Selective identification of polyploid hepatocellular carcinomas with poor prognosis by artificial intelligence-based pathological image recognition.

Journal: Communications medicine
Published Date: Jul 3, 2025

Abstract

BACKGROUND: Polyploidy is frequently observed in cancer cells and is closely associated with chromosomal instability, which can lead to cancer progression. Polyploid cancers are more aggressive than diploid cancers, and polyploidy has been shown to be a prognostic marker for hepatocellular carcinoma (HCC). However, polyploidy is challenging to diagnose. Currently, no clinically implementable methods are available for diagnosing polyploidy in cancer.

Authors

  • Takanori Matsuura
    Department of Molecular Biology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
  • Masatoshi Abe
    Department of Pathology, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Yoshiyuki Harada
    Department of Molecular Biology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
  • Masahiro Kido
    Division of Hepato-Biliary-Pancreatic Surgery Department of Surgery Kobe University Graduate School of Medicine Kobe Japan.
  • Hajime Nagahara
    Institute for Datability Science, Osaka University, Suita, Osaka, Japan.
  • Yuzo Kodama
    Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
  • Yoshihide Ueda
    Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
  • Eiji Hara
    Department of Molecular Biology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
  • Hirohiko Niioka
    Graduate School of Engineering Science, Osaka University, 1-3 Machikane-Yama, Toyonaka, Osaka, 560-8531, Japan.
  • Tomonori Matsumoto
    Department of Molecular Biology, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan. matsumoto.tomonori.fbs@osaka-u.ac.jp.

Keywords

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