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Article

Deep Learning-Based Classification of NSCLC-Derived Extracellular Vesicles Using AFM Nanomechanical Signatures.

Analytical chemistry - 22 Jul 2025

Park Soohyun, Kim Youngkyu, Kim Jung-Hee, Kim Haeyoung, Kim Kwang-Youl, Kim Eunjoo, Koo Gyogwon, Lee Yoonhee

Abstract excerpt

Nonsmall cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality, with liquid biopsy emerging as a promising tool for noninvasive diagnostics. Extracellular vesicles (EVs) serve as molecular messengers of the tumor microenvironment, yet precise characterization methods remain limited. Using atomic force microscopy (AFM), we analyzed EVs from NSCLC subtypes (A549, PC9, PC9/GR) and...

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Share to Carcinoma, Non-Small-Cell Lung
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 40626500
DOI: 10.1021/acs.analchem.5c02009

Genes

AFM
KRAS
EGFR

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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