Literature DB >> 26603257

Identification of Developmental Endothelial Locus-1 on Circulating Extracellular Vesicles as a Novel Biomarker for Early Breast Cancer Detection.

Pyong-Gon Moon1, Jeong-Eun Lee1, Young-Eun Cho1, Soo Jung Lee2, Jin Hyang Jung3, Yee Soo Chae2, Han-Ik Bae4, Young-Bum Kim5, In-San Kim6, Ho Yong Park3, Moon-Chang Baek7.   

Abstract

PURPOSE: Currently, there are no molecular biomarkers for the early detection of breast cancer. This study focused on identifying surface proteins found on circulating extracellular vesicles (EVs) for detecting early-stage breast cancer. EXPERIMENTAL
DESIGN: Circulating EVs, isolated from the plasma of 10 patients with breast cancer (stages I and II) and 5 healthy controls, were analyzed using LC-MS/MS. Developmental endothelial locus-1 protein (Del-1) was selected as a candidate biomarker. Two different ELISAs were used to measure Del-1 in plasma samples from healthy controls (n= 81), patients with breast cancer (n= 269), breast cancer patients after surgical resection (n= 50), patients with benign breast tumors (n= 64), and patients with noncancerous diseases (n= 98) in two cohorts.
RESULTS: Plasma Del-1 levels were significantly higher (P< 0.0001) in patients with breast cancer than in all controls and returned to almost normal after tumor removal. The diagnostic accuracy of Del-1 was AUC, 0.961 [95% confidence interval (CI), 0.924-0.983], sensitivity of 94.70%, and specificity of 86.36% in test cohort and 0.968 (0.933-0.988), 92.31%, and 86.62% in validation cohort for early-stage breast cancer by one type of ELISA. Furthermore, Del-1 maintained diagnostic accuracy for patients with early-stage breast cancer using the other type of ELISA [0.946 (0.905-0.972), 90.90%, and 77.14% in the test cohort; 0.943 (0.900-0.971), 89.23%, and 80.99% in the validation cohort].
CONCLUSIONS: Del-1 on circulating EVs is a promising marker to improve identification of patients with early-stage breast cancer and distinguish breast cancer from benign breast tumors and noncancerous diseases. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26603257     DOI: 10.1158/1078-0432.CCR-15-0654

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  50 in total

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Review 8.  New Technologies for Analysis of Extracellular Vesicles.

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