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

Author

Listed:
  • Naofumi Asano

    (National Cancer Center Research Institute
    Keio University School of Medicine)

  • Juntaro Matsuzaki

    (National Cancer Center Research Institute)

  • Makiko Ichikawa

    (Toray Industries)

  • Junpei Kawauchi

    (Toray Industries)

  • Satoko Takizawa

    (Toray Industries)

  • Yoshiaki Aoki

    (Dynacom Co., Ltd.)

  • Hiromi Sakamoto

    (National Cancer Center Research Institute)

  • Akihiko Yoshida

    (National Cancer Center Hospital)

  • Eisuke Kobayashi

    (National Cancer Center Hospital)

  • Yoshikazu Tanzawa

    (National Cancer Center Hospital)

  • Robert Nakayama

    (Keio University School of Medicine)

  • Hideo Morioka

    (Keio University School of Medicine)

  • Morio Matsumoto

    (Keio University School of Medicine)

  • Masaya Nakamura

    (Keio University School of Medicine)

  • Tadashi Kondo

    (National Cancer Center Research Institute)

  • Ken Kato

    (National Cancer Center Hospital)

  • Naoto Tsuchiya

    (National Cancer Center Research Institute)

  • Akira Kawai

    (National Cancer Center Hospital)

  • Takahiro Ochiya

    (National Cancer Center Research Institute
    Tokyo Medical University)

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.

Suggested Citation

  • Naofumi Asano & Juntaro Matsuzaki & Makiko Ichikawa & Junpei Kawauchi & Satoko Takizawa & Yoshiaki Aoki & Hiromi Sakamoto & Akihiko Yoshida & Eisuke Kobayashi & Yoshikazu Tanzawa & Robert Nakayama & H, 2019. "A serum microRNA classifier for the diagnosis of sarcomas of various histological subtypes," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09143-8
    DOI: 10.1038/s41467-019-09143-8
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    Cited by:

    1. Zheng Jin & Shanshan Liu & Pei Zhu & Mengyan Tang & Yuanxin Wang & Yuan Tian & Dong Li & Xun Zhu & Dongmei Yan & Zhenhua Zhu, 2020. "A novel serum miRNA-pair classifier for diagnosis of sarcoma," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-9, July.

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