Network Pharmacology and Bioinformatics Approach Reveals the Multi-Target Pharmacological Mechanism of Fumaria indica in the Treatment of Liver Cancer

• Published in: Pharmaceuticals (Basel, Switzerland) Switzerland), 2022-05, Vol.15 (6), p.654
• Main Authors: Batool, Sara, Javed, Muhammad Rizwan, Aslam, Sidra, Noor, Fatima, Javed, Hafiz Muhammad Faizan, Seemab, Riffat, Rehman, Abdur, Aslam, Muhammad Farhan, Paray, Bilal Ahamad, Gulnaz, Aneela
• Format: Article
• Language: English
• Subjects: active constituents; Bioinformatics; Cancer therapies; Cell cycle; Disease; Drugs; Fumaria indica; Hepatitis; Kinases; Ligands; Liver cancer; Medical research; Metabolism; molecular docking; network pharmacology; Pharmacology; Phytochemicals; Proteins
• ISSN: 1424-8247; 1424-8247
• DOI: 10.3390/ph15060654

Liver cancer (LC), a frequently occurring cancer, has become the fourth leading cause of cancer mortality. The small number of reported data and diverse spectra of pathophysiological mechanisms of liver cancer make it a challenging task and a serious economic burden in health care management. Fumaria indica is a herbaceous annual plant used in various regions of Asia to treat a variety of ailments, including liver cancer. Several in vitro investigations have revealed the effectiveness of F. indica in the treatment of liver cancer; however, the exact molecular mechanism is still unrevealed. In this study, the network pharmacology technique was utilized to characterize the mechanism of F. indica on liver cancer. Furthermore, we analyzed the active ingredient-target-pathway network and uncovered that Fumaridine, Lastourvilline, N-feruloyl tyramine, and Cryptopine conclusively contributed to the development of liver cancer by affecting the MTOR, MAPK3, PIK3R1, and EGFR gene. Afterward, molecular docking was used to verify the effective activity of the active ingredients against the prospective targets. The results of molecular docking predicted that several key targets of liver cancer (along with MTOR, EGFR, MAPK3, and PIK3R1) bind stably with the corresponding active ingredient of F. indica. We concluded through network pharmacology methods that multiple biological processes and signaling pathways involved in F. indica exerted a preventing effect in the treatment of liver cancer. The molecular docking results also provide us with sound direction for further experiments. In the framework of this study, network pharmacology integrated with docking analysis revealed that F. indica exerted a promising preventive effect on liver cancer by acting on liver cancer-associated signaling pathways. This enables us to understand the biological mechanism of the anti liver cancer activity of F. indica.