Utility of comprehensive genomic profiling combined with machine learning for prognostic stratification in stage II/III colorectal cancer after adjuvant chemotherapy.

Journal: International journal of clinical oncology
PMID: 40095334

Abstract

BACKGROUND AND PURPOSE: Accurate recurrence risk evaluation in patients with stage II and III colorectal cancer (CRC) remains difficult. Traditional histopathological methods frequently fall short in predicting outcomes after adjuvant chemotherapy. This study aims to evaluate the use of comprehensive genomic profiling combined with machine learning for prognostic risk stratification in patients with CRC.

Authors

  • Yosuke Kobayashi
    Department of Surgery, Fujita Health University, Toyoake, Japan.
  • Yoshiyuki Suzuki
    Matsushima Hospital, Kanagawa, 220-0041, Japan.
  • Ryo Seishima
    Department of Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan. ryo.seishima@fujita-hu.ac.jp.
  • Yuko Chikaishi
    Department of Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan.
  • Hiroshi Matsuoka
    Department of Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan.
  • Kohei Nakamura
    Center for Cancer Genomics, Keio University School of Medicine, Tokyo, 160-8582, Japan.
  • Kohei Shigeta
    Department of Surgery, Keio University School of Medicine, Tokyo, 160‑8582, Japan.
  • Koji Okabayashi
    Department of Surgery, Keio University School of Medicine, Tokyo, 160‑8582, Japan.
  • Junichiro Hiro
    Department of Surgery, Fujita Health University, Toyoake, Japan.
  • Koki Otsuka
    Department of Advanced Robotic and Endoscopic Surgery, Fujita Health University, Toyoake, Japan.
  • Ichiro Uyama
  • Hideyuki Saya
    Division of Gene Regulation, Oncology Innovation Center, Fujita Health University, Toyoake, Aichi, 470-1192, Japan.
  • Hiroshi Nishihara
    Center for Cancer Genomics, Keio University School of Medicine, Tokyo, 160-8582, Japan.
  • Koichi Suda
    Division of Upper GI, Department of Surgery, Fujita Health University, 1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi, 470-1192, Japan, ko-suda@nifty.com.
  • Yuko Kitagawa
    Department of Surgery Keio University School of Medicine Tokyo Japan.

Keywords

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