HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Effect of metformin on apoptosis, cell cycle arrest migration and invasion of A498 cells.

Abstract
Previous studies have demonstrated that metformin (Met) may reduce the risk of cancer development. In the present study, the anti-cancer effects of Met in A498 cells were investigated. It was found that Met inhibited A498 cell proliferation in a time- and dose-dependent manner, as well as induced the activation of AMP-activated protein kinase. It was also demonstrated that Met promoted A498 cell apoptosis and mechanistic studies suggested that this was mediated by the downregulation of B-cell lymphoma 2 and concurrent upregulation of Bcl-2-associated X protein. In addition, it was observed that Met induced G1 cell cycle arrest by decreasing cyclin D1 expression. Furthermore, the results demonstrated that Met reduced A498 cell migration and invasion in vitro by decreasing matrix metalloproteinase-2, which indicated its potential to inhibit renal cancer metastasis. In combination, these results provide evidence that Met is important in anti-renal cancer therapy, and thus may serve as a novel and efficient agent for renal cancer treatment.
AuthorsZhiqing Fang, Xiulian Xu, Zunlin Zhou, Zhonghua Xu, Zhaoxu Liu
JournalMolecular medicine reports (Mol Med Rep) Vol. 9 Issue 6 Pg. 2251-6 (Jun 2014) ISSN: 1791-3004 [Electronic] Greece
PMID24691570 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Metformin
Topics
  • Apoptosis (drug effects)
  • Cell Cycle Checkpoints (drug effects)
  • Cell Line, Tumor
  • Cell Movement (drug effects)
  • Cell Proliferation (drug effects)
  • Humans
  • Metformin (pharmacology)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: