CDK4/6 inhibitors are recognized for their role in treating
metastatic ER+ HER2- breast cancer, either alone or with hormone therapy. However, resistance to these treatments is common due to factors like
Rb loss, heightened CDK4/6 activity, and increased expression and function of
CDK2/
Cyclin E1. This leads to a significant clinical demand for alternative approaches.
Triple-negative breast cancers (TNBC) are particularly challenging due to the absence of hormone receptors and their diversity, making them resistant to current treatments. Overexpression or amplification of CCNE1 is linked to poor outcomes in various cancers, including those of the ovary, stomach, uterus, and ER+ breast. These
cancers are reliant on CDK2 for growth and survival, with CDK2 and CCNE1 working together to phosphorylate Rb and promote cell cycle progression.
A study utilized
INCB123667, a potent and selective CDK2 inhibitor, to show its effectiveness against CCNE1-high
breast cancer models. CRISPR screening data revealed a subset of these models, including TNBC and different subtypes of ER+ HER2- and HR- HER2+ cancers, that are reliant on CDK2.
Two cell lines, HCC1569 and MDAMB157, were tested and showed sensitivity to INCB123667 but not to various CDK4/6 inhibitors. INCB123667 was found to be highly effective against CDK2 at subnanomolar levels and did not affect other
CDKs. It induced senescence in CCNE1-high HCC1569 cells but had no effect on non-amplified cell lines like MCF7 and T47D.
Significant tumor growth inhibition was observed in CCNE1-high patient-derived xenograft (PDX) and xenograft models with minimal weight loss. The study also identified a gene signature linked to cell cycle regulation that differed from CDK4/6 responsive genes.
In summary, the research highlights the potential of CDK2 inhibition with INCB123667, a CDK2 inhibitor in clinical development, for treating CCNE1-high ER+ HER2- and TNBC breast cancers. The treatment showed promise in inhibiting cell growth and tumor activity both in vitro and in vivo.
Acknowledgments go to
Pharmaron,
Crown Bioscience, and
Champions Oncology for their R&D contributions.
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.
