Abstract：Digital whole slide histopathology image provides a new opportunity for computerized quantitative analysis. More and more studies have shown that interactions between immune cells and cancerous cells in the tumor microenvironment is an important prognostic indicator. HPV+ oropharyngeal cancer is a common malignant tumor of head and neck. At present,there are not any ideal prognostic indicators for HPV+ oropharyngeal cancer. In this study,the computer image processing and pattern recognition technology were used to quantitatively extract the nuclear morphology from the whole slide image of digital histopathology,and the nuclear morphological features were used to measure the degree of interaction between the tumor microenvironment and the cancerous region and construct a recurrence risk model of oropharyngeal cancer. The histopathological sections and corresponding follow-up data of 234 patients with oropharyngeal cancer were collected retrospectively from the pathology files of the University of Washington Medical Center. We found out that the recurrent risk model of oropharyngeal cancer constructed by image quantitative analysis could distinguish relapsed and non-relapsed patients significantly,and the average AUC of 100-fold 5-fold cross-validated classification results reached 0.67±0.02;In univariate (HR (95%CI)=1.76 (0.99～3.13),P=0.0352) and multivariate analysis (HR (95%CI)=3.27(1.12～5.46),P=0.039),the analysis results showed that patients with oropharyngeal cancer with stronger interactions between the tumor microenvironment and the cancerous area had lower risk of recurrence and longer survival than those with low interaction. This finding revealed that the interaction between immune cells and cancerous cells in the tumor microenvironment could serve as an independent prognostic indicator to guide the treatment of oropharyngeal cancer.
张丹, 陆铖, 代才, 吴玉欣, 卢千帅, 雷秀娟. 基于数字组织病理图像的肿瘤与微环境相互作用风险模型在口咽癌症中的预后研究[J]. 中国生物医学工程学报, 2020, 39(5): 541-549.
Zhang Dan Lu Cheng, Dai Cai, Wu Yuxin, Lu Qianshuai, Lei Xiujuan. Prognostic Study of Tumor-Microenvironment Interaction Risk Model Based on Digital Histopathological Images in Oropharyngeal Cancer. Chinese Journal of Biomedical Engineering, 2020, 39(5): 541-549.
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