[Analysis of the Tumor Immune Microenvironment of Colorectal Cancer by Deep Learning-Based Imaging Cytometry].

Journal: Gan to kagaku ryoho. Cancer & chemotherapy
Published Date: Sep 1, 2023

Abstract

The tumor immune microenvironment(TIME)of colorectal cancer contains indicators of unique therapeutic outcomes for each cancer patient. Deep learning-based imaging cytometry(DL-IC), which can obtain objective and reproducible cell- related information in tissue sections, has attracted attention as an analytical method for clarifying this indicator. This study demonstrates the validation process of Cu-Cyto, one of DL-IC, regarding cell identification accuracy. Acquisition of"spatial structure"information in TIME is useful for biomarker retrieval and contributes to precision oncology.

Authors

  • Kimihiro Yamashita
    Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Hyogo, Japan.
  • Toru Nagasaka
    Department of Pathology, Chubu Rosai Hospital, Japan Organization of Occupational Health and Safety, Nagoya, Japan.
  • Yukari Adachi
  • Tomoki Abe
    Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan.
  • Yoshihiro Kakeji
    Division of Gastrointestinal Surgery, Department of Surgery, Graduate School of Medicine, Kobe University, Kobe, Japan. kakeji@med.kobe-u.ac.jp.

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