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Novel multifunctional NIR-II aggregation-induced emission nanoparticles-assisted intraoperative identification and elimination of residual tumor

  • Qiaojun Qu
  • , Zeyu Zhang
  • , Xiaoyong Guo
  • , Junying Yang
  • , Caiguang Cao
  • , Changjian Li
  • , Hui Zhang*
  • , Pengfei Xu*
  • , Zhenhua Hu*
  • , Jie Tian*
  • *Corresponding author for this work
  • Shanxi Medical University
  • CAS - Institute of Automation
  • General Hospital of People's Liberation Army
  • Anhui Medical University
  • Southern Medical University
  • University of Chinese Academy of Sciences
  • Jining Medical College

Research output: Contribution to journalArticlepeer-review

Abstract

Incomplete tumor resection is the direct cause of the tumor recurrence and metastasis after surgery. Intraoperative accurate detection and elimination of microscopic residual cancer improve surgery outcomes. In this study, a powerful D1–π–A–D2–R type phototheranostic based on aggregation-induced emission (AIE)-active the second near-infrared window (NIR-II) fluorophore is designed and constructed. The prepared theranostic agent, A1 nanoparticles (NPs), simultaneously shows high absolute quantum yield (1.23%), excellent photothermal conversion efficiency (55.3%), high molar absorption coefficient and moderate singlet oxygen generation performance. In vivo experiments indicate that NIR-II fluorescence imaging of A1 NPs precisely detect microscopic residual tumor (2 mm in diameter) in the tumor bed and metastatic lymph nodes. More notably, a novel integrated strategy that achieves complete tumor eradication (no local recurrence and metastasis after surgery) is proposed. In summary, A1 NPs possess superior imaging and treatment performance, and can detect and eliminate residual tumor lesions intraoperatively. This work provides a promising technique for future clinical applications achieving improved surgical outcomes. Graphic Abstract: [Figure not available: see fulltext.]

Original languageEnglish
Article number143
JournalJournal of Nanobiotechnology
Volume20
Issue number1
DOIs
StatePublished - Dec 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Aggregation-induced emission
  • NIR-II imaging
  • Phototheranostic
  • Phototherapy
  • Residual tumor

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