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A Model Citizen? Is Tamoxifen More Effective Than Aromatase Inhibitors if We Pick the Right Patients?

Year: 2008

Type: article

Abstract: After decades of empiricism, the treatment of cancer is widely felt to be entering the era of “targeted” therapy and leading to personalized strategies for individuals with this dreaded disease. Of course, the approach to targeted therapy in oncology is not a new one. Students of breast cancer history point to Sir George Beatson's report in 1896 of the clinical improvement he observed in three young women with locally advanced breast cancer following surgical oophorectomy ( 1 ). Subsequent landmark studies by Jensen, Lippman, and McGuire, among others, demonstrated that what Beatson had actually done was remove a specific growth factor, 17β-estradiol, from its cellular target, the estrogen receptor (ER) ( 2–4 ). Clinicians now routinely use tissue ER content to individualize antiestrogen therapy for breast cancer patients ( 5 ). This example of personalized medicine is now joined by many others ( 6 , 7 ). Until recently, personalized oncologic care has been based on somatic changes in the cancer, such as the overexpression of ER or HER2/neu. However, tumor-related somatic changes may be only one side of the coin that clinicians might use to make therapeutic decisions. The other side of the coin involves the use of inherited germline differences between individual patients to predict cancer outcomes and toxic effects of specific therapies, a field that has been designated “pharmacogenetics” ( 8 , 9 ). Several studies [reviewed in (8,9)] have illustrated the clinical potential of determining inherited single nucleotide polymorphisms in genes that encode drug targets, transporters, and metabolizing enzymes. The latter group includes enzymes that convert the therapeutic agent to an inactive and excretable metabolite or, in some cases, that activate a prodrug to an active metabolite ( 8 , 9 ). The selective ER modulator tamoxifen is considered by many experts to be one such prodrug. For example, in vitro experiments have demonstrated that tamoxifen has relatively low affinity for the ER compared with its 4-hydroxylated metabolite or estrogen itself ( 10 ). In addition, the concentration of tamoxifen required to inhibit the growth of estrogen-dependent breast cancer cells in culture is approximately two orders of magnitude higher than that of 4-hydroxy-tamoxifen ( 11 ). Together, these results supported the long-held theory that the 4-hydroxy derivative of tamoxifen is the active metabolic product of tamoxifen ( 12 ). Most of the many other tamoxifen metabolites that have been identified had been considered to be irrelevant, mainly because they are present in serum at much lower concentrations than tamoxifen. However, recent data ( 13 ) from investigators in the Consortium on Breast Cancer Pharmacogenomics (COBRA) have led to the rediscovery and renewed interest in one of these metabolites, 4-hydroxy- N -desmethyl-tamoxifen, previously designated metabolite BX. This metabolite (now known as endoxifen) has the same binding affinity for ER and antiproliferative effect on cultured human breast cancer cells as 4-hydroxy-tamoxifen but is present at 5- to 10-fold higher concentrations in the serum of most women taking tamoxifen ( 13 ). Endoxifen is generated from tamoxifen by the enzymatic activity of the product of a P450 gene, cytochrome 2D6 ( CYP2D6 ) ( 14 ). Although 60% of individuals of European descent are homozygous for the active allele of CYP2D6 (ie, the *1 allele, designated “wild type”), approximately 7% are homozygous for an inactive allele ( *4 is the most common variant allele among individuals of European descent, whereas *10 is the most common allele among those of Asian descent) ( 15 ). Individuals who are homozygous for these variant CYP2D6 alleles are poor metabolizers of substrates for the enzyme. Studies by COBRA investigators have shown that among women who take tamoxifen, those who are homozygous for inactive CYP2D6 alleles have substantially lower endoxifen levels than those who are homozygous for the wild-type allele ( 14 , 16 ). Furthermore, certain concomitant medications that partially or completely block the activity of the CYP2D6 enzyme likewise result in very low serum concentrations of endoxifen ( 17 ). What are the clinical implications of these findings? COBRA investigators have previously demonstrated 100% concordance of CYP2D6 genotyping results between germline