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Protein & Peptide Letters

Author(s): Loganayaki Periyasamy, Bharathi Murugantham, Rajamanikandan Sundaraj, Sneha Krishnamoorthi and Sridhar Muthusami*

DOI: 10.2174/0929866530666230213113835

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Screening of MMP-2 Inhibiting Phytoconstituents for the Development of Newer Pancreatic Cancer Treatment Modalities

Page: [304 - 313] Pages: 10

  • * (Excluding Mailing and Handling)

Abstract

Background: Pancreatic cancer metastasis is characterized by a higher incidence of morbidity and mortality. The present study attempts to identify phytocomponents with the potential to inhibit the secretion of MMP-2 by pancreatic cancer cells and ascertain the efficacy of individual components.

Methods: Overall survival analysis carried out revealed reduced survival of patients with high MMP-2 expression. Data analysis from TCGA revealed increased MMP-2 expression in pancreatic cancer patients compared to adjacent normal tissues. The expression of MMP-2 was reported at different stages of pancreatic cancer (Stage I-IV). To understand the relevance of phytocomponents in binding to the catalytic site of MMP-2, molecular docking studies were performed to find the effectiveness based on Glide score/energy. To substantiate the in-silico analysis, the eight components were also tested in vitro for reducing the survival in PANC-1 cells at three different time points (24, 48, and 72 hours). Finally, zymography analysis was performed using the eight components in the PANC-1 conditioned media of treated cells to ascertain the enzymatic activity of MMP-2.

Results: The obtained results suggest plumbagin, emodin, and EGCG exert potential inhibition in PANC-1 cells, among other phytocomponents tested. Therefore, as assessed using computational studies, the binding ability of plumbagin, emodin, and EGCG can be interpreted as inhibiting effects on MMP-2 activities.

Conclusion: These compounds could find potential application in preventing the progression, sustenance, and metastasis of pancreatic cancer and need to be explored further using a pre-clinical model system in order to validate the efficacy, bioavailability, and safety.

Graphical Abstract

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