Development of a deep pathomics score for predicting hepatocellular carcinoma recurrence after liver transplantation.

Autor: Qu WF; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Tian MX; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China., Lu HW; School of Information Science and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China., Zhou YF; Department of Immunology and Pathogenic Biology, School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, Shanghai, China., Liu WR; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Tang Z; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Yao Z; School of Information Science and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China., Huang R; Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China., Zhu GQ; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Jiang XF; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Tao CY; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Fang Y; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Gao J; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Wu XL; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Chen JF; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Zhao QF; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Yang R; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Chu TH; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Zhou J; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Fan J; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China., Yu JH; School of Information Science and Technology, Fudan University, 220 Handan Road, Shanghai, 200433, China. jhyu@fudan.edu.cn., Shi YH; Key Laboratory of Carcinogenesis and Cancer Invasion of Ministry of Education, Department of Liver Surgery, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, China. shi.yinghong@zs-hospital.sh.cn.; Research Unit of Liver Cancer Recurrence and Metastasis, Chinese Academy of Medical Sciences, Beijing, China. shi.yinghong@zs-hospital.sh.cn.
Jazyk: angličtina
Zdroj: Hepatology international [Hepatol Int] 2023 Aug; Vol. 17 (4), pp. 927-941. Date of Electronic Publication: 2023 Apr 08.
DOI: 10.1007/s12072-023-10511-2
Abstrakt: Background and Purpose: Tumor recurrence after liver transplantation (LT) impedes the curative chance for hepatocellular carcinoma (HCC) patients. This study aimed to develop a deep pathomics score (DPS) for predicting tumor recurrence after liver transplantation using deep learning.
Patients and Methods: Two datasets of 380 HCC patients who underwent LT were enrolled. Residual convolutional neural networks were used to identify six histological structures of HCC. The individual risk score of each structure and DPS were derived by a modified DeepSurv network. Cox regression analysis and Concordance index were used to evaluate the prognostic significance. The cellular exploration of prognostic immune biomarkers was performed by quantitative and spatial proximity analysis according to three panels of 7-color immunofluorescence.
Results: The overall classification accuracy of HCC tissue was 97%. At the structural level, immune cells were the most significant tissue category for predicting post-LT recurrence (HR 1.907, 95% CI 1.490-2.440). The C-indices of DPS achieved 0.827 and 0.794 in the training and validation cohorts, respectively. Multivariate analysis for recurrence-free survival (RFS) showed that DPS (HR 4.795, 95% CI 3.017-7.619) was an independent risk factor. Patients in the high-risk subgroup had a shorter RFS, larger tumor diameter and a lower proportion of clear tumor borders. At the cellular level, a higher infiltration of intratumoral NK cells was negatively correlated with recurrence risk.
Conclusions: This study established an effective DPS. Immune cells were the most significant histological structure related to HCC recurrence. DPS performed well in post-LT recurrence prediction and the identification of clinicopathological features.
(© 2023. The Author(s).)
Databáze: MEDLINE
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