scholarly journals Epigenetic Instability May Alter Cell State Transitions and Anticancer Drug Resistance

2020 ◽  
Author(s):  
Anshul Saini ◽  
James M. Gallo

AbstractDrug resistance is a significant obstacle to successful and durable anti-cancer therapy. Targeted therapy is often effective during early phases of treatment; however, eventually cancer cells adapt and transition to drug-resistant cells states rendering the treatment ineffective. It is proposed that cell state can be a determinant of drug efficacy and manipulated to affect the development of anticancer drug resistance. In this work, we developed two stochastic cell state models – referenced to brain tumors - that included transcriptionally-permissive and -restrictive states based on the underlying hypothesis that epigenetic instability mitigates lock-in of drug-resistant states. One model used single-step state transitions, whereas the other considered a multi-step process to lock-in drug resistance. The latter model showed that with moderate epigenetic instability the drug-resistant cell populations were reduced, on average, by 60%, whereas a high level of epigenetic disruption reduced them by about 90%. Generation of epigenetic instability via epigenetic modifier therapy could be a viable strategy to mitigate anticancer drug resistance.

2021 ◽  
Vol 17 (8) ◽  
pp. e1009307
Author(s):  
Anshul Saini ◽  
James M. Gallo

Drug resistance is a significant obstacle to successful and durable anti-cancer therapy. Targeted therapy is often effective during early phases of treatment; however, eventually cancer cells adapt and transition to drug-resistant cells states rendering the treatment ineffective. It is proposed that cell state can be a determinant of drug efficacy and manipulated to affect the development of anticancer drug resistance. In this work, we developed two stochastic cell state models and an integrated stochastic-deterministic model referenced to brain tumors. The stochastic cell state models included transcriptionally-permissive and -restrictive states based on the underlying hypothesis that epigenetic instability mitigates lock-in of drug-resistant states. When moderate epigenetic instability was implemented the drug-resistant cell populations were reduced, on average, by 60%, whereas a high level of epigenetic disruption reduced them by about 90%. The stochastic-deterministic model utilized the stochastic cell state model to drive the dynamics of the DNA repair enzyme, methylguanine-methyltransferase (MGMT), that repairs temozolomide (TMZ)-induced O6-methylguanine (O6mG) adducts. In the presence of epigenetic instability, the production of MGMT decreased that coincided with an increase of O6mG adducts following a multiple-dose regimen of TMZ. Generation of epigenetic instability via epigenetic modifier therapy could be a viable strategy to mitigate anticancer drug resistance.


2004 ◽  
Vol 484 (2-3) ◽  
pp. 333-339 ◽  
Author(s):  
Emiko Asakura ◽  
Hironao Nakayama ◽  
Masami Sugie ◽  
Ying Lan Zhao ◽  
Masayuki Nadai ◽  
...  

2011 ◽  
Vol 34 (3) ◽  
pp. 433-435 ◽  
Author(s):  
Yoshihiko Shibayama ◽  
Kou Nakano ◽  
Hiroshi Maeda ◽  
Miyuki Taguchi ◽  
Ryuji Ikeda ◽  
...  

2020 ◽  
Vol 49 ◽  
pp. 100671 ◽  
Author(s):  
Xin Cao ◽  
Jiayun Hou ◽  
Quanlin An ◽  
Yehuda G. Assaraf ◽  
Xiangdong Wang

2003 ◽  
Vol 64 (2) ◽  
pp. 259-268 ◽  
Author(s):  
Paul W. Schenk ◽  
Mariël Brok ◽  
Antonius W. M. Boersma ◽  
Jourica A. Brandsma ◽  
Hans Den Dulk ◽  
...  

2014 ◽  
Vol 7 (357) ◽  
pp. ra121-ra121 ◽  
Author(s):  
C. A. Martz ◽  
K. A. Ottina ◽  
K. R. Singleton ◽  
J. S. Jasper ◽  
S. E. Wardell ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document