Skip to main content

Pharmacogenomics of Endocrine Therapy in Breast Cancer

  • Chapter

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 630))

Abstract

The treatment of breast cancer with selective estrogen receptor modulators such as tamoxifen and with aromatase inhibitors represents a major advance in cancer chemotherapy. However, there are large variations among patients in both the therapeutic efficacy and side effects of these drugs. Pharmacogenomics is the study of the role of inheritance in this variation and genetic variation in tamoxifen response represents one of the most striking examples of the potential clinical importance of pharmacogenomics. Tamoxifen requires “metabolic activation” catalyzed by cytochrome P450 2D6 (CYP2D6) to form hydroxylated metabolites—4-hydroxytamoxifen and endoxifen (N-desmethyl-4-hydroxytamoxifen)—both of which are much more potent than is the parent drug. However, CYP2D6 is genetically polymorphic. Approximately 5–8% of Caucasian subjects are CYP2D6 “poor metabolizers” on a genetic basis and, as a result, are relatively unable to catalyze tamoxifen hydroxylation. These same subjects appear to have poorer outcomes when treated with tamoxifen than do CYP2D6 “extensive metabolizers”. These data led the US Food and Drug Administration (FDA) to hold public hearings in 2006 on the inclusion of this pharmacogenomic information in tamoxifen labeling. However, a series of important questions still remains to be addressed with regard to tamoxifen pharmacogenomics. There have also been preliminary attempts to study the pharmacogenomics of aromatase inhibitors, including the application of a genotype-to-phenotype research strategy designed to explore the nature and extent of common DNA sequence variation in the CYP19 gene that encodes aromatase. Those results—together with our current level of understanding of tamoxifen pharmacogenomics—will be reviewed in this chapter and both will be placed within the context of the overall development of pharmacogenomics.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Weinshilboum RM, Wang L. Pharmacogenetics and pharmacogenomics: development, science and translation. Annu Rev Genomics Hum Genet 2006; 7:223–245.

    Article  CAS  PubMed  Google Scholar 

  2. Hayes DF. Why endocrine therapy? In: Miller WR, Ingle JN, eds. Endocrine Therapy in Breast Cancer. New York: Marcel Dekker, Inc.; 2002:3–14.

    Google Scholar 

  3. Weinshilboum RM. The therapeutic revolution. Clin Pharmacol Ther 1987; 42:481–484.

    CAS  PubMed  Google Scholar 

  4. Venter JC, Adams MD, Myers EW et al. The sequence of the human genome. Science 2001; 291:1304–1351 [Erratum, Science 2001; 1292:1838].

    Article  CAS  PubMed  Google Scholar 

  5. Lander ES, Linton LM, Birren B et al. Initial sequencing and analysis of the human genome. Nature 2001; 409:860–921 [Errata, Nature 2001; 2411:2720, 2412:2565].

    Article  CAS  PubMed  Google Scholar 

  6. Weinshilboum R. Inheritance and drug response. New Engl J Med 2003; 348:529–537.

    Article  PubMed  Google Scholar 

  7. Stearns V, Johnson MD, Rae JM et al. Active tamoxifen metabolite plasma concentrations after coadministration of tamoxifen and the selective serotonin reuptake inhibitor paroxetine. J Natl Cancer Inst 2003; 85(23):1758–1764.

    Google Scholar 

  8. Loprinzi CL, Kugler JW, Sloan JA et al. Venlafaxine in management of hot flashes in survivors of breast cancer: a randomised controlled trial. Lancet 2000; 356(9257):2059–2063.

    Article  CAS  PubMed  Google Scholar 

  9. Loprinzi CL, Sloan JA, Perez EA et al. Phase III evaluation of luoxetine for treatment of hot flashes. J Clin Oncol 2002; 20(6):1578–1583.

    Article  CAS  PubMed  Google Scholar 

  10. Stearns V, Beebe KL, Iyengar M et al. Paroxetine controlled release in the treatment of menopausal hot flashes: a randomized controlled trial. JAMA 2003; 289(21):2827–2834.

    Article  CAS  PubMed  Google Scholar 

  11. Johnson MD, Zuo H, Lee KH et al. Pharmacological characterization of 4-hydroxy-N-desmethyl tamoxifen, a novel active metabolite of tamoxifen. Breast Cancer Res Treat 2004; 85(2):151–159.

    Article  CAS  PubMed  Google Scholar 

  12. Lim YC, Desta Z, Flockhart DA et al. Endoxifen (4-hydroxy-N-desmethyl-tamoxifen) has anti-estrogenic effects in breast cancer cells with potency similar to 4-hydroxy-tamoxifen. Cancer Chemother Pharmacol 2005; 55(5):471–478.

