Anti-cancer activity and mechanism of flurbiprofen organoselenium compound RY-1-92 in non-small cell lung cancer.


Journal

RSC medicinal chemistry
ISSN: 2632-8682
Titre abrégé: RSC Med Chem
Pays: England
ID NLM: 101759460

Informations de publication

Date de publication:
22 May 2024
Historique:
received: 23 01 2024
accepted: 15 03 2024
pmc-release: 22 03 2025
medline: 24 5 2024
pubmed: 24 5 2024
entrez: 24 5 2024
Statut: epublish

Résumé

Lung cancer is one of the malignancies with the highest incidence and mortality rates worldwide, and non-small cell lung cancer (NSCLC) accounts for about 85% of all lung cancer types. In this study, the anti-cancer activities of a novel flurbiprofen organic selenium compound, RY-1-92, on NSCLC cells and a mouse model and the underlying molecular mechanisms were explored. We found that compound RY-1-92 can significantly inhibit the viability, colony formation and migration of A549, NCI-H460 lung cancer cells. Flow cytometry analysis showed that RY-1-92 also can lead to G2/M cell cycle arrest and apoptosis induced in lung cancer cells. Further, RY-1-92 can decrease the tumor size in the Lewis lung cancer tumor-bearing mouse model. The protein levels of cell cycle-related proteins CDK1/cyclinB1 were decreased, while the apoptosis-related protein BAX was increased dramatically after RY-1-92 treatment

Identifiants

pubmed: 38784458
doi: 10.1039/d4md00058g
pii: d4md00058g
pmc: PMC11110739
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1737-1745

Informations de copyright

This journal is © The Royal Society of Chemistry.

Déclaration de conflit d'intérêts

There are no conflicts to declare.

Auteurs

Bo Cui (B)

College of Life Science, Liaoning University Shenyang 110036 China xiulibi@lnu.edu.cn.

Xianda Cheng (X)

College of Life Science, Liaoning University Shenyang 110036 China xiulibi@lnu.edu.cn.

Xin Zhang (X)

College of Life Science, Liaoning University Shenyang 110036 China xiulibi@lnu.edu.cn.

Lili Chen (L)

College of Life Science, Liaoning University Shenyang 110036 China xiulibi@lnu.edu.cn.
Shenyang Key Laboratory of Chronic Disease Occurrence and Nutrition Intervention, College of Life Sciences, Liaoning University Shenyang 110036 China.
College of Mathematics and Statistics, Liaoning University Shenyang 110036 China.

Wenqian Pang (W)

College of Life Science, Liaoning University Shenyang 110036 China xiulibi@lnu.edu.cn.

Yue Liu (Y)

College of Life Science, Liaoning University Shenyang 110036 China xiulibi@lnu.edu.cn.

Zhe Yang (Z)

College of Life Science, Liaoning University Shenyang 110036 China xiulibi@lnu.edu.cn.

Hui Li (H)

College of Life Science, Liaoning University Shenyang 110036 China xiulibi@lnu.edu.cn.

Xianran He (X)

Institute for Interdisciplinary Research, Jianghan University Wuhan Economic and Technological Development Zone Wuhan 430056 China.

Xiaolong Li (X)

Shenzhen Fushan Biological Technology Co., Ltd Kexing Science Park A1 1005, Nanshan Zone Shenzhen 518057 China.

Xiuli Bi (X)

College of Life Science, Liaoning University Shenyang 110036 China xiulibi@lnu.edu.cn.
Shenyang Key Laboratory of Chronic Disease Occurrence and Nutrition Intervention, College of Life Sciences, Liaoning University Shenyang 110036 China.

Classifications MeSH