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Article Open Access

MicroRNA profiling of plasma exosomes from patients with ovarian cancer using high‑throughput sequencing

  • Authors:
    • Honghong Zhang
    • Sijuan Xu
    • Xiaoli Liu
  • View Affiliations / Copyright

    Affiliations: Maternal Intensive Care Unit, Gansu Provincial Maternity and Child‑Care Hospital, Lanzhou, Gansu 730050, P.R. China, Center of Reproductive Medicine, Gansu Provincial Maternity and Child‑Care Hospital, Lanzhou, Gansu 730050, P.R. China
    Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 5601-5607
    |
    Published online on: April 5, 2019
       https://doi.org/10.3892/ol.2019.10220
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Abstract

To the best of our knowledge, the microRNA (miR/miRNA) expression profile of plasma exosomes in ovarian cancer has not been previously studied. The aim of the present study was to investigate the practicality of using plasma exosomal miRNAs as novel serological biomarkers of ovarian cancer. In the study, exosome‑like vesicles were purified from the plasma of patients with ovarian cancer and healthy women using differential centrifugation. The purified vesicles, ranging from 50‑100 nm in size, were identified as exosomes by transmission electron microscopy and western blotting. High‑throughput sequencing demonstrated that 65 known miRNAs, 34 of which were upregulated and 31 downregulated, were differentially expressed between patients with ovarian cancer and healthy women (P<0.05; fold change ≥2). The miRNA expression levels of hsa‑miR‑106a‑5p, hsa‑let‑7d‑5p and hsa‑miR‑93‑5p were significantly increased, whereas hsa‑miR‑122‑5p, hsa‑miR‑185‑5p and hsa‑miR‑99b‑5p expression levels were significantly decreased in the exosomes of patients with ovarian cancer compared with those in the healthy controls. Additionally, the miRNA expression levels of plasma hsa‑miR‑93‑5p were significantly increased in patients with ovarian cancer compared with those in the healthy controls, while the plasma expression levels of hsa‑miR‑122‑5p and hsa‑miR‑99b‑5p were significantly decreased in patients with ovarian cancer compared with those in the healthy controls. Overall, the present study identified plasma and exosomal miRNAs with dysregulated expression in patients with ovarian cancer compared with that in healthy controls, and the differentially expressed miRNAs may have potential as diagnostic and prognostic targets for the treatment of patients with ovarian cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Zhang H, Xu S and Liu X: MicroRNA profiling of plasma exosomes from patients with ovarian cancer using high‑throughput sequencing. Oncol Lett 17: 5601-5607, 2019.
APA
Zhang, H., Xu, S., & Liu, X. (2019). MicroRNA profiling of plasma exosomes from patients with ovarian cancer using high‑throughput sequencing. Oncology Letters, 17, 5601-5607. https://doi.org/10.3892/ol.2019.10220
MLA
Zhang, H., Xu, S., Liu, X."MicroRNA profiling of plasma exosomes from patients with ovarian cancer using high‑throughput sequencing". Oncology Letters 17.6 (2019): 5601-5607.
Chicago
Zhang, H., Xu, S., Liu, X."MicroRNA profiling of plasma exosomes from patients with ovarian cancer using high‑throughput sequencing". Oncology Letters 17, no. 6 (2019): 5601-5607. https://doi.org/10.3892/ol.2019.10220
Copy and paste a formatted citation
x
Spandidos Publications style
Zhang H, Xu S and Liu X: MicroRNA profiling of plasma exosomes from patients with ovarian cancer using high‑throughput sequencing. Oncol Lett 17: 5601-5607, 2019.
APA
Zhang, H., Xu, S., & Liu, X. (2019). MicroRNA profiling of plasma exosomes from patients with ovarian cancer using high‑throughput sequencing. Oncology Letters, 17, 5601-5607. https://doi.org/10.3892/ol.2019.10220
MLA
Zhang, H., Xu, S., Liu, X."MicroRNA profiling of plasma exosomes from patients with ovarian cancer using high‑throughput sequencing". Oncology Letters 17.6 (2019): 5601-5607.
Chicago
Zhang, H., Xu, S., Liu, X."MicroRNA profiling of plasma exosomes from patients with ovarian cancer using high‑throughput sequencing". Oncology Letters 17, no. 6 (2019): 5601-5607. https://doi.org/10.3892/ol.2019.10220
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