Multi‐Omic Analysis Reveals a Lipid Metabolism Gene Signature and Predicts Prognosis and Chemotherapy Response in Thyroid Carcinoma
This multi-omic analysis underscores the potential utility of the lipid metabolism risk model in guiding clinical treatment and improving outcomes for TC patients.
Authors
- Guiling Yan (ORCID: https://orcid.org/0000-0002-0435-2981)
- Linlong Mo (ORCID: https://orcid.org/0000-0002-7303-2439)
- Yanchen Chen
- Yuqin Tu (ORCID: https://orcid.org/0000-0003-2489-6094)
- Jingling Xie (ORCID: https://orcid.org/0000-0002-9886-2893)
- Shu Chen (ORCID: https://orcid.org/0009-0006-2406-0309)
- Xinyao Ji (ORCID: https://orcid.org/0009-0009-5879-162X)
- Changchun Niu (ORCID: https://orcid.org/0000-0002-8847-7369)
- Pu Liao (ORCID: https://orcid.org/0009-0008-9134-0612)
Institutions
- North Sichuan Medical University (CN)
- First People's Hospital of Chongqing (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/cam4.70819
- Citations
- 3
- Primary Topic
- Cancer, Lipids, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 2.81