Development and validation of a tumor marker-based model for the prediction of lung cancer: an analysis of a multicenter retrospective study in Shanghai, China
Combined prediction models based on CEA, CA199, CA211, SCC, and NSE biomarkers could significantly the differentiation between benign and malignant lung diseases, thus facilitating better clinical decision making.
Authors
- Jianjun Xu (ORCID: https://orcid.org/0000-0002-4668-8395)
- Yunzhe Wang (ORCID: https://orcid.org/0000-0003-0599-6989)
- Dongliang Yu (ORCID: https://orcid.org/0000-0003-3626-0296)
- Guiping Luo
- Bingen Wan
- Sheng Hu (ORCID: https://orcid.org/0000-0002-2709-6976)
- Shengyu Qiu
- Haochuan Ma (ORCID: https://orcid.org/0000-0002-7663-120X)
- Jiayue Ye (ORCID: https://orcid.org/0000-0002-0371-0660)
- Xinliang Liu (ORCID: https://orcid.org/0000-0002-8636-9356)
- Wenxiong Zhang (ORCID: https://orcid.org/0000-0003-2962-0847)
- Qiang Guo (ORCID: https://orcid.org/0000-0002-3524-6823)
- Linxiang Zeng
- Yiping Wei (ORCID: https://orcid.org/0000-0002-7272-1339)
- Manyu Zhang
Institutions
- Nanchang University (CN)
- Second Affiliated Hospital of Nanchang University (CN)
- Third Affiliated Hospital of Nanchang University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-10-31
- DOI
- https://doi.org/10.3389/fonc.2024.1427170
- Citations
- 1
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- National Natural Science Foundation of China
- Nanchang University
- Shanghai Jiao Tong University
- Jiangxi Provincial Department of Science and Technology
- Key Research and Development Program of Jiangxi Province