Cellular Metabolism of Estradiol in Models for Select Molecular Subtypes of Clinical Breast Cancer

Abstract

The mitogenic ovarian steroid hormone 17β-estradiol (E2) is associated with progression of Estrogen Receptor Positive (ER+) breast cancer, and ER represents a major therapeutic target for endocrine therapy. In addition to the ER dependent signal transduction, cellular oxidative metabolism of the ER ligand E2 generates several metabolites with pleotropic growth modulatory effects on breast cancer cells, providing valuable leads for novel therapeutic approach. The molecular classification of clinical breast cancer has defined cancer subtypes based on differential expression of the genes for hormones and growth factor receptors, thereby facilitating subtype targeted therapeutic interventions. However, de novo or acquired resistance to conventional endocrine and targeted small molecule based treatment limits the therapeutic efficacy and promotes therapy resistant disease progression. These aspects emphasize the need for identification of new efficacious non-toxic lead compounds. The present review summarizes critical experiments conducted to i) develop and optimize human tissue derived cell culture models for select molecular subtypes of clinical breast cancer, ii) determine the status of homeostatic growth control, cellular metabolism of 17β-estradiol (E2) and cancer risk in the developed models, and iii) evaluate the therapeutic efficacy and identify possible mechanisms of action of select herbal extracts/phyto-chemical. Additionally, this review discusses the evidence for the role of E2 metabolism in breast carcinogenesis and therapy. The data generated from the cell culture experiments demonstrate that the models for select molecular sub-types exhibit aberrant hyperproliferation, altered cellular metabolism of E2 and enhanced cancer risk. Select mechanistically distinct herbal extracts and natural phyto-chemical at their respective maximum cytostatic concentrations modulate cellular metabolism of E2 favoring generation of anti-proliferative metabolites and inhibit anchorage independent growth, thus reducing cancer risk. Collectively, these data validate the present mechanism based cell culture approach to identify and prioritize novel efficacious lead compounds for subtype targeted therapy of clinical breast cancer.