    Article  CAS  PubMed  Google Scholar 

  13. Lim YC, Li L, Desta Z et al. Endoxifen, a secondary metabolite of tamoxifen and 4-OH-tamoxifen induce similar changes in global gene expression patterns in MCF-7 breast cancer cells. J Pharmacol Exp Ther 2006; 318(2):503–512.

    Article  CAS  PubMed  Google Scholar 

  14. Goetz MP, Rae JM, Suman VJ et al. Pharmacogenetics of tamoxifen biotransformation is associated with clinical outcomes of efficacy and hot flashes. J Clin Oncol 2005; 23(36):9312–9318.

    Article  CAS  PubMed  Google Scholar 

  15. Bonanni B, Macis D, Maisonneuve P et al. Polymorphism in the CYP2D6 tamoxifen-metabolizing gene influences clinical effect but not hot flashes: data from the Italian Tamoxifen. Trial. J. Clin Oncol 2006; 24(22):3708–3709.

    Google Scholar 

  16. Goetz MP, Knox SK, Suman VJ et al. The impact of cytochrome P450 2D6 metabolism in women receiving adjuvant tamoxifen. Breast Cancer Res Treat 2007; 101(1):113–121.

    Article  CAS  PubMed  Google Scholar 

  17. Hoda D, Perez DG, Loprinzi CL. Hot flashes in breast cancer survivors. Breast J 2003; 9(5):431–438.

    Article  PubMed  Google Scholar 

  18. Coezy E, Borgna JL, Rochefort H. Tamoxifen and metabolites in MCF7 cells: correlation between binding to estrogen receptor and inhibition of cell growth. Cancer Res 1982; 42(1):317–323.

    CAS  PubMed  Google Scholar 

  19. Jordan VC. Metabolites of tamoxifen in animals and man: identification, pharmacology and significance. Breast Cancer Res Treat 1982; 2(2):123–138.

    Article  CAS  PubMed  Google Scholar 

  20. Rodriguez-Antona C, Ingelman-Sundberg M. Cytochrome P450 pharmacogenetics and cancer. Oncogene 2006; 25(11):1679–1691.

    Article  CAS  PubMed  Google Scholar 

  21. Bertilsson L, Lou YQ, Du YL et al. Pronounced differences between native Chinese and Swedish populations in the polymorphic hydroxylations of debrisoquin and S-mephenytoin. Clin Pharmacol Ther 1992; 51:388–397 [Erratum, Clin Pharmacol Ther 1994; 1955:1648].

    CAS  PubMed  Google Scholar 

  22. Jin Y, Desta Z, Stearns V et al. CYP2D6 genotype, antidepressant use and tamoxifen metabolism during adjuvant breast cancer treatment. J Natl Cancer Inst 2005; 97(1):30–39.

    CAS  PubMed  Google Scholar 

  23. Borges S, Desta Z, Li L et al. Quantitative effect of CYP2D6 genotype and inhibitors on tamoxifen metabolism: implication for optimization of breast cancer treatment. Clin Pharmacol Ther 2006; 80(1):61–74.

    Article  CAS  PubMed  Google Scholar 

  24. Garber K. Tamoxifen pharmacogenetics moves closer to reality. J Natl Cancer Inst 2005; 97(6):412–413.

    PubMed  Google Scholar 

  25. Young D. Genetics examined in tamoxifen’s effectivness. Am J Health Syst Pharm 2006;63(23):2286, 2296.

    Article  PubMed  Google Scholar 

  26. Van Poznak CH, Hayes DF. Aromatase inhibitors for the treatment of breast cancer: is tamoxifen of historical interest only? J Natl Cancer Inst 2006; 98(18):1261–1263.

    Article  PubMed  Google Scholar 

  27. Takimoto CH. Can tamoxifen therapy be optimized for patients with breast cancer on the basis of CYP2D6 activity assessments? Nat Clin Pract Oncol 2007; 4(3):152–153.

    Article  PubMed  Google Scholar 

  28. Choi JY, Nowell SA, Blanco JG et al. The role of genetic variability in drug metabolism pathways in breast cancer prognosis. Pharmacogenomics 2006; 7(4):613–624.

    Article  CAS  PubMed  Google Scholar 

  29. Marsh S, McLeod HL. Pharmacogenetics and oncology treatment for breast cancer. Expert Opin Pharmacother 2007; 8(2):119–127.

