Multi-omics investigation of benzo[a]pyrene in gastric cancer: comprehensive network toxicology, machine learning and molecular docking approaches - PubMed
7 hours ago
- #Benzo[a]pyrene
- #Gastric Cancer
- #Machine Learning
- Benzo[a]pyrene (BaP) is linked to gastric cancer (GC) risk through environmental exposure.
- Seven hub toxicological targets identified: ALB, HSP90AA1, ESR1, INS, TP53, TNF, and EGFR.
- Targets are enriched in MAPK, Lipid and atherosclerosis, and PI3K-Akt signaling pathways.
- Multi-omics data integrated with machine learning to develop a prognostic model (CBRS) for GC patients.
- Molecular docking suggests strong binding affinity of BaP with key toxicological targets.
- Study provides a comprehensive framework for understanding BaP's toxicological effects on GC.