From bioinformatics to clinical applications: a novel prognostic model of cuproptosis-related genes based on single-cell RNA sequencing data in hepatocellular carcinoma
A PM using 6 SRGs (NDRG2, CYB5A, SOX4, MYC, TM4SF1, and IFI27) was developed via bioinformatics research. This model might provide a fresh perspective for assessing and managing HCC.
Authors
- Fenglin Zang (ORCID: https://orcid.org/0000-0001-9478-7104)
- Bing Shao (ORCID: https://orcid.org/0000-0001-5631-6889)
- Baocun Sun (ORCID: https://orcid.org/0000-0002-4392-8728)
- Tingting Ding (ORCID: https://orcid.org/0000-0002-4537-9451)
- Yanan Gao (ORCID: https://orcid.org/0000-0002-5649-0489)
- Yong Wang (ORCID: https://orcid.org/0000-0001-6602-0491)
- Yuhong Guo (ORCID: https://orcid.org/0000-0002-6383-8543)
- Haicui Yang
Institutions
- Tianjin Medical University Cancer Institute and Hospital (CN)
Publication Details
- Journal
- BMC Immunology
- Published
- 2024-09-09
- DOI
- https://doi.org/10.1186/s12865-024-00649-5
- Citations
- 2
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.84