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Pixantrone as a novel MCM2 inhibitor for ovarian cancer treatment.

Authors :
Chen, Qingshan
Sun, Yaoqi
Li, Hao
Liu, Shupeng
Zhang, Hai
Cheng, Zhongping
Wang, Yu
Source :
European Journal of Pharmacology. Sep2024, Vol. 979, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Mini-chromosome maintenance protein 2 (MCM2) is a potential target for the development of cancer therapeutics. However, small molecule inhibitors targeting MCM2 need further investigation. Molecular dynamics simulation was performed to identify active pockets in the MCM2 protein structure (6EYC). The active pocket was used as a docking model to discover MCM2 inhibitors by using structure-based virtual screening and surface plasmon resonance (SPR) assay. Furthermore, the efficacy of pixantrone targeting MCM2 in ovarian cancer was evaluated in vitro and in vivo. Pixantrone was identified as a novel inhibitor of MCM2 by virtual screening. SPR binding affinity analysis confirmed the direct binding of pixantrone to MCM2 protein. Pixantrone significantly reduced the viability of ovarian cancer cells A2780 and SKOV3 in a dose- and time-dependent manner. In addition, pixantrone inhibited DNA replication, and induced cell cycle arrest and apoptosis in ovarian cancer cells via targeting MCM2. Knockdown of MCM2 could attenuate the inhibitory activity of pixantrone in ovarian cancer cells. Furthermore, pixantrone significantly suppressed ovarian cancer growth in the A2780 cell xenograft mouse model and showed favorable safety. These findings suggest that pixantrone may be a promising drug for ovarian cancer patients by targeting MCM2 in the clinic. [Display omitted] • Pixantrone identified as a novel MCM2 inhibitor through virtual screening. • Surface plasmon resonance confirms direct binding of pixantrone to MCM2 protein. • Pixantrone inhibits ovarian cancer cell proliferation and induces apoptosis. • Knockdown of MCM2 attenuates the inhibitory effect of pixantrone on cancer cells. • Pixantrone significantly suppresses ovarian cancer growth in a mouse model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00142999
Volume :
979
Database :
Academic Search Index
Journal :
European Journal of Pharmacology
Publication Type :
Academic Journal
Accession number :
179029367
Full Text :
https://doi.org/10.1016/j.ejphar.2024.176835