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Fusogenic Liposome-Mediated Extracellular Vesicles MicroRNA Profiling for Lung Cancer Diagnosis.

ACS nano 2026 Vol.20(15) p. 11857-11872 Extracellular vesicles in disease
OpenAlex 토픽 · Extracellular vesicles in disease Nanoplatforms for cancer theranostics interferon and immune responses

Meng F, Wang R, Yu W, Nie W, Niu M, Wang Y, Zhao Y, Li X, Zhou Y, Gu Z, Chi C, Lou Y, Zhong H, Huang L, Wang J

📝 환자 설명용 한 줄

Profiling circulating extracellular vesicle-associated microRNAs (EVs-miRNA) is essential for improving lung cancer (LC) diagnosis and prognosis in clinical tests.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 연구 설계 cross-sectional

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BibTeX ↓ RIS ↓
APA Fanyu Meng, Rui Wang, et al. (2026). Fusogenic Liposome-Mediated Extracellular Vesicles MicroRNA Profiling for Lung Cancer Diagnosis.. ACS nano, 20(15), 11857-11872. https://doi.org/10.1021/acsnano.6c00879
MLA Fanyu Meng, et al.. "Fusogenic Liposome-Mediated Extracellular Vesicles MicroRNA Profiling for Lung Cancer Diagnosis.." ACS nano, vol. 20, no. 15, 2026, pp. 11857-11872.
PMID 41944788

Abstract

Profiling circulating extracellular vesicle-associated microRNAs (EVs-miRNA) is essential for improving lung cancer (LC) diagnosis and prognosis in clinical tests. However, the complexity of RNA extraction procedures and the lack of an LC-specific EVs-miRNA signature limit the clinical applicability of the current liquid biopsy tools. Herein, we develop a fusogenic liposome nanoreactor for the direct profiling of plasma EVs-miRNAs. This platform integrates reagent-encapsulating liposomes, isothermal rolling circle amplification, and CRISPR-Cas12a endonuclease cleavage in a one-pot manner, allowing for ultrasensitive measurements down to fM levels. A LC-specific EVs-miRNA signature was identified through a designed four-phase screening procedure, which was validated by using both public databases and clinical samples. In a proof-of-concept cross-sectional and longitudinal study involving a clinical cohort ( = 141), the profiled signature enabled early diagnosis, therapy monitoring, and prognosis evaluation with an accuracy of up to 93.1%. The platform streamlines the diagnostic workflow into a single fusogenic step, providing an RNA extraction-free and proof-of-concept liquid biopsy framework for potential LC management.

MeSH Terms

Humans; Lung Neoplasms; Liposomes; Extracellular Vesicles; MicroRNAs; Liquid Biopsy

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