研究目的
To develop a self-monitoring and triple-collaborative nanotheranostics for cancer therapy by combining anti-angiogenesis, RNA interference, and photothermal therapy, utilizing auto-fluorescent polymer nanotheranostics for real-time tracking and enhanced therapeutic efficacy.
研究成果
The NPICS nanotheranostics demonstrated efficient tumor growth inhibition through a combination of anti-angiogenesis therapy and gene silencing-enhanced photothermal therapy. The inherent auto-fluorescence of PEI-PLA allowed for real-time tracking of NPICS biodistribution and tumor accumulation, showcasing its potential for precision nanomedicine.
研究不足
The study acknowledges the limited penetration ability of nanoparticles and NIR light in deeper tumor tissues, which may affect the therapeutic efficacy in those areas.
1:Experimental Design and Method Selection
The study utilized auto-fluorescent amphiphilic polymer polyethyleneimine-polylactide (PEI-PLA) to construct nanotheranostics (NPICS) that can simultaneously load CA4, IR825, and siHSP70. The methodology included the synthesis of PEI-PLA, preparation of NPICS, and evaluation of their therapeutic and imaging capabilities.
2:Sample Selection and Data Sources
MDA-MB-231 cells and a xenograft mouse tumor model were used to evaluate the therapeutic and imaging capabilities of NPICS.
3:List of Experimental Equipment and Materials
Branched polyethyleneimine (PEI, 25 kDa), D,L-lactide (DLLA), Combretastatin A4 (CA4), siHSP70, LysoTracker Deep Red, Dimethyl sulfoxide (DMSO), and other solvents of analytical grade.
4:Experimental Procedures and Operational Workflow
The study involved the preparation of NPICS, characterization of nanoparticles, in vitro cellular uptake and subcellular localization, Western blot analysis, in vitro cytotoxicity, in vitro self-monitoring penetration of NPICS, in vivo anti-angiogenic efficacy, in vivo imaging, and in vivo antitumor assessment.
5:Data Analysis Methods
Data were analyzed using statistical methods including one-way analysis of variance (ANOVA) for multiple-group analysis.
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