Development of a self-assembling aggregation-induced emission nanoprobe for targeted therapy and real-time imaging in non-small cell lung cancer.
TL;DR
It is suggested that AIEnp represents a promising multifunctional platform for NSCLC treatment, combining targeted therapy with real-time imaging capabilities, and downregulated c-Met expression and its downstream signaling pathways, effectively disrupting multiple oncogenic cascades.
OpenAlex 토픽 ·
Nanoplatforms for cancer theranostics
Carbon and Quantum Dots Applications
Luminescence and Fluorescent Materials
It is suggested that AIEnp represents a promising multifunctional platform for NSCLC treatment, combining targeted therapy with real-time imaging capabilities, and downregulated c-Met expression and i
APA
Zhen Ren, Shuai Li, et al. (2026). Development of a self-assembling aggregation-induced emission nanoprobe for targeted therapy and real-time imaging in non-small cell lung cancer.. Journal of photochemistry and photobiology. B, Biology, 278, 113402. https://doi.org/10.1016/j.jphotobiol.2026.113402
MLA
Zhen Ren, et al.. "Development of a self-assembling aggregation-induced emission nanoprobe for targeted therapy and real-time imaging in non-small cell lung cancer.." Journal of photochemistry and photobiology. B, Biology, vol. 278, 2026, pp. 113402.
PMID
41793940
Abstract
Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide, characterized by poor prognosis and high relapse rates due to the limited therapeutic efficacy and tumor specificity of existing treatments. In this study, we developed a novel self-assembling aggregation-induced emission (AIE)-based nanomaterial (AIEnp) designed to target c-Met, a receptor tyrosine kinase that plays a critical role in tumor progression and resistance in NSCLC. The AIEnp system exhibits dual functionality: it enables fluorescence tracing for real-time imaging and provides targeted c-Met inhibition for therapeutic intervention. In vitro experiments demonstrated that AIEnp significantly reduced the viability of A549 lung adenocarcinoma cells in a concentration-dependent manner, while exhibiting minimal cytotoxicity toward HEK293T somatic cells. Mechanistically, AIEnp downregulated c-Met expression and its downstream signaling pathways, including FAK, MAPK, RAF, and STAT, thereby effectively disrupting multiple oncogenic cascades. The AIE-based design facilitated tumor-specific accumulation and fluorescence tracing, addressing the limitations of poor tumor penetration and non-specific distribution commonly observed in conventional therapies. These findings suggest that AIEnp represents a promising multifunctional platform for NSCLC treatment, combining targeted therapy with real-time imaging capabilities. Future studies will focus on in vivo validation and exploring the potential of AIEnps in combination therapies to further enhance their clinical applicability.
MeSH Terms
Humans; Carcinoma, Non-Small-Cell Lung; Lung Neoplasms; Proto-Oncogene Proteins c-met; HEK293 Cells; A549 Cells; Fluorescent Dyes; Optical Imaging; Cell Survival; Nanostructures; Antineoplastic Agents; Nanoparticles; Signal Transduction
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