Magnetic Resonance Imaging-Guided Drug Delivery to Breast Cancer Stem-Like Cells.
Yujin SunHoe Suk KimSukmo KangYin Ji PiaoSangyong JonWoo Kyung MoonPublished in: Advanced healthcare materials (2018)
The feasibility of detecting breast cancer stem-like cells (BCSCs) with magnetic resonance imaging using extradomain-B of fibronectin (EDB-FN)-specific peptide (APTEDB )-conjugated thermally cross-linked superparamagnetic iron oxide nanoparticles (APTEDB -TCL-SPIONs) is previously demonstrated. Here, doxorubicin (Dox)-loaded APTEDB -TCL-SPIONs (Dox@APTEDB -TCL-SPIONs) are generated and their theranostic ability in a BCSC xenograft mouse model is assessed. The Dox@APTEDB -TCL-SPIONs enable more efficient delivery of Dox to tumors than nontargeted Dox@TCL-SPIONs. Much greater inhibition of BCSC tumor growth is observed after treatment with the Dox@APTEDB -TCL-SPIONs than with either Dox@TCL-SPIONs or free Dox. Hypointense signals are observed in the majority of the mice in postcontrast but not precontrast T2*-weighted MR images of tumors 7 days after treatment with Dox@APTEDB -TCL-SPIONs. An inverse correlation is observed between signal intensity and both EDB-FN expression and response to chemotherapy. The data indicate Dox@APTEDB -TCL-SPIONs can detect BCSCs within tumors by targeting EDB-FN-expressing cells. These nanoparticles thus have theranostic potential in breast cancer.
Keyphrases
- magnetic resonance imaging
- drug delivery
- mouse model
- iron oxide nanoparticles
- contrast enhanced
- photodynamic therapy
- cancer therapy
- type diabetes
- magnetic resonance
- induced apoptosis
- computed tomography
- deep learning
- electronic health record
- adipose tissue
- squamous cell carcinoma
- skeletal muscle
- high intensity
- convolutional neural network
- young adults
- metabolic syndrome
- cell death
- climate change
- cell cycle arrest
- tandem mass spectrometry