Nanoparticle-based combination therapy enhances fulvestrant efficacy and overcomes tumor resistance in ER-positive breast cancer.
Bozhao LiFeilong QiFei ZhuZefang LuMeiqi WangTianjiao ChuSuying WuJingyan WeiZhenchuan SongSaraswati SukumarCheng ZhangJiang-Fei XuSuping LiGuangjun NiePublished in: Cancer research (2023)
Nanoparticles (NPs) spanning diverse materials and properties have the potential to encapsulate and protect a wide range of therapeutic cargos to increase bioavailability, prevent undesired degradation, and mitigate toxicity. Fulvestrant, a selective estrogen receptor degrader (SERD), is commonly used for treating estrogen receptor (ER)-positive breast cancer patients, but its broad and continual application is limited by poor solubility, invasive muscle administration, and drug resistance. Here, we developed an active targeting motif-modified, intravenously injectable, hydrophilic NP that encapsulates fulvestrant to facilitate its delivery via the bloodstream to tumors, improving bioavailability and systemic tolerability. Additionally, the NP was co-loaded with abemaciclib, an inhibitor of cyclin-dependent kinases 4 and 6 (CDK4/6), to prevent the development of drug resistance associated with long-term fulvestrant treatment. Targeting peptide modifications on the NP surface assisted in the site-specific release of the drugs to ensure specific toxicity in the tumor tissues and spare normal tissue. The NP formulation (PPFA-cRGD) exhibited efficient tumor cell killing in both in vitro organoid models and in vivo orthotopic ER-positive breast cancer models without apparent adverse effects, as verified in mouse and Bama miniature pig models. This NP-based therapeutic provides an opportunity for continual and extensive clinical application of fulvestrant, thus indicating its promise as a treatment option for patients with ER-positive breast cancer.
Keyphrases
- estrogen receptor
- positive breast cancer
- combination therapy
- metastatic breast cancer
- oxidative stress
- cancer therapy
- skeletal muscle
- cell cycle
- gene expression
- open label
- cell therapy
- computed tomography
- cell proliferation
- mass spectrometry
- breast cancer cells
- magnetic resonance imaging
- liquid chromatography
- clinical trial
- stem cells
- randomized controlled trial
- signaling pathway
- artificial intelligence
- risk assessment
- drug induced
- machine learning
- diffusion weighted imaging
- placebo controlled
- human health