Prognostic value of FDX1, the cuprotosis key gene, and its prediction models across imaging modalities and histology
The expression of FDX1 could be non-invasively predicted via radiomics. The radiomic patterns with biological and clinical relevance across histology and modalities could have a broad impact on a larger population of patients.
Authors
- Rongping Ye (ORCID: https://orcid.org/0000-0001-7867-9752)
- Lanmei Gao
- Qiuyuan Yue (ORCID: https://orcid.org/0000-0003-3632-4018)
- Wenying Jiang (ORCID: https://orcid.org/0000-0002-1438-6675)
- Yueming Li (ORCID: https://orcid.org/0000-0002-3669-568X)
- Jinsheng Hong (ORCID: https://orcid.org/0000-0003-0954-5923)
- Mingwei Zhang (ORCID: https://orcid.org/0000-0003-1407-1531)
Institutions
- Fujian Medical University (CN)
- Soochow University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Fujian Provincial Cancer Hospital (CN)
- Southeast University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-11-11
- DOI
- https://doi.org/10.1186/s12885-024-13149-x
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Natural Science Foundation of Fujian Province
- Fujian Medical University