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
Our findings indicated that the plsRglm model based on four autoantibodies might help identify preclinical and early-stage ESCC.
Authors
- Hai-Lu Chen
- Can-Tong Liu (ORCID: https://orcid.org/0000-0001-6479-8793)
- Wenqiang Wei
- Yu‐Hui Peng (ORCID: https://orcid.org/0000-0002-1866-4679)
- Li‐Yan Xu (ORCID: https://orcid.org/0000-0002-1618-4292)
- Ling‐Yu Chu (ORCID: https://orcid.org/0000-0002-4682-0931)
- En‐Min Li (ORCID: https://orcid.org/0000-0001-6375-3614)
- Yi‐Wei Xu (ORCID: https://orcid.org/0000-0002-8670-592X)
- Fang-Cai Wu
- Hao Chen (ORCID: https://orcid.org/0000-0002-7509-5820)
- Zhi‐Yong Wu (ORCID: https://orcid.org/0000-0003-2535-1619)
Institutions
- Sun Yat-sen University (CN)
- Shantou University (CN)
- Cancer Hospital of Shantou University Medical College (CN)
- Shantou Central Hospital (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- BMC Medicine
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1186/s12916-025-04066-2
- Citations
- 5
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 10.03
Funders
- Shantou University
- National Natural Science Foundation of China
- Shantou University Medical College
- National Science and Technology Major Project
- Basic and Applied Basic Research Foundation of Guangdong Province