This study explores the development of a novel nanoparticle therapeutic,
DAN-311, designed to improve upon traditional antibody-drug conjugates (ADCs) by leveraging biocompatible polymer chemistry. The nanoparticle is constructed by attaching chemotherapy agents to a polymer through linkers that can adjust release rates and pharmacokinetics. DAN-311 specifically targets
HER2, a protein found in
breast cancer cells, with
trastuzumab, and carries the chemotherapy drug
camptothecin (CPT), an inhibitor of topoisomerase I.
The research highlights two main benefits of DAN-311 for patients with
HER2-low expressing tumors: a higher drug-to-antibody ratio (DAR) that can enhance the bystander effect, where the drug is effective against both targeted and neighboring cells, and the nanoparticle's ability to combat HER2 non-expressing cells through the enhanced permeability and retention (EPR) effect.
The study details the consistency and control of critical characteristics of the DAN-311 nanoparticles, such as particle size, chemotherapy load, and release rate, which are crucial for efficient large-scale manufacturing. It also reports on the enhanced efficacy of DAN-311 in a HER2-low breast cancer xenograft mouse model, comparing its performance to trastuzumab and the non-targeted core nanoparticle.
The results show that the nanoparticles maintained a consistent size and DAR across different conditions and demonstrated linear release kinetics in various media. DAN-311 significantly outperformed the control and core particle in inhibiting
tumor growth. The non-targeted core particle also showed significant tumor growth inhibition, which lasted for at least three weeks post-treatment.
The study concludes that DAN-311 is a promising next-generation ADC that can effectively inhibit tumor growth in HER2-low xenograft mouse models. Its targeted delivery and high DAR enhance cell killing capabilities, and the EPR effect allows for additional treatment of non-HER2-expressing areas within tumors. The drug is now moving forward to clinical trials for the treatment of HER2-low metastatic breast cancer patients.
The study's findings were presented at the 2021 San Antonio Breast Cancer Symposium and published in the Cancer Research journal.
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.
