Accurate and Convenient Lung Cancer Diagnosis Through Detection of Extracellular Vesicle Membrane Proteins Via Förster Resonance Energy Transfer

Overview

Journal Nano Lett

Publisher American Chemical Society

Specialty Biotechnology

Date 2023 Aug 29

PMID 37643406

Authors

Shuting Xiao

Yi Yao

Shuilin Liao

Bin Xu

Xue Li

Yuxiao Zhang

Lei Zhang

Qiang Chen

Haoneng Tang

Qibin Song

Ming Dong

Affiliations

Soon will be listed here.

Abstract

Tumor-derived extracellular vesicles (EVs) are promising to monitor early stage cancer. Unfortunately, isolating and analyzing EVs from a patient's liquid biopsy are challenging. For this, we devised an EV membrane proteins detection system (EV-MPDS) based on Förster resonance energy transfer (FRET) signals between aptamer quantum dots and AIEgen dye, which eliminated the EV extraction and purification to conveniently diagnose lung cancer. In a cohort of 80 clinical samples, this system showed enhanced accuracy (100% versus 65%) and sensitivity (100% versus 55%) in cancer diagnosis as compared to the ELISA detection method. Improved accuracy of early screening (from 96.4% to 100%) was achieved by comprehensively profiling five biomarkers using a machine learning analysis system. FRET-based tumor EV-MPDS is thus an isolation-free, low-volume (1 μL), and highly accurate approach, providing the potential to aid lung cancer diagnosis and early screening.

Citing Articles

From biogenesis to aptasensors: advancements in analysis for tumor-derived extracellular vesicles research.

Yang G, Li Z, Usman R, Liu Y, Li S, Chen Z Theranostics. 2024; 14(10):4161-4183.

PMID: 38994022 PMC: 11234286. DOI: 10.7150/thno.95885.

Liquid biopsy techniques and lung cancer: diagnosis, monitoring and evaluation.

Ren F, Fei Q, Qiu K, Zhang Y, Zhang H, Sun L J Exp Clin Cancer Res. 2024; 43(1):96.

PMID: 38561776 PMC: 10985944. DOI: 10.1186/s13046-024-03026-7.

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