investigator_user investigator user funding collaborators pending menu bell message arrow_up arrow_down filter layers globe marker add arrow close download edit facebook info linkedin minus plus save share search sort twitter remove user-plus user-minus
  • Project leads
  • Collaborators

New and Integrated Perspectives on Modification of Tamoxifen Effectiveness

Timothy L Lash

1 Collaborator(s)

Funding source

National Cancer Institute (NIH)
About 200,000 US women are diagnosed with invasive breast cancer each year. About one-third are pre-menopausal and two-thirds have tumors that express estrogen receptor alpha (ER¿). These women usually receive tamoxifen therapy, which competes with estrogen for binding to the estrogen receptor, but does not stimulate tumor growth. Five-years of tamoxifen therapy reduces recurrence risk by almost half. Efforts to identify biomarkers of tamoxifen resistance-beyond the absence of ER¿-have met little success. Because tamoxifen requires metabolic activation to optimize its preventive effect, markers of metabolic inhibition are ideal biomarker candidates. Studies to date have focused only on this aspect of the competition to occupy the estrogen receptor between tamoxifen (and its metabolites) and estrogen (and its compounds). However, metabolic inhibition is unlikely to strongly predict recurrence risk in all ER¿+ patients. We propose an innovative perspective that incorporates both sides of the competition, as well as the estrogen receptor itself, in the only patient group (premenopausal women) for whom tamoxifen remains the first line endocrine therapy. No study has focused on pre-menopausal women, despite guidelines recommending only tamoxifen for pre- menopausal women, and despite reason to think the modification might be most important to them. Aim #1: Include only pre-menopausal breast cancer patients, collect data on their pharmaceutical inhibition of tamoxifen metabolism, genotype 66 genetic variants in 13 enzymes that affect the conCentreation of the most active tamoxifen metabolites, and evaluate the association between these variants and recurrence. ER¿+ breast cancer patients whose tumor also expresses ER¿ may not need fully activated tamoxifen to prevent recurrence, whereas women with ER¿-negative tumors probably require full metabolic capacity. Aim #2: Assay ER¿ expression, estimate the association between metabolic inhibition and recurrence in ER¿ strata, and evaluate interaction between metabolic inhibition and ER¿ status in the combined population. Women whose tumors do not make a lot of estrogen to compete with tamoxifen (17¿-hydroxysteroid dehydrogenase 1d2) may not need fully activated tamoxifen to prevent recurrence, whereas women whose tumors make a lot of estrogen to compete with tamoxifen probably require full metabolic capacity. Aim #3: Assay 17¿HSD1 and 17¿HSD2 expression, estimate the association between 17¿HSD1/2 ratio >1-, versus d1-and recurrence, and evaluate the interaction between metabolic inhibition and this ratio.

Related projects