Back to Search Start Over

PTEN expression can be used as a switch between senescence and apoptosis in breast cancer cells according to a logical model of the G2/M checkpoint.

Authors :
Marcello YMB
Silveira DA
Gupta S
Mombach JCM
Source :
Bio Systems [Biosystems] 2024 Jan; Vol. 235, pp. 105097. Date of Electronic Publication: 2023 Dec 06.
Publication Year :
2024

Abstract

Worldwide, the second-highest mortality rate is caused by breast cancer (BC). The most studied BC cell line is MCF-7 because it exhibits strong consistency with clinical cases and is a good system for analyzing tumors with functional estrogen receptors (ER-positive cancers). In this paper, we introduce the first theoretical method for describing PTEN-loss-induced cellular senescence (PICS), which is an increase in cellular senescence caused by PTEN knockout, utilizing a logical model of the G2/M checkpoint. We predict that PTEN expression acts as a switch between cell phenotypes associated with senescence and apoptosis. We show that PICS is induced by the activity of the positive feedback between AKT and mTORC2, and that overexpression of PTEN will disrupt the feedback, abrogating senescence and only leading to arrest or apoptosis. Furthermore, we demonstrate that miR-21 can be used as a target against proliferation control because its knockout is equivalent to PTEN overexpression. We think the findings can be used to motivate new strategies for MCF-7 strain proliferation control.<br />Competing Interests: Declaration of competing interest The authors of the paper entitled ‘PTEN expression can be used as a switch between senescence and apoptosis in breast cancer cells according to a logical model of the G2/M checkpoint’ submitted to Biosystems declare that they have no conflicting interests.<br /> (Copyright © 2023 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-8324
Volume :
235
Database :
MEDLINE
Journal :
Bio Systems
Publication Type :
Academic Journal
Accession number :
38065398
Full Text :
https://doi.org/10.1016/j.biosystems.2023.105097