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.

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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
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article

Machine learning-based analysis identifies glucose metabolism-related genes ADPGK as potential diagnostic biomarkers for clear cell renal cell carcinoma

Guangzhen Wu, Guandu Li, Xiaochen Qi, Shijin Wang et al.
Frontiers in Oncology
Renal cell carcinoma treatment
article

Machine learning-based analysis identifies glucose metabolism-related genes ADPGK as potential diagnostic biomarkers for clear cell renal cell carcinoma

Guangzhen Wu, Guandu Li, Xiaochen Qi, Shijin Wang, Xiangyu Che, Tie Li
article en

Abstract

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.

Frontiers in OncologyVol. 15
Dalian Medical University (CN), First Affiliated Hospital of Dalian Medical University (CN)
Openalex Percentile: Top 64%
Renal cell carcinoma treatment
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