Breast cancer ranks as the top cancer among women and is a leading cause of
cancer-related deaths. The role of estrogens in the progression of this disease is significant, prompting extensive research into methods that can hinder estrogen production and its effects.
Tamoxifen, an antiestrogen, is a widely utilized treatment for breast cancer, but its mixed effects necessitate the development of antiestrogens with pure antagonistic properties, particularly targeting the mammary gland and endometrium to avoid
endometrial cancer risks.
Our research has led to the synthesis of
EM-652 (SCH 57068) and its precursor
EM-800 (SCH57050), which are potent non-steroidal antiestrogens. EM-652 exhibits the highest binding affinity to the
estrogen receptor, surpassing
estradiol and other competitors like
ICI 182780 and
hydroxytamoxifen. It is notably effective against both ER alpha and
ER beta, and unlike hydroxytamoxifen, it inhibits both AF1 and AF2 functions of these receptors, which are crucial for growth factor and oncogene activity.
EM-652's capacity to inhibit ligand-independent AF1 activation, which is linked to receptor phosphorylation by kinases, is a key feature. It also suppresses
Ras-induced transcriptional activity and blocks the action of
SRC-1, a coactivator of the receptors. The pure antiestrogen EM-652 nullifies the SRC-1-induced ER beta activity, unlike hydroxytamoxifen, which does not, highlighting the importance of pure antiestrogens in breast cancer treatment.
EM-800 has been shown to prevent mammary carcinoma in rats, a model akin to human breast cancer. The addition of
dehydroepiandrosterone to EM-800 resulted in complete tumor inhibition. Furthermore, EM-800 treatment reduced uterine size and the presence of
estrogen receptors in the uterus, vagina, and tumors. EM-652 demonstrated the most potent inhibition of human breast cancer cell growth in vitro, contrasting with the stimulatory effects of hydroxytamoxifen and
droloxifene on cell proliferation. It also effectively reduced the percentage of cycling cancer cells.
How to Use Synapse Database to Search and Analyze Translational Medicine Data?
The transational medicine section of the Synapse database supports searches based on fields such as drug, target, and indication, covering the T0-T3 stages of translation. Additionally, it offers a historical conference search function as well as filtering options, view modes, translation services, and highlights summaries, providing you with a unique search experience.

Taking obesity as an example, select "obesity" under the indication category and click search to enter the Translational Medicine results list page. By clicking on the title, you can directly navigate to the original page.

By clicking the analysis button, you can observe that GLP-1R treatment for obesity has gained significant attention over the past three years, with preclinical research still ongoing in 2023. Additionally, there are emerging potential targets, such as GDF15, among others.

Click on the image below to go directly to the Translational Medicine search interface.
