Machine learning-based analysis identifies glucose metabolism-related genes ADPGK as potential diagnostic biomarkers for clear cell renal cell carcinoma
Our results suggest that targeting the glucose metabolism pathway can kill ccRCC cells. <i>ADPGK</i>, a gene related to glucose metabolism, may be an important biomarker for the diagnosis and characterization of ccRCC. However, whether <i>ADPGK</i> affects glycolysis in ccRCC, and the mechanism by which glycolysis is regulated is not clear. This is the direction of further research in the future.
Authors
- Guangzhen Wu (ORCID: https://orcid.org/0000-0002-2300-8465)
- Guandu Li
- Xiaochen Qi
- Shijin Wang (ORCID: https://orcid.org/0000-0002-4788-0530)
- Xiangyu Che (ORCID: https://orcid.org/0000-0003-4646-1390)
- Tie Li
Institutions
- Dalian Medical University (CN)
- First Affiliated Hospital of Dalian Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-09-16
- DOI
- https://doi.org/10.3389/fonc.2025.1559887
- Primary Topic
- Renal cell carcinoma treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00