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As the intertissue delivery of hydrophobic temoporfin (mTHPC) remains inefficient, we propose the use of cyclodextrin-based nanosponges as a smart, advanced system for improved mTHPC delivery. Recently, we demonstrated that cyclodextrins (CDs) allow mTHPC to penetrate into tumor spheroids via a nanoshuttle mechanism. However, the CD complexes were very sensitive to the dilution, thus limiting their translation invivo. Hypercrosslinked CD monomers in a three-dimensional network (namely, CD nanosponges), however, may form both inclusion and non-inclusion complexes with drug molecules, providing controlled release and prolonged exposure to the drug. In the present work, we demonstrate that epichlorohydrin-crosslinked CD nanosponges based on β-CD (βCDp) and carboxymethyl-β-CD (CMβCDp) monomers efficiently encapsulated mTHPC. We calculated the apparent binding constants between mTHPC and CD polymers (K=(6.3-8.8) × 10M and K=(1.2-1.7) × 10M for βCDp and CMβCDp, respectively) using fluorescence titration curve fitting. The encapsulation of mTHPC in a CD polymer matrix had slower photosensitizer (PS) release compared to monomer CD units, providing deep penetration of mTHPC in 3D tumor spheroids in a concentration-dependent manner. However, the improvement of mTHPC penetration in 3D human pharynx squamous cell carcinoma (FaDu) spheroids using CD polymers was strongly accompanied by the inhibition of PS cellular uptake, demonstrating the delicate balance between the accumulation and the penetration of PS in FaDu spheroids. In summary, mTHPC-loaded CD nanosponges are a strong candidate for further invivo study in preclinical models, which could be considered as an advanced smart system for mTHPC delivery.
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http://dx.doi.org/10.1016/j.ejpb.2020.06.022 | DOI Listing |
Biochem Biophys Rep
December 2025
Department of Neurosurgery, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany.
Brillouin microscopy allows mechanical investigations of biological materials at the subcellular level and can be integrated with Raman spectroscopy for simultaneous chemical mapping, thus enabling a more comprehensive interpretation of biomechanics. The present study investigates different in vitro glioblastoma models using a combination of Brillouin and Raman microspectroscopy. Spheroids of the U87-MG cell line and two patient-derived cell lines as well as patient-derived organoids were used.
View Article and Find Full Text PDFAdv Pharm Bull
July 2025
Department of Medical Biotechnology, Faculty of Advanced Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran.
Purpose: Tumor hypoxia is a key barrier to successful delivery and activity of anti-cancer agents. To tackle this, we designed hypoxia-responsive Au-PEI-Azo-mPEG nanoparticles (NPs) denoted as APAP NPs for targeted delivery of hypoxia-activated prodrug (HAP), tirapazamine (TPZ) to hypoxic breast cancer cells.
Methods: AuNPs were first synthesized.
J Biophotonics
September 2025
Stephenson School of Biomedical Engineering, University of Oklahoma, Norman, Oklahoma, USA.
Ovarian cancer (OvCa) remains the leading cause of gynecological cancer mortality, with most patients developing chemoresistance. Drug repurposing offers promising alternatives, with mebendazole (MBZ) showing anticancer activity. This study evaluates MBZ efficacy using Spectral Domain Optical Coherence Tomography (SD-OCT).
View Article and Find Full Text PDFBiochem Biophys Rep
December 2025
Research Center for Pharmaceutical Nanotechnology, Biomedicine Institute, Tabriz University of Medical Sciences, Tabriz, Iran.
Breast cancer is the most prevalent cancer among women, posing significant challenges due to its heterogeneity. Recent studies suggest that the ketogenic diet (KD) may enhance chemotherapy efficacy by modulating cancer cell metabolism, particularly through the elevation of ketone bodies like β-hydroxybutyrate (BHB). This study investigates the effects of BHB on breast cancer cells using both 2D and 3D culture models, focusing on its role in developing resistance to fluorouracil (5-FU).
View Article and Find Full Text PDFAn integrated approach is proposed to rapidly evaluate the effects of anticancer treatments in 3D models, combining a droplet-based microfluidic platform for spheroid formation and single-spheroid chemotherapy application, label-free morphological analysis, and machine learning to assess treatment response. Morphological features of spheroids, such as size and color intensity, are extracted and selected using the multivariate information-based inductive causation algorithm, and used to train a neural network for spheroid classification into viability classes, derived from metabolic assays performed within the same platform as a benchmark. The model is tested on Ewing sarcoma cell lines and patient-derived xenograft (PDX) cells, demonstrating robust performance across datasets.
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