DNA from leukocytes and DNA extracted from formalin-fixed, paraffin-embedded (FFPE) cancer tissue ( 18 ). This technological breakthrough permits interrogation of older clinical datasets in which FFPE cancer tissue specimens were collected and archived but germline DNA (ie, from leukocytes) was not. In a joint collaboration, investigators from the Mayo Clinic and COBRA retrospectively examined ( 19 ) FFPE tumor samples from a small, but prospectively conducted trial in which women with ER-positive breast cancers were randomly assigned to receive 5 years of tamoxifen with or without 1 year of fluoxymesterone ( 20 ). In this study, women with homozygous variant CYP2D6 who received adjuvant tamoxifen alone had higher rates of recurrence than those with the wild-type genotype, and the authors concluded that perhaps this poorer outcome was a result of poor conversion of tamoxifen to endoxifen. This effect was echoed by the use of CYP2D6 inhibitors in women who were wild type for CYP2D6 ( 21 ). Several subsequent investigations have addressed the interaction between CYP2D6 genotype and outcomes in women who were treated with tamoxifen in the prevention ( 22 ), adjuvant ( 23–27 ), and metastatic ( 28 ) settings. The results of two of the adjuvant studies ( 26 , 27 ), as well as the metastatic trial ( 28 ) and the prevention study ( 22 ), are consistent with the hypothesis that women with variant CYP2D6 genotype do not activate tamoxifen and therefore have worse outcomes. However, the other three adjuvant studies ( 22–24 ) failed to support this theory, and remarkably, two studies ( 24 , 25 ) provided statistically significant evidence of exactly the opposite effect: that women with homozygous CYP2D6 variants have better outcomes than those who are wild type when treated with tamoxifen. Although disconcerting, these disparate conclusions are not unexpected when one considers that these studies are small and mostly retrospective and that they address different treatment settings and are confounded by different doses and durations of tamoxifen therapy, patient selection, and the effects of other drugs and tumor-related somatic changes, all of which may affect the activity of tamoxifen. Because metabolism of tamoxifen is quite complex, it is also likely that inactivating CYP2D6 alleles other than *4 , and indeed germline differences in completely different genes, each of which have been only superficially examined, may also play a role in the activity of this agent ( 23–25 ). One must ask if these pharmacogenetic findings for tamoxifen are relevant today for women with ER-positive breast cancer. Even if poor metabolizers do have a worse prognosis when treated with tamoxifen monotherapy, we must consider whether this agent has become a clinically irrelevant historical bookmark. Several studies ( 29–33 ) have now shown that for postmenopausal women with ER-positive breast cancer, estrogen depletion with an aromatase inhibitor is generally more effective than tamoxifen in both the adjuvant and metastatic settings. A panel convened by the American Society of Clinical Oncology has recommended the use of an aromatase inhibitor at some time in the course of treatment for all postmenopausal women with ER-positive breast cancer ( 34 ). However, despite this enthusiastic endorsement, aromatase inhibitors are not ideal for all women because they are associated with substantially more common and often more severe musculoskeletal complaints that often lead to nonadherence ( 35 , 36 ), as well as with higher long-term risks for osteoporosis and fractures ( 30 , 37 , 38 ). Moreover, because aromatase inhibitors are contraindicated in premenopausal women, tamoxifen is currently the treatment of choice for these patients. Tamoxifen and the related selective ER modulator raloxifene are approved for chemoprevention, whereas aromatase inhibitors are not. Finally, tamoxifen is also effective in the metastatic setting, and as more women receive adjuvant aromatase inhibitor therapy, those who do relapse will be treated with tamoxifen. Therefore, in the foreseeable future, most premenopausal women and many postmenopausal women at risk for or with ER-positive breast cancer may consider tamoxifen at some point in their treatment. In this issue of the Journal, Punglia et al. ( 39 ) have used assumptions drawn from the Mayo–COBRA study ( 19 , 21 ) to build a model to estimate whether women with wild-type CYP2D6 might have superior outcomes if they take tamoxifen rather than an aromatase inhibitor. Applying this model