Histopathological characteristics and artificial intelligence for predicting tumor mutational burden-high colorectal cancer.

Journal: Journal of gastroenterology
Published Date: Jun 1, 2021

Abstract

BACKGROUND: Tumor mutational burden-high (TMB-H), which is detected with gene panel testing, is a promising biomarker for immune checkpoint inhibitors (ICIs) in colorectal cancer (CRC). However, in clinical practice, not every patient is tested for TMB-H using gene panel testing. We aimed to identify the histopathological characteristics of TMB-H CRC for efficient selection of patients who should undergo gene panel testing. Moreover, we attempted to develop a convolutional neural network (CNN)-based algorithm to predict TMB-H CRC directly from hematoxylin and eosin (H&E) slides.

Authors

  • Yoshifumi Shimada
  • Shujiro Okuda
    Division of Cancer Genome Informatics, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata, 951-8510, Japan. okd@med.niigata-u.ac.jp.
  • Yu Watanabe
    Division of Bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata, Niigata, 951-8510, Japan.
  • Yosuke Tajima
    Division of Digestive and General Surgery, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata, Niigata, 951-8510, Japan.
  • Masayuki Nagahashi
  • Hiroshi Ichikawa
  • Masato Nakano
  • Jun Sakata
  • Yasumasa Takii
    Department of Surgery, Niigata Cancer Center Hospital, Niigata, Japan.
  • Takashi Kawasaki
    Department of Pathology, Niigata Cancer Center Hospital, Niigata, Japan.
  • Kei-Ichi Homma
    Department of Pathology, Niigata Cancer Center Hospital, Niigata, Japan.
  • Tomohiro Kamori
    Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Eiji Oki
    Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Yiwei Ling
    Division of Bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata, Niigata, 951-8510, Japan.
  • Shiho Takeuchi
    Division of Cancer Genome Informatics, Niigata University Graduate School of Medical and Dental Sciences, 1-757 Asahimachi-dori, Chuo-ku, Niigata, 951-8510, Japan.
  • Toshifumi Wakai

Keywords

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