A serum microRNA classifier for the diagnosis of sarcomas of various histological subtypes

Naofumi Asano, Juntaro Matsuzaki, Makiko Ichikawa, Junpei Kawauchi, Satoko Takizawa, Yoshiaki Aoki, Hiromi Sakamoto, Akihiko Yoshida, Eisuke Kobayashi, Yoshikazu Tanzawa, Robert Nakayama, Hideo Morioka, Morio Matsumoto, Masaya Nakamura, Tadashi Kondo, Ken Kato, Naoto Tsuchiya, Akira Kawai, Takahiro Ochiya

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)

Abstract

Due to their rarity and diversity, sarcomas are difficult to diagnose. Consequently, there is an urgent demand for a novel diagnostic test for these cancers. In this study, we investigated serum miRNA profiles from 1002 patients with bone and soft tissue tumors representing more than 43 histological subtypes, including sarcomas, intermediate tumors, and benign tumors, to determine whether serum miRNA profiles could be used to specifically detect sarcomas. Circulating serum miRNA profiles in sarcoma patients were clearly distinct from those in patients with other types of tumors. Using the serum levels of seven miRNAs, we developed a molecular detector, Index VI, that could distinguish sarcoma patients from benign and healthy controls with remarkably high sensitivity (90%) and specificity (95%), regardless of histological subtype. Index VI provides an approach to the early and precise detection of sarcomas, potentially leading to curative treatment and longer survival.

Original languageEnglish
Article number1299
JournalNature communications
Volume10
Issue number1
DOIs
Publication statusPublished - 2019 Dec 1

ASJC Scopus subject areas

  • General
  • Physics and Astronomy(all)
  • Chemistry(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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