Nature Communications (Oct 2018)
Integrated extracellular microRNA profiling for ovarian cancer screening
- Akira Yokoi,
- Juntaro Matsuzaki,
- Yusuke Yamamoto,
- Yutaka Yoneoka,
- Kenta Takahashi,
- Hanako Shimizu,
- Takashi Uehara,
- Mitsuya Ishikawa,
- Shun-ichi Ikeda,
- Takumi Sonoda,
- Junpei Kawauchi,
- Satoko Takizawa,
- Yoshiaki Aoki,
- Shumpei Niida,
- Hiromi Sakamoto,
- Ken Kato,
- Tomoyasu Kato,
- Takahiro Ochiya
Affiliations
- Akira Yokoi
- Division of Molecular and Cellular Medicine, National Cancer Center Research Institute
- Juntaro Matsuzaki
- Division of Molecular and Cellular Medicine, National Cancer Center Research Institute
- Yusuke Yamamoto
- Division of Molecular and Cellular Medicine, National Cancer Center Research Institute
- Yutaka Yoneoka
- Department of Gynecology, National Cancer Center Hospital
- Kenta Takahashi
- Department of Gynecology, National Cancer Center Hospital
- Hanako Shimizu
- Department of Gynecology, National Cancer Center Hospital
- Takashi Uehara
- Department of Gynecology, National Cancer Center Hospital
- Mitsuya Ishikawa
- Department of Gynecology, National Cancer Center Hospital
- Shun-ichi Ikeda
- Department of Gynecology, National Cancer Center Hospital
- Takumi Sonoda
- Division of Molecular and Cellular Medicine, National Cancer Center Research Institute
- Junpei Kawauchi
- New Frontiers Research Institute, Toray Industries
- Satoko Takizawa
- New Frontiers Research Institute, Toray Industries
- Yoshiaki Aoki
- Division of Bioinformatics, Dynacom Co., Ltd.
- Shumpei Niida
- Medical Genome Center, National Center for Geriatrics and Gerontology
- Hiromi Sakamoto
- Department of Clinical Genomics, Fundamental Innovative Oncology Core, National Cancer Center Research Institute
- Ken Kato
- Department of Gastrointestinal Medical Oncology, National Cancer Center Hospital
- Tomoyasu Kato
- Department of Gynecology, National Cancer Center Hospital
- Takahiro Ochiya
- Division of Molecular and Cellular Medicine, National Cancer Center Research Institute
- DOI
- https://doi.org/10.1038/s41467-018-06434-4
- Journal volume & issue
-
Vol. 9,
no. 1
pp. 1 – 10
Abstract
Screening methods for early detection of ovarian cancer is technically difficult. Here, the authors investigated circulating microRNA in human blood serum and developed a model using 10 microRNAs to discern between ovarian cancer and being ovarian tumors, solid tumors, and non-cancer patients.
