Abiraterone-Docetaxel scheduling for metastatic castration-resistant prostate cancer based on evolutionary dynamics

被引:1
|
作者
Deris, Atefeh [1 ]
Sohrabi-Haghighat, Mahdi [1 ]
机构
[1] Arak Univ, Fac Sci, Arak, Iran
来源
PLOS ONE | 2023年 / 18卷 / 03期
关键词
NORTON-SIMON HYPOTHESIS; THERAPY; MECHANISM; MODEL;
D O I
10.1371/journal.pone.0282646
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Patients with metastatic castration-resistant prostate cancer (mCRPC) are divided into three groups based on their response to Abiraterone treatment: best responder, responder, and non-responder. In the latter two groups, successful outcomes may not be achieved due to the development of drug-resistant cells in the tumor environment during treatment. To overcome this challenge, a secondary drug can be used to control the population of drug-resistant cells, potentially leading to a longer period of disease inhibition. This paper proposes using a combination of Docetaxel and Abiraterone in some polytherapy methods to control both the overall cancer cell population and the drug-resistant subpopulation. To investigate the competition and evolution of mCRPC cancer phenotypes, as in previous studies, the Evolutionary Game Theory (EGT) has been used as a mathematical modeling of evolutionary biology concepts.
引用
收藏
页数:9
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