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Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis

  • Authors:
    • Takanobu Jotatsu
    • Hiroto Izumi
    • Yasuo Morimoto
    • Kazuhiro Yatera
  • View Affiliations / Copyright

    Affiliations: Department of Respiratory Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka 807‑8555, Japan, Department of Occupational Pneumology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Kitakyushu, Fukuoka 807‑8555, Japan
    Copyright: © Jotatsu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 2198-2210
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    Published online on: September 22, 2020
       https://doi.org/10.3892/or.2020.7778
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Abstract

Malignant pleural mesothelioma (MPM) is a malignant tumor which is a challenge for diagnosis and is associated with a poor patient prognosis. Thus, early diagnostic interventions will improve the quality of life and life expectancy of these patients. Recently, cellular microRNAs (miRNAs) have been found to be involved in maintaining homeostasis, and abnormal miRNA expression has often been observed in various diseases including cancer. Extracellular vesicles (EVs) released by many cells contain proteins and nucleic acids. miRNAs are secreted from all cells via EVs and circulate throughout the body. In this study, culture media were passed sequentially through membrane filters 220‑50 nm in size, and EVs with diameters of 50 to 220 nm (EVcap50/220) were collected. miRNAs (EV50‑miRNAs) in EVcap50/220 were purified, and microarray analysis was performed. EV50‑miRNA expression profiles were compared between MPM cells and a normal pleural mesothelial cell line, and six EV50‑miRNAs were selected for further investigation. Of these, hsa‑miR‑193a‑5p and hsa‑miR‑551b‑5p demonstrated higher expression in MPM‑derived EVcap50/220. These miRNAs reduced the expression of several genes involved in cell‑cell interactions and cell‑matrix interactions in normal pleural mesothelial cells. Our data suggest that hsa‑miR‑193a‑5p and hsa‑miR‑551b‑5p in EVcap50/220 could be diagnostic markers for MPM.
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Copy and paste a formatted citation
Spandidos Publications style
Jotatsu T, Izumi H, Morimoto Y and Yatera K: Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis. Oncol Rep 44: 2198-2210, 2020.
APA
Jotatsu, T., Izumi, H., Morimoto, Y., & Yatera, K. (2020). Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis. Oncology Reports, 44, 2198-2210. https://doi.org/10.3892/or.2020.7778
MLA
Jotatsu, T., Izumi, H., Morimoto, Y., Yatera, K."Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis". Oncology Reports 44.5 (2020): 2198-2210.
Chicago
Jotatsu, T., Izumi, H., Morimoto, Y., Yatera, K."Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis". Oncology Reports 44, no. 5 (2020): 2198-2210. https://doi.org/10.3892/or.2020.7778
Copy and paste a formatted citation
x
Spandidos Publications style
Jotatsu T, Izumi H, Morimoto Y and Yatera K: Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis. Oncol Rep 44: 2198-2210, 2020.
APA
Jotatsu, T., Izumi, H., Morimoto, Y., & Yatera, K. (2020). Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis. Oncology Reports, 44, 2198-2210. https://doi.org/10.3892/or.2020.7778
MLA
Jotatsu, T., Izumi, H., Morimoto, Y., Yatera, K."Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis". Oncology Reports 44.5 (2020): 2198-2210.
Chicago
Jotatsu, T., Izumi, H., Morimoto, Y., Yatera, K."Selection of microRNAs in extracellular vesicles for diagnosis of malignant pleural mesothelioma by in vitro analysis". Oncology Reports 44, no. 5 (2020): 2198-2210. https://doi.org/10.3892/or.2020.7778
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