Identification of thyroid cancer biomarkers using WGCNA and machine learning
Through bioinformatics and experimental validation, we identified P4HA2 as a key potential thyroid cancer biomarker. This finding provides new molecular targets for diagnosis and treatment. P4HA2 has the potential to be a diagnostic or therapeutic target, which could have significant implications for improving clinical outcomes in thyroid cancer patients.
Authors
- Gaofeng Hu
- Jiaming Ge
- Shang Ma
- Wenyuan Niu (ORCID: https://orcid.org/0000-0002-8745-6136)
- Mengjia Li (ORCID: https://orcid.org/0000-0002-0336-5166)
- Qinglin Li (ORCID: https://orcid.org/0000-0001-8469-0923)
- Jie Xuan
- Yanyang Liu
- Yuanqiang Li (ORCID: https://orcid.org/0000-0002-8262-2983)
- Huize Shen
Institutions
- Zhejiang Chinese Medical University (CN)
- Wenzhou Medical University (CN)
- Zhejiang Cancer Hospital (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-04-05
- DOI
- https://doi.org/10.1186/s40001-025-02466-x
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province
- Science and Technology Program of Zhejiang Province