Xuezhi Zhou, Yizhan Lu, Yue Wu, Yi Yu, Yong Liu, Chang Wang, Zongya Zhao, Chong Wang, Zhixian Gao, Zhenxin Li, Yandong Zhao, Wuteng Cao
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). METHODS: A tissue classification model was developed to identify nine tissues (adipose, background, debris, lymphocytes, mucus, smooth muscle, normal mucosa, stroma, and tumor) in whole-slide images (WSIs) of stage III CRC patients...
April 24, 2024: European Journal of Surgical Oncology