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Identification of developmental endothelial locus-1 on circulating extracellular vesicles as a novel biomarker for early breast cancer detection

  • Pyong Gon Moon
  • , Jeong Eun Lee
  • , Young Eun Cho
  • , Soo Jung Lee
  • , Jin Hyang Jung
  • , Yee Soo Chae
  • , Han Ik Bae
  • , Young Bum Kim
  • , In San Kim
  • , Ho Yong Park
  • , Moon Chang Baek
  • Kyungpook National University
  • Harvard University

Research output: Contribution to journalArticlepeer-review

197 Scopus citations

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 ELISAswere used tomeasureDel-1 in plasma samples fromhealthy 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.

Original languageEnglish
Pages (from-to)1757-1766
Number of pages10
JournalClinical Cancer Research
Volume22
Issue number7
DOIs
StatePublished - 1 Apr 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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