    Article  CAS  PubMed  Google Scholar 

  30. Beverage JN, Sissung TM, Sion AM et al. CYP2D6 polymorphisms and the impact on tamoxifen therapy. J Pharm Sci 2007; 96(9):2224–2231.

    Article  CAS  PubMed  Google Scholar 

  31. Wegman P, Vainikka L, Stål O et al. Genotype of metabolic enzymes and the benefit of tamoxifen in postmenopausal breast cancer patients. Breast Cancer Res 2005; 7(3):R284–R290.

    Article  CAS  PubMed  Google Scholar 

  32. Wegman P, Elingarami S, Carstensen J et al. Genetic variants of CYP3A5, CYP2D6, SULT1A1, UGT2B15 and tamoxifen response in postmenopausal patients with breast cancer. Breast Cancer Res 2007; 9(1):R7.

    Article  PubMed  CAS  Google Scholar 

  33. Nowell SA, Ahn J, Rae JM et al. Association of genetic variation in tamoxifen-metabolizing enzymes with overall survival and recurrence of disease in breast cancer patients. Breast Cancer Res Treat 2005; 91(3):249–258.

    Article  CAS  PubMed  Google Scholar 

  34. Schroth W, Antoniadou L, Fritz P et al. Breast cancer treatment outcome with adjuvant tamoxifen in relation to patient CYP2D6 and CYP2C19 genotypes. J Clin Oncol 2007; in press.

    Google Scholar 

  35. Hartman AR, Helft P. The ethics of CYP2D6 testing for patients considering tamoxifen. Breast Cancer Res 2007; 9(2):103.

    Article  PubMed  Google Scholar 

  36. Smith IE, Dowsett M. Aromatase inhibitors in breast cancer. N Engl J Med 2003; 348(24):2431–2442.

    Article  CAS  PubMed  Google Scholar 

  37. Swain SM. Aromatase inhibitors—a triumph of translational oncology. N Engl J Med 2005; 353(26):2807–2809.

    Article  CAS  PubMed  Google Scholar 

  38. Ma CX, Adjei AA, Salavaggione OE et al. Human aromatase: gene resequencing and functional genomics. Cancer Res 2005; 65(23):11071–11082.

    Article  CAS  PubMed  Google Scholar 

  39. Rieder MJ, Reiner AP, Gage BF et al. Effect of VKORC1 haplotypes on transcriptional regulation and warfarin dose. N Engl J Med 2005; 352(22):2285–2293.

    Article  CAS  PubMed  Google Scholar 

  40. Wang L, Weinshilboum RM. Thiopurine S-methyltransferase (TPMT) pharmacogenetics: insights, challenges and future directions. Oncogene Rev 2006; 25(11):1629–1938.

    Article  CAS  Google Scholar 

  41. Innocenti F, Ratain MJ. “Irinogenetics” and UGT1A: from genotypes to haplotypes. Clin Pharmacol Ther 2004; 75(6):495–500.

    Article  PubMed  Google Scholar 

  42. Zeggini E, Weedon MN, Lindgren CM et al. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 2007; 316(5829):1336–1341.

    Article  CAS  PubMed  Google Scholar 

  43. Scott LJ, Mohlke KL, Bonnycastle LL et al. A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science 2007; 316(5829):1341–1345.

    Article  CAS  PubMed  Google Scholar 

  44. Diabetes Genetics Initiative of Broad Institute of Harvard and MIT, Lund University, Novartis Institutes of BioMedical Research et al. Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 2007; 316(5829):1331–1336.

    Article  CAS  Google Scholar 

  45. Easton DF, Pooley KA, Dunning AM et al. Genome-wide association study identifies novel breast cancer susceptibility loci. Nature 2007; 447(7148):1087–1093.

    Article  CAS  PubMed  Google Scholar 

  46. Desta Z, Ward BA, Soukhova NV et al. Comprehensive evaluation of tamoxifen sequential biotransformation by the human cytochrome P450 system in vitro: prominent roles for CYP3A and CYP2D6. J Pharmacol Exp Ther 2004; 310(3):1062–1075.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Landes Bioscience and Springer Science+Business Media

About this chapter

Cite this chapter

Weinshilboum, R. (2008). Pharmacogenomics of Endocrine Therapy in Breast Cancer. In: Berstein, L.M., Santen, R.J. (eds) Innovative Endocrinology of Cancer. Advances in Experimental Medicine and Biology, vol 630. Springer, New York, NY. https://doi.org/10.1007/978-0-387-78818-0_14

Download citation

Publish with us

Policies and ethics