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Updated: May 20, 2025

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Polymalic Acid-based Nano Biopolymers for Targeting of Multiple Tumor Markers: An Opportunity for Personalized Medicine?
Published on: June 13, 2014
16.6K
Programming a multiplex lanthanide nanoparticle for customized cancer treatment with real-time efficiency feedback.
Hongxia Zhao1,2, Wei Chen3, Yu Zhu1
1State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China. yingliu@nju.edu.cn.
Nanoscale
|March 24, 2025
Summary
This study introduces a novel cancer therapy platform that integrates imaging and treatment. This self-evaluating system enables real-time monitoring of therapeutic effects for customized photodynamic therapy (PDT) dosage adjustments.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Oncology
Background:
- Current cancer therapies lack integrated imaging for timely effect evaluation, complicating treatment adjustments.
- Separate administration of imaging agents and therapeutic reagents delays feedback and complicates treatment protocols.
- Need for self-evaluating therapeutic platforms for personalized cancer treatment.
Purpose of the Study:
- To design and develop a customized cancer therapy platform (LNPs-RB/Pep/cRGD) for integrated imaging and photodynamic therapy (PDT).
- To enable real-time evaluation of therapeutic efficacy through apoptosis imaging for timely dosage adjustment.
- To enhance customized cancer therapy by providing rapid feedback on treatment effectiveness.
Main Methods:
- Conjugation of lanthanide nanoparticles (LNPs) with rose bengal, a caspase-3 substrate peptide (Cy7.5-labeled), and cRGD for a multifunctional platform.
- Utilizing LNPs for dual-mode imaging (NIR-IIb and visible upconversion luminescence) and photodynamic therapy (PDT).
- Sequential NIR excitation programming for imaging-guided PDT and real-time apoptosis detection via peptide cleavage.
Main Results:
- The platform achieved NIR-IIb imaging-guided PDT and real-time cancer cell apoptosis imaging.
- Apoptosis imaging provided therapeutic feedback 12 hours post-PDT, significantly earlier than traditional tumor size measurements (7 days).
- The cleaved peptide fragment was visualized via NIR imaging after urinary clearance, confirming the apoptosis detection mechanism.
Conclusions:
- The developed customized therapy platform enables self-evaluation of therapeutic effects through real-time apoptosis imaging.
- Timely feedback allows for precise adjustment of PDT dosage, enhancing therapeutic efficacy in individualized cancer treatment.
- This integrated approach simplifies the therapeutic process and accelerates reporting time compared to conventional methods.

