Open AccessImage-guided drug delivery of nanotheranostics for targeted lung cancer therapy
Author(s) -
Xiaonan Yin,
Yanan Cui,
Richard S Kim,
Wesley R. Stiles,
Seung Hun Park,
Haoran Wang,
Li Ma,
Lin Chen,
Yoonji Baek,
Satoshi Kashiwagi,
Kai Bao,
Amy Daniel Ulumben,
Takahiro Fukuda,
Homan Kang,
Hak Choi
Publication year - 2022
Publication title -
theranostics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.689
H-Index - 97
ISSN - 1838-7640
DOI - 10.7150/thno.72803
Subject(s) - medicine , nanomedicine , drug delivery , lung cancer , drug , gefitinib , targeted therapy , targeted drug delivery , cancer , pharmacology , oncology , epidermal growth factor receptor , nanotechnology , materials science , nanoparticle
Enormous efforts have been made to integrate various therapeutic interventions into multifunctional nanoplatforms, resulting in the advance of nanomedicine. Image-guided drug delivery plays a pivotal role in this field by providing specific targeting as well as image navigation for disease prognosis. Methods: We demonstrate image-guided surgery and drug delivery for the treatment of lung cancer using nanotheranostic H-dots loaded with gefitinib and genistein. Results: The surgical margin for lung tumors is determined by image guidance for precise tumor resection, while targeted anti-cancer drugs function simultaneously for synergistic combination therapy. Compared to conventional chemotherapies, H-dot complexes could improve the therapeutic efficacy of drugs while reducing the risk of adverse effects and drug resistance owing to their ideal biodistribution profiles, high targetability, low nonspecific tissue uptake, and fast renal excretion. Conclusions: These H-dot complexes have unlocked a unique framework for integrating multiple therapeutic and diagnostic modalities into one nanoplatform.