Resveratrol Modulates Lung Cancer-Associated Hub Genes Identified by Integrated Bioinformatics, Single-Cell Analysis,...

Area of Science:

• Oncology
• Molecular Biology
• Bioinformatics

Background:

• Lung cancer is a leading cause of cancer mortality.
• Identifying novel molecular targets is crucial for effective lung cancer therapy.
• Understanding gene regulatory networks in lung cancer is essential.

Purpose of the Study:

• To identify key genes associated with lung cancer progression.
• To explore the potential of resveratrol in regulating these genes.
• To establish a molecular framework for resveratrol-based lung cancer treatments.

Main Methods:

• Differential gene expression analysis and Weighted Gene Co-expression Network Analysis (WGCNA) on lung cancer datasets (GSE43458).
• Protein-protein interaction network construction, hub gene identification using Cytoscape, and functional enrichment analysis.
• Single-cell RNA sequencing (GSE131907), molecular docking, and in vitro validation (CCK-8, Western blotting, qRT-PCR) with resveratrol.

Main Results:

• Identified 1,655 differentially expressed genes and a significant turquoise module (252 genes) associated with lung cancer.
• Discovered five hub genes (CASP3, DDX54, TP53BP1, CDKN2A, ABT1) with increased expression in lung cancer tissues.
• Resveratrol showed potential interactions with hub proteins (TP53BP1, DDX54) and reduced their expression in vitro.

Conclusions:

• Five novel lung cancer-associated hub genes were identified, involved in apoptosis, cell cycle, DNA repair, and immune response.
• Resveratrol may exert therapeutic effects by modulating the expression of these identified hub genes.
• The study provides a multi-level molecular framework for investigating resveratrol-responsive networks in lung cancer.