of pharmacogenomics has been entered with the availability of GWASs. It is anticipated that results will become available for both tamoxifen and the AIs over the next several years. Compliance with a drug is obviously multifactorial and includes adverse events as only one factor. However, compliance is a crucial consideration, because noncompliance with both tamoxifen and AIs carries with it the loss of potential for benefit from therapy. In endocrine therapy of breast cancer, pharmacogenetics/pharmacogenomics offer the potential of identifying the right drug at the right dose for the right patient.