Research progress on the application of superparamagnetic iron oxide nanoparticles in tumor theranostics
10.12354/j.issn.1000-8179.2025.20250412
- VernacularTitle:超顺磁性纳米颗粒在肿瘤诊疗一体化中的应用研究进展
- Author:
Zhou YUANDUAN
1
;
Li SIQI
1
;
Lin YUXUAN
1
;
Wang SIQI
1
Author Information
1. 遵义医科大学珠海校区医学影像学系(广东省 珠海市 519041)
- Publication Type:Journal Article
- Keywords:
superparamagnetic nanoparticles;
theranostics;
tumor;
magnetic resonance imaging(MRI);
targeted drug delivery
- From:
Chinese Journal of Clinical Oncology
2025;52(9):460-464
- CountryChina
- Language:Chinese
-
Abstract:
Superparamagnetic iron oxide nanoparticles(SPIONs)have been shown to exhibit degradability,superparamagnetic responsive-ness,and multimodal functional properties,which are expected to overcome the bottleneck of traditional separation between diagnosis and treatment in the time and space domains.Through magnetic resonance imaging(MRI)-guided intelligent delivery of targeted drugs,magnet-ic/light/acoustic multi-physical field collaborative therapy,and other strategies,the tumor microenvironment can be precisely regulated and drug resistance can be reversed.Herein,we systematically review the core mechanisms of SPIONs in cross-scale diagnosis and treatment and discuss the innovative application mechanism and technical progress of SPIONs in regard to the integration of tumor theranostics.SPIONs provide breakthrough solutions for the precise diagnosis and treatment of tumors through MRI navigation,targeted delivery system con-struction,and multimodal strategies,offering a theoretical foundation.However,current studies continue to encounter various challenges,including inadequate biosafety validation,restricted efficiency of targeted delivery due to tumor heterogeneity,and complexity of optimiz-ing parameters for multimodal synergistic treatments.Further refinement of material design and clinical translation strategies are essential for providing a valuable reference for developing systematic solutions that bridge theoretical innovations with technological implementation in tumor precision medicine.
