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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.
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页数:9
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