Estrogen receptor (ER) positive breast cancers rely on
ER signaling for progression and even after developing resistance to endocrine therapies, highlighting the need for improved ER-targeting treatments.
Fulvestrant is a full antagonist of ER, which is believed to work by degrading the
ERα protein, but its clinical use is hampered by its physicochemical properties and the need for intramuscular injection.
Researchers are developing orally bioavailable molecules that maintain fulvestrant's antagonistic properties with better drug-like characteristics. However, new therapeutic candidates such as
GDC-0810 and
GDC-0927, which have been optimized for ER degradation, show different mechanisms. These drugs, along with fulvestrant, have distinct effects on ER degradation, transcriptional profiles, and their ability to inhibit cell growth in various ER+ breast cancer cell lines. In patient-derived xenograft (PDX) models, GDC-0927 demonstrates more effective transcriptional suppression and greater efficacy than GDC-0810, despite having a less favorable pharmacokinetic profile due to rapid clearance and poor oral absorption, leading to a high pill burden.
The article introduces
GDC-9545, a non-steroidal ER ligand that effectively competes with
estradiol for binding and induces an antagonistic conformation within the ER ligand binding domain. GDC-9545 induces ER turnover and transcriptional suppression, leading to strong anti-proliferative effects in vitro. It also shows reduced metabolism and enhanced oral bioavailability compared to GDC-0927, resulting in improved oral exposure across species. Due to its pharmacological properties and oral exposure, GDC-9545 achieves comparable anti-
tumor activity to GDC-0927 at significantly lower doses and demonstrates greater in vivo efficacy than both GDC-0810 and fulvestrant at clinically relevant exposures. The superior efficacy of GDC-9545 is attributed to its high binding potency, complete suppression of ER signaling, and an improved drug metabolism and pharmacokinetic (DMPK) profile. GDC-9545 is currently under evaluation in Phase 1 clinical trials (ClinicalTrials.gov Identifier: NCT03332797).
The research was presented by Metcalfe C et al. at the 2018 San Antonio
Breast Cancer Symposium and published in Cancer Research 2019;79(4 Suppl):Abstract nr P5-04-07.
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.
