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

Research output: Contribution to journalArticlepeer-review

195 Citations (Scopus)


A major obstacle to improving prognoses in ovarian cancer is the lack of effective screening methods for early detection. Circulating microRNAs (miRNAs) have been recognized as promising biomarkers that could lead to clinical applications. Here, to develop an optimal detection method, we use microarrays to obtain comprehensive miRNA profiles from 4046 serum samples, including 428 patients with ovarian tumors. A diagnostic model based on expression levels of ten miRNAs is constructed in the discovery set. Validation in an independent cohort reveals that the model is very accurate (sensitivity, 0.99; specificity, 1.00), and the diagnostic accuracy is maintained even in early-stage ovarian cancers. Furthermore, we construct two additional models, each using 9–10 serum miRNAs, aimed at discriminating ovarian cancers from the other types of solid tumors or benign ovarian tumors. Our findings provide robust evidence that the serum miRNA profile represents a promising diagnostic biomarker for ovarian cancer.

Original languageEnglish
Article number4319
JournalNature communications
Issue number1
Publication statusPublished - 2018 Dec 1
Externally publishedYes

ASJC Scopus subject areas

  • General
  • General Physics and Astronomy
  • General Chemistry
  • General Biochemistry,Genetics and Molecular Biology


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