to results produced from the Breast International Group 1-98 trial, one of the large prospective randomized clinical trials to compare tamoxifen with the aromatase inhibitor letrozole ( 30 ), they conclude that women who have the wild-type CYP2D6 genotype would actually have lower rates of relapse when treated with tamoxifen. If this model is correct, the role of CYP2D6 genotype testing would be critical for selecting the optimal adjuvant endocrine treatment for women with ER-positive breast cancer because it implies that more than 90% of women (those who are wild type for CYP2D6 ) would actually have better outcomes if they received tamoxifen instead of an aromatase inhibitor and that those who are homozygous for inactivating variant alleles should take an aromatase inhibitor. Is this model applicable to the real world, and should CYP2D6 genotype testing be incorporated into routine care at this time? The conclusions reached by Punglia et al. ( 39 ) depend on the estimated hazard rates for recurrence for women taking tamoxifen and are based on the relative effects of CYP2D6-mediated conversion of tamoxifen to endoxifen. These estimated hazard rates were based on data from the single study from the Mayo–COBRA collaboration ( 19 ) and ignore the considerable heterogeneity of outcomes of tamoxifen-treated women when analyzed by the effects of CYP2D6 genotypes reported in the numerous other studies, discussed above. Because of this uncertainty, and despite the Punglia et al. model, we do not recommend routine CYP2D6 genotyping for all patients who are considering tamoxifen, although we recognize that there are already selected circumstances in which such knowledge might be helpful. At the least, however, women who are taking tamoxifen should avoid the concomitant use of drugs that inhibit CYP2D6 activity if possible. Ironically, some of the most potent inhibitors of CYP2D6 are the selective serotonin uptake inhibitors and the selective serotonin norepinephrine inhibitors (SSNRIs), which are frequently used for treatment of hot flashes ( 40 ). Examples of these inhibitors include paroxetine and fluoxetine. However, other SSNRIs, such as venlafaxine, do not inhibit CYP2D6 yet are quite effective for treatment of hot flashes, and as such would be the preferred treatment for these patients ( 17 , 41 ). Regardless, we believe that these studies have brought the field of pharmacogenetics onto the radar screen of clinicians caring for breast cancer patients. The model reported by Punglia et al. ( 39 ) suggests that selection of endocrine therapy based on CYP2D6 genotype might make tamoxifen more than just another choice, but actually the preferred choice, for women with ER-positive breast cancer who are wild type for the CYP2D6 gene. However, as with all tumor marker research, early studies are often quite positive, and rigorous validation of these results is critical before widespread adoption ( 42 , 43 ). Ongoing and planned studies of archived FFPE specimens from the large randomized trials that have compared tamoxifen with an aromatase inhibitor should provide definitive experimental data regarding inherited differences in CYP2D6 and other genes that should confirm or refute the hypothesis that CYP2D6 genotype might be used to effectively guide endocrine therapy for women with ER-positive breast cancer. The future of personalized cancer medicine will likely use both sides of the coin by incorporating both tumor-related somatic changes and inherited germline pharmacogenetic factors to predict the best course of treatment for a specific patient. Alone, each may have limited value, but the whole is likely to be greater than the sum of the parts. These exciting findings highlight the importance of prospective collection, processing, and storage of biospecimens for future studies of yet-undiscovered somatic and germline markers to permit studies of individualized treatments. Increasingly, biologic subgroup analyses from large clinical trials have become as or more interesting than the overall results. We encourage all investigators, both public and private, to be certain that tissue and germline (leukocytes or buccal swabs) specimens are collected and made available for such translational research ( 44 ). Pharmacogenetics Research Network (U-01 GM61373 to D.F.); the Fashion Footwear Charitable Foundation of New York/QVC Presents Shoes on Sale to D.F.H.

Source: JNCI Journal of the National Cancer Institute

DOI: 10.1093/jnci/djn127

Authors: D. F. Hayes, V. Stearns, J. Rae, D. Flockhart