Identifying metabolism-related genes in liver cancer through weighted gene co-expression network analysis and machine learning
The metabolism-related biomarkers ACADS, ALDH8A1, COX4I2, CYP2C8, DBH, and NDST3 demonstrated significant potential for predicting liver cancer prognosis and may serve as candidate therapeutic targets.
Authors
- Taorui Wang (ORCID: https://orcid.org/0009-0001-9635-4123)
- Zijun Lai
- Shengjun Tang
- Mingjiao Zhang (ORCID: https://orcid.org/0000-0001-6572-1317)
- Lehang Lin
Institutions
- Macau University of Science and Technology (MO)
- Sun Yat-sen University (CN)
- Third Affiliated Hospital of Southern Medical University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-09-24
- DOI
- https://doi.org/10.3389/fgene.2025.1654459
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00