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Cho, Yoon-Kyoung
Integrated Nano-Biotech Lab (INBL)
Research Interests
  • Microfluidics, Lab-on-a-chip, personalized biomedical diagnostics, nanobioengineering

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Detection of EGFR Mutations Using Bronchial Washing-Derived Extracellular Vesicles in Patients with Non-Small-Cell Lung Carcinoma

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Title
Detection of EGFR Mutations Using Bronchial Washing-Derived Extracellular Vesicles in Patients with Non-Small-Cell Lung Carcinoma
Author
Park, JuheeLee, ChaeeunEom, Jung SeopKim, Mi-HyunCho, Yoon-Kyoung
Issue Date
2020-09
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
CANCERS, v.12, no.10, pp.2822
Abstract
The detection of epidermal growth factor receptor (EGFR) mutation, based on tissue biopsy samples, provides a valuable guideline for the prognosis and precision medicine in patients with lung cancer. In this study, we aimed to examine minimally invasive bronchial washing (BW)-derived extracellular vesicles (EVs) for EGFR mutation analysis in patients with lung cancer. A lab-on-a-disc equipped with a filter with 20-nm pore diameter, Exo-Disc, was used to enrich EVs in BW samples. The overall detection sensitivity of EGFR mutations in 55 BW-derived samples was 89.7% and 31.0% for EV-derived DNA (EV-DNA) and EV-excluded cell free-DNA (EV-X-cfDNA), respectively, with 100% specificity. The detection rate of T790M in 13 matched samples was 61.5%, 10.0%, and 30.8% from BW-derived EV-DNA, plasma-derived cfDNA, and tissue samples, respectively. The acquisition of T790M resistance mutation was detected earlier in BW-derived EVs than plasma or tissue samples. The longitudinal analysis of BW-derived EVs showed excellent correlation with the disease progression measured by CT images. The EGFR mutations can be readily detected in BW-derived EVs, which demonstrates their clinical potential as a liquid-biopsy sample that may aid precise management, including assessment of the treatment response and drug resistance in patients with lung cancer.
URI
https://scholarworks.unist.ac.kr/handle/201301/48292
URL
https://www.mdpi.com/2072-6694/12/10/2822
DOI
10.3390/cancers12102822
ISSN
2072-6694
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