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Multi-miRNA panel of tumor-derived extracellular vesicles as promising diagnostic biomarkers of early-stage breast cancer.
Kim, Min Woo; Park, Sunyoung; Lee, Hyojung; Gwak, Hogyeong; Hyun, Kyung-A; Kim, Jee Ye; Jung, Hyo-Il; Il Kim, Seung.
Afiliação
  • Kim MW; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Park S; School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
  • Lee H; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Gwak H; School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
  • Hyun KA; School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
  • Kim JY; Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Jung HI; School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
  • Il Kim S; Yonsei University College of Medicine, Seoul, Republic of Korea.
Cancer Sci ; 112(12): 5078-5087, 2021 Dec.
Article em En | MEDLINE | ID: mdl-34626053
ABSTRACT
Extracellular vesicles (EV) have been emerging as potential biomarkers for disease monitoring. In particular, tumor-derived EV (TDE) are known to carry oncogenic miRNA, so they can be used for diagnosis of early cancer by analyzing the expression levels of EV-miRNA circulating in the blood. Here, using our novel microfluidic device, we rapidly and selectively isolate cancerous EV expressing breast cancer-derived surface markers CD49f and EpCAM within 2 minutes. Based on seven candidates of miRNA nominated from The Cancer Genome Atlas (TCGA) database, the expression levels of miRNA in TDE were validated in a total of 82 individuals, including 62 breast cancer patients and 20 healthy controls. Among seven candidates, four miRNAs (miR-9, miR-16, miR-21, and miR-429) from the EV were highly elevated in early-stage breast cancer patients compared with healthy donors. The combination of significant miRNAs from specific EV has high sensitivities of 0.90, 0.86, 0.88, and 0.84 of the area under the receiver operating characteristic curve (AUC) in each subtype (luminal A, luminal B, HER-2, and triple-negative) of early-stage breast cancer. Our results suggest that the combination of four miRNA signatures of specific EV could serve as a sensitive and specific biomarker and enable early diagnosis of breast cancer using liquid biopsy.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Regulação para Cima / MicroRNAs / Vesículas Extracelulares Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Cancer Sci Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Neoplasias da Mama / Regulação para Cima / MicroRNAs / Vesículas Extracelulares Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies / Screening_studies Limite: Female / Humans Idioma: En Revista: Cancer Sci Ano de publicação: 2021 Tipo de documento: Article