An artificial intelligence-based ecological index for prognostic evaluation of colorectal cancer.

Journal: BMC cancer
Published Date: Aug 17, 2023

Abstract

BACKGROUND AND OBJECTIVE: In the tumor microenvironment (TME), the dynamic interaction between tumor cells and immune cells plays a critical role in predicting the prognosis of colorectal cancer. This study introduces a novel approach based on artificial intelligence (AI) and immunohistochemistry (IHC)-stained whole-slide images (WSIs) of colorectal cancer (CRC) patients to quantitatively assess the spatial associations between tumor cells and immune cells. To achieve this, we employ the Morisita-Horn ecological index (Mor-index), which allows for a comprehensive analysis of the spatial distribution patterns between tumor cells and immune cells within the TME.

Authors

  • Qicong Chen
    Institute of Computing Science and Technology, Guangzhou University, No. 230, Outer Ring West Road, Guangzhou, 510006, China.
  • Ming Cai
    Department of Orthopedics, Shanghai Tenth People's Hospital, Tongji University, School of Medicine, Shanghai, 200072, P.R.China.cmdoctor@tongji.edu.cn.
  • Xinjuan Fan
    Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, China. Electronic address: fanxjuan@mail.sysu.edu.cn.
  • Wenbin Liu
    Department of Radiology, Changhai Hospital.
  • Gang Fang
    Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA.
  • Su Yao
    Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Yao Xu
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Qian Li
    Emergency and Critical Care Center, Department of Emergency Medicine, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang, China.
  • Yingnan Zhao
    Institute of Computing Science and Technology, Guangzhou University, No. 230, Outer Ring West Road, Guangzhou, 510006, China.
  • Ke Zhao
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Zaiyi Liu
    Department of Radiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
  • Zhihua Chen
    Institute of Computing Science and Technology, Guangzhou University, Guangzhou, China.

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