Artificial intelligence defines protein-based classification of thyroid nodules
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Published:2022-09-06
Issue:1
Volume:8
Page:
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ISSN:2056-5968
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Container-title:Cell Discovery
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language:en
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Short-container-title:Cell Discov
Author:
Sun YaotingORCID, Selvarajan Sathiyamoorthy, Zang ZelinORCID, Liu Wei, Zhu YiORCID, Zhang Hao, Chen Wanyuan, Chen Hao, Li Lu, Cai Xue, Gao Huanhuan, Wu Zhicheng, Zhao Yongfu, Chen Lirong, Teng Xiaodong, Mantoo Sangeeta, Lim Tony Kiat-Hon, Hariraman Bhuvaneswari, Yeow Serene, Alkaff Syed Muhammad Fahmy, Lee Sze Sing, Ruan Guan, Zhang Qiushi, Zhu Tiansheng, Hu Yifan, Dong ZhenORCID, Ge Weigang, Xiao Qi, Wang Weibin, Wang Guangzhi, Xiao Junhong, He Yi, Wang Zhihong, Sun Wei, Qin Yuan, Zhu Jiang, Zheng Xu, Wang Linyan, Zheng Xi, Xu Kailun, Shao YingkuanORCID, Zheng ShuORCID, Liu Kexin, Aebersold RuediORCID, Guan Haixia, Wu Xiaohong, Luo Dingcun, Tian Wen, Li Stan ZiqingORCID, Kon Oi Lian, Iyer Narayanan GopalakrishnaORCID, Guo TiannanORCID
Abstract
AbstractDetermination of malignancy in thyroid nodules remains a major diagnostic challenge. Here we report the feasibility and clinical utility of developing an AI-defined protein-based biomarker panel for diagnostic classification of thyroid nodules: based initially on formalin-fixed paraffin-embedded (FFPE), and further refined for fine-needle aspiration (FNA) tissue specimens of minute amounts which pose technical challenges for other methods. We first developed a neural network model of 19 protein biomarkers based on the proteomes of 1724 FFPE thyroid tissue samples from a retrospective cohort. This classifier achieved over 91% accuracy in the discovery set for classifying malignant thyroid nodules. The classifier was externally validated by blinded analyses in a retrospective cohort of 288 nodules (89% accuracy; FFPE) and a prospective cohort of 294 FNA biopsies (85% accuracy) from twelve independent clinical centers. This study shows that integrating high-throughput proteomics and AI technology in multi-center retrospective and prospective clinical cohorts facilitates precise disease diagnosis which is otherwise difficult to achieve by other methods.
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Cell Biology,Genetics,Molecular Biology,Biochemistry
Reference53 articles.
1. Burman, K. D. & Wartofsky, L. Clinical practice. Thyroid nodules. N. Engl. J. Med. 373, 2347–2356 (2015). 2. Jameson, J. L. Minimizing unnecessary surgery for thyroid nodules. N. Engl. J. Med. 367, 765–767 (2012). 3. Faquin, W. C., Bongiovanni, M. & Sadow, P. M. Update in thyroid fine needle aspiration. Endocr. Pathol. 22, 178–183 (2011). 4. Alexander, E. K. et al. Preoperative diagnosis of benign thyroid nodules with indeterminate cytology. N. Engl. J. Med. 367, 705–715 (2012). 5. Ahn, H. S., Kim, H. J. & Welch, H. G. Korea’s thyroid-cancer “epidemic”—screening and overdiagnosis. N. Engl. J. Med. 371, 1765–1767 (2014).
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