Identifying the Antitumor Effects of Curcumin on Lung Adenocarcinoma Using Comprehensive Bioinformatics Analysis

• Published in: Drug design, development and therapy Vol. 16; pp. 2365 - 2382
• Main Authors: Yang, Fei-Ran, Li, Si-Yi, Hu, Xi-Wen, Li, Xiu-Rong, Li, Hui-Jie
• Format: Journal Article
• Language: English
• Published: Macclesfield Dove Medical Press Limited 01-01-2022; Taylor & Francis Ltd; Dove; Dove Medical Press
• Subjects: Adenocarcinoma; Anticancer properties; Antitumor activity; antitumor effect; Apoptosis; B cells; Bioinformatics; bioinformatics analysis; Biological properties; Biomarkers; Cancer therapies; Care and treatment; Cell cycle; Cell growth; Cell proliferation; Chemical compounds; Computational biology; Computer graphics; Curcumin; Gene expression; Gene set enrichment analysis; Genes; Health aspects; Immunotherapy; Kinases; Ligands; lung adenocarcinoma; Lung cancer; Molecular docking; Natural products; Network analysis; Neuropeptide Y; Original Research; Pharmacology; Protein-protein interactions; Proteins; RNA; Software; Survival analysis; tcga; Technology application; Tumors; China; United States > US
• ISSN: 1177-8881; 1177-8881
• DOI: 10.2147/DDDT.S371420

Background: As the main component of turmeric (Curcuma longa L.), curcumin is widely used in the treatment of various diseases. Previous studies have demonstrated that curcumin has great potential as a therapeutic agent, but the lack of understanding of the functional mechanism of the drug has hindered the widespread use of the natural product. In the present study, we used comprehensive bioinformatics analysis and in vitro experiments to explore the anti-tumor mechanism of curcumin. Materials and Methods: LUAD mRNA expression data were obtained from TCGA database and differentially expressed genes (DEGs) were identified using R software. Functional enrichment analysis was conducted to further clarify its biological properties and hub genes were identified by a protein-protein interaction (PPI) network analysis. Survival analysis and molecular docking were used to analyze the effectiveness of the hub genes. By an in vitro study, we evaluated whether curcumin could influence the proliferation, migration, and invasion activities of LUAD cells. Results: In this study, 1783 DEGs from LUAD tissue samples compared to normal samples were evaluated. Functional enrichment analysis and the PPI network revealed the characteristics of the DEGs. We performed a topological analysis and identified 10 hub genes. Of these, six genes (INS, GCG, SST, F2, AHSG, and NPY) were identified as potentially effective biomarkers of LUAD. The molecular docking results indicated that curcumin targets in regulating lung cancer may be INS and GCG. We found that curcumin significantly inhibited the proliferation, migration, and invasion of LUAD cells and significantly decreased the expression of the INS and GCG genes. Conclusion: The results of this study suggest that the therapeutic effects of curcumin on LUAD may be achieved through the intervention of INS and GCG, which may act as potential biomarkers for LUAD prevention and treatment. Keywords: lung adenocarcinoma, curcumin, antitumor effect, bioinformatics analysis, TCGA