Fibronectin on circulating extracellular vesicles as a liquid biopsy to detect breast cancer
- Authors
- Moon, Pyong-Gon; Lee, Jeong-Eun; Cho, Young-Eun; Lee, Soo Jung; Chae, Yee Soo; Jung, Jin Hyang; Kim, In-San; Park, Ho Yong; Baek, Moon-Chang
- Issue Date
- 28-6월-2016
- Publisher
- IMPACT JOURNALS LLC
- Keywords
- breast cancer; diagnosis; extracellular vesicle; ELISA
- Citation
- ONCOTARGET, v.7, no.26, pp.40189 - 40199
- Indexed
- SCIE
SCOPUS
- Journal Title
- ONCOTARGET
- Volume
- 7
- Number
- 26
- Start Page
- 40189
- End Page
- 40199
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/88297
- DOI
- 10.18632/oncotarget.9561
- ISSN
- 1949-2553
- Abstract
- Extracellular vesicles (EVs) secreted from cancer cells have potential for generating cancer biomarker signatures. Fibronectin (FN) was selected as a biomarker candidate, due to the presence in surface on EVs secreted from human breast cancer cell lines. A subsequent study used two types of enzyme-linked immunosorbent assays (ELISA) to determine the presence of these proteins in plasma samples from disease-free individuals (n=70), patients with BC (n=240), BC patients after surgical resection (n=40), patients with benign breast tumor (n=55), and patients with non-cancerous diseases (thyroiditis, gastritis, hepatitis B, and rheumatoid arthritis; n=80). FN levels were significantly elevated (p<.0001) at all stages of BC, and returned to normal after tumor removal. The diagnostic accuracy for FN detection in extracellular vesicles (ELISA method 1) (area under the curve, 0.81; 95% CI, 0.76 to 0.86; sensitivity of 65.1% and specificity of 83.2%) were also better than those for FN detection in the plasma (ELISA method 2) (area under the curve, 0.77; 95% CI, 0.72 to 0.83; sensitivity of 69.2% and specificity of 73.3%) in BC. The diagnostic accuracy of plasma FN was similar in both the early-stage BC and all BC patients, as well as in the two sets. This liquid biopsy to detect FN on circulating EVs could be a promising method to detect early breast cancer.
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Collections - Graduate School > KU-KIST Graduate School of Converging Science and Technology > 1. Journal Articles
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