Serum exosomal microRNA-34a as a potential biomarker in epithelial ovarian cancer

BACKGROUND: Ovarian cancer (OC) is a leading cause of cancer-related death in women, and thus an accurate diagnosis of the predisposition and its early detection is necessary. The aims of this study were to determine whether serum exosomal microRNA-34a (miR-34a) in ovarian cancer could be used as a...

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Autores principales: Maeda, Kazuya, Sasaki, Hiroshi, Ueda, Shoko, Miyamoto, Shunsuke, Terada, Shinichi, Konishi, Hiromi, Kogata, Yuhei, Ashihara, Keisuke, Fujiwara, Satoe, Tanaka, Yoshimichi, Tanaka, Tomohito, Hayashi, Masami, Ito, Yuko, Kondo, Yoichi, Ochiya, Takahiro, Ohmichi, Masahide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184688/
https://www.ncbi.nlm.nih.gov/pubmed/32336272
http://dx.doi.org/10.1186/s13048-020-00648-1
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author Maeda, Kazuya
Sasaki, Hiroshi
Ueda, Shoko
Miyamoto, Shunsuke
Terada, Shinichi
Konishi, Hiromi
Kogata, Yuhei
Ashihara, Keisuke
Fujiwara, Satoe
Tanaka, Yoshimichi
Tanaka, Tomohito
Hayashi, Masami
Ito, Yuko
Kondo, Yoichi
Ochiya, Takahiro
Ohmichi, Masahide
author_facet Maeda, Kazuya
Sasaki, Hiroshi
Ueda, Shoko
Miyamoto, Shunsuke
Terada, Shinichi
Konishi, Hiromi
Kogata, Yuhei
Ashihara, Keisuke
Fujiwara, Satoe
Tanaka, Yoshimichi
Tanaka, Tomohito
Hayashi, Masami
Ito, Yuko
Kondo, Yoichi
Ochiya, Takahiro
Ohmichi, Masahide
author_sort Maeda, Kazuya
collection PubMed
description BACKGROUND: Ovarian cancer (OC) is a leading cause of cancer-related death in women, and thus an accurate diagnosis of the predisposition and its early detection is necessary. The aims of this study were to determine whether serum exosomal microRNA-34a (miR-34a) in ovarian cancer could be used as a potential biomarker. METHODS: Exosomes from OC patients’ serum were collected, and exosomal miRNAs were extracted. The relative expression of miR-34a was calculated from 58 OC samples by quantitative real-time polymerase chain reaction. RESULTS: Serum exosomal miR-34a levels were significantly increased in early-stage OC patients compared with advanced-stage patients. Its levels were significantly lower in patients with lymph node metastasis than in those with no lymph node metastasis. Furthermore, its levels in the recurrence group were significantly lower than those in the recurrence-free group. CONCLUSIONS: Serum exosomal miR-34a could be a potential biomarker for improving the diagnostic efficiency of OC.
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spelling pubmed-71846882020-04-30 Serum exosomal microRNA-34a as a potential biomarker in epithelial ovarian cancer Maeda, Kazuya Sasaki, Hiroshi Ueda, Shoko Miyamoto, Shunsuke Terada, Shinichi Konishi, Hiromi Kogata, Yuhei Ashihara, Keisuke Fujiwara, Satoe Tanaka, Yoshimichi Tanaka, Tomohito Hayashi, Masami Ito, Yuko Kondo, Yoichi Ochiya, Takahiro Ohmichi, Masahide J Ovarian Res Research BACKGROUND: Ovarian cancer (OC) is a leading cause of cancer-related death in women, and thus an accurate diagnosis of the predisposition and its early detection is necessary. The aims of this study were to determine whether serum exosomal microRNA-34a (miR-34a) in ovarian cancer could be used as a potential biomarker. METHODS: Exosomes from OC patients’ serum were collected, and exosomal miRNAs were extracted. The relative expression of miR-34a was calculated from 58 OC samples by quantitative real-time polymerase chain reaction. RESULTS: Serum exosomal miR-34a levels were significantly increased in early-stage OC patients compared with advanced-stage patients. Its levels were significantly lower in patients with lymph node metastasis than in those with no lymph node metastasis. Furthermore, its levels in the recurrence group were significantly lower than those in the recurrence-free group. CONCLUSIONS: Serum exosomal miR-34a could be a potential biomarker for improving the diagnostic efficiency of OC. BioMed Central 2020-04-26 /pmc/articles/PMC7184688/ /pubmed/32336272 http://dx.doi.org/10.1186/s13048-020-00648-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Maeda, Kazuya
Sasaki, Hiroshi
Ueda, Shoko
Miyamoto, Shunsuke
Terada, Shinichi
Konishi, Hiromi
Kogata, Yuhei
Ashihara, Keisuke
Fujiwara, Satoe
Tanaka, Yoshimichi
Tanaka, Tomohito
Hayashi, Masami
Ito, Yuko
Kondo, Yoichi
Ochiya, Takahiro
Ohmichi, Masahide
Serum exosomal microRNA-34a as a potential biomarker in epithelial ovarian cancer
title Serum exosomal microRNA-34a as a potential biomarker in epithelial ovarian cancer
title_full Serum exosomal microRNA-34a as a potential biomarker in epithelial ovarian cancer
title_fullStr Serum exosomal microRNA-34a as a potential biomarker in epithelial ovarian cancer
title_full_unstemmed Serum exosomal microRNA-34a as a potential biomarker in epithelial ovarian cancer
title_short Serum exosomal microRNA-34a as a potential biomarker in epithelial ovarian cancer
title_sort serum exosomal microrna-34a as a potential biomarker in epithelial ovarian cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7184688/
https://www.ncbi.nlm.nih.gov/pubmed/32336272
http://dx.doi.org/10.1186/s13048-020-00648-1
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