Construction and validation of a deep learning prognostic model based on digital pathology images of stage III colorectal cancer.

Journal: European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Published Date: Apr 24, 2024

Abstract

BACKGROUND: TNM staging is the main reference standard for prognostic prediction of colorectal cancer (CRC), but the prognosis heterogeneity of patients with the same stage is still large. This study aimed to classify the tumor microenvironment of patients with stage III CRC and quantify the classified tumor tissues based on deep learning to explore the prognostic value of the developed tumor risk signature (TRS).

Authors

  • Xuezhi Zhou
    College of Medical Engineering, Xinxiang Medical University, Xinxiang, 453000, People's Republic of China.
  • Yizhan Lu
    College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan, China; Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China; Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China.
  • Yue Wu
    Key Laboratory of Luminescence and Real-Time Analytical Chemistry (Ministry of Education), College of Pharmaceutical Sciences, Southwest University, Chongqing 400716, China.
  • Yi Yu
    Center of Reproductive Medicine, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang 315100， China.
  • Yong Liu
    Department of Critical care medicine, Shenzhen Hospital, Southern Medical University, Guangdong, Shenzhen, China.
  • Chang Wang
    Key Laboratory of the plateau of environmental damage control, Lanzhou General Hospital of Lanzhou Military Command, Lanzhou, China.
  • Zongya Zhao
    College of Medical Engineering, Xinxiang Medical University, Xinxiang, Henan, China; Engineering Technology Research Center of Neurosense and Control of Henan Province, Xinxiang, China; Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design, Xinxiang, China.
  • Chong Wang
    Shandong Xinhua Pharmaceutical Co., Ltd., No. 1, Lu Tai Road, High Tech Zone, Zibo 255199, China.
  • Zhixian Gao
    Tianjin Key Laboratory of Risk Assessment and Control Technology for Environment and Food Safety, Tianjin Institute of Environmental and Operational Medicine, Tianjin, 300050, PR China. Electronic address: gaozhx@163.com.
  • Zhenxin Li
    Tianjin University, School of Materials Science and Engineering, CHINA.
  • Yandong Zhao
    School of Technology, Beijing Forestry University, Beijing 100083, China.
  • Wuteng Cao
    Department of Colorectal Surgery, Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Department of Radiology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.

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