Characterization of ERα Signaling to Cell Proliferation Induced by Chronic and Pulsatile E2 Stimulation in 2D and 3D Cell Cultures

17β-estradiol is a hormone that plays a vital role in human physiology. It acts through estrogen receptors, specifically estrogen receptor α and estrogen receptor β, and its action is determined by the pulsatile secretion in the bloodstream. 17β-estradiol affects cell proliferation, and dysregulation of 17β-estradiol:estrogen receptor α signaling contribute to the development of breast cancer. Previous research on 17β-estradiol:estrogen receptor α signaling has primarily used two-dimensional cell cultures, which do not fully recapitulate the complexity of tumors that exist in a three-dimensional environment and do not consider the pulsatile nature of this hormone. To address these limitations, we studied 17β-estradiol:estrogen receptor α signaling in cell proliferation using both two-dimensional and three-dimensional breast cancer cell culture models under continuous and pulsatile stimulation conditions. Results revealed that breast cancer cells grown in an alginate-based three-dimensional matrix exhibited similar responsiveness to 17β-estradiol compared with cells grown in conventional two-dimensional culture plates. 17β-estradiol induced the expression of proteins containing estrogen response element in the three-dimensional model. The efficacy of the antiestrogen drugs fulvestrant (ICI182,280) and 4OH-tamoxifen was also demonstrated in the three-dimensional model. These results support the use of the three-dimensional culture model for studying tumor response to drugs and provide a more realistic microenvironment for such studies. Furthermore, the study revealed that a brief 5-min exposure to 17β-estradiol triggered a physiological response comparable with continuous hormone exposure, suggesting that the cellular response to 17β-estradiol is more important than the continuous presence of the hormone. In conclusion, the study demonstrates that the alginate-based three-dimensional culture model is suitable for studying the effects of 17β-estradiol and antiestrogen drugs on breast cancer cells, offering a more realistic representation of tumor-microenvironment interactions. The results also highlight the importance of considering the physiological importance of the temporal dynamics in studying 17β-estradiol signaling and cellular responses.