A multi-classifier system integrated by clinico-histology-genomic analysis for predicting recurrence of papillary renal cell carcinoma

Kang-Bo Huang, Cheng-Peng Gui, Yun-Ze Xu, Xue-Song Li, Hong-Wei Zhao, Jia-Zheng Cao, Yu-Hang Chen, Yi-Hui Pan, Bing Liao, Yun Cao, Xin-Ke Zhang, Hui Han, Fang-Jian Zhou, Ran-Yi Liu, Wen-Fang Chen, Ze-Ying Jiang, Zi-Hao Feng, Fu-Neng Jiang, Yan-Fei Yu, Sheng-Wei Xiong, Guan-Peng Han, Qi Tang, Kui Ouyang, Gui-Mei Qu, Ji-Tao Wu, Ming Cao, Bai-Jun Dong, Yi-Ran Huang, Jin Zhang, Cai-Xia Li, Pei-Xing Li, Wei Chen, Wei- De Zhong, Jian-Ping Guo, Zhi-Ping Liu, Jer-Tsong Hsieh, Dan Xie, Mu-Yan Cai, Wei Xue (), Jin-Huan Wei () and Jun-Hang Luo ()
Additional contact information
Kang-Bo Huang: Sun Yat-sen University
Cheng-Peng Gui: Sun Yat-sen University
Yun-Ze Xu: Shanghai Jiao Tong University
Xue-Song Li: Peking University, National Urological Cancer Center
Hong-Wei Zhao: Qingdao University
Jia-Zheng Cao: Sun Yat-sen University
Yu-Hang Chen: Sun Yat-sen University
Yi-Hui Pan: The Third Affiliated Hospital of Soochow University
Bing Liao: Sun Yat-sen University
Yun Cao: Sun Yat-sen University Cancer center
Xin-Ke Zhang: Sun Yat-sen University Cancer center
Hui Han: Sun Yat-sen University Cancer center
Fang-Jian Zhou: Sun Yat-sen University Cancer center
Ran-Yi Liu: Sun Yat-sen University Cancer center
Wen-Fang Chen: Sun Yat-sen University
Ze-Ying Jiang: Sun Yat-sen University
Zi-Hao Feng: Sun Yat-sen University
Fu-Neng Jiang: South China University of Technology
Yan-Fei Yu: Peking University, National Urological Cancer Center
Sheng-Wei Xiong: Peking University, National Urological Cancer Center
Guan-Peng Han: Peking University, National Urological Cancer Center
Qi Tang: Peking University, National Urological Cancer Center
Kui Ouyang: Qingdao University
Gui-Mei Qu: Qingdao University
Ji-Tao Wu: Qingdao University
Ming Cao: Shanghai Jiao Tong University
Bai-Jun Dong: Shanghai Jiao Tong University
Yi-Ran Huang: Shanghai Jiao Tong University
Jin Zhang: Shanghai Jiao Tong University
Cai-Xia Li: Sun Yat-sen University
Pei-Xing Li: Sun Yat-sen University
Wei Chen: Sun Yat-sen University
Wei- De Zhong: South China University of Technology
Jian-Ping Guo: Sun Yat-sen University
Zhi-Ping Liu: University of Texas Southwestern Medical Center at Dallas
Jer-Tsong Hsieh: University of Texas Southwestern Medical Center at Dallas
Dan Xie: Sun Yat-sen University Cancer center
Mu-Yan Cai: Sun Yat-sen University Cancer center
Wei Xue: Shanghai Jiao Tong University
Jin-Huan Wei: Sun Yat-sen University
Jun-Hang Luo: Sun Yat-sen University

Nature Communications, 2024, vol. 15, issue 1, 1-12

Abstract: Abstract Integrating genomics and histology for cancer prognosis demonstrates promise. Here, we develop a multi-classifier system integrating a lncRNA-based classifier, a deep learning whole-slide-image-based classifier, and a clinicopathological classifier to accurately predict post-surgery localized (stage I–III) papillary renal cell carcinoma (pRCC) recurrence. The multi-classifier system demonstrates significantly higher predictive accuracy for recurrence-free survival (RFS) compared to the three single classifiers alone in the training set and in both validation sets (C-index 0.831-0.858 vs. 0.642-0.777, p

Date: 2024
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DOI: 10.1038/s41467-024-50369-y

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