Developing hypoxia and lactate metabolism-related molecular subtypes and prognostic signature for clear cell renal cell carcinoma through integrating machine learning
We have developed a novel prognostic signature that integrates hypoxia and lactate metabolism. It is expected to become an effective tool for prognosis prediction, immunotherapy and personalized medicine of ccRCC.
Authors
- Ye Guo (ORCID: https://orcid.org/0000-0002-1813-9815)
- Xianghui Hao
- Sheng Luo (ORCID: https://orcid.org/0000-0003-4214-5809)
- Benzheng Zhou (ORCID: https://orcid.org/0000-0002-0264-9466)
- Jinhui Liu (ORCID: https://orcid.org/0000-0001-8032-5099)
- Tao Yang (ORCID: https://orcid.org/0000-0002-7698-3440)
- Jiayuan Liu (ORCID: https://orcid.org/0000-0001-9350-6665)
Institutions
- Hubei University of Medicine (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1007/s12672-024-01543-7
- Citations
- 2
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.84