Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case–control study

Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case–control study

Abstract Background Autoantibodies represent promising diagnostic blood-based biomarkers that may be generated prior to the first clinically detectable signs of cancers. In present study, we aimed to identify a novel optimized autoantibody panel with high diagnostic accuracy for clinical and preclin...

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Main Authors: Yi-Wei Xu, Yu-Hui Peng, Can-Tong Liu, Hao Chen, Ling-Yu Chu, Hai-Lu Chen, Zhi-Yong Wu, Wen-Qiang Wei, Li-Yan Xu, Fang-Cai Wu, En-Min Li
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Medicine
Subjects:
Autoantibody
Esophageal cancer
Early detection
Machine learning
Online Access:https://doi.org/10.1186/s12916-025-04066-2
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https://doi.org/10.1186/s12916-025-04066-2

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