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基于进化动力学的转移性去势抵抗性前列腺癌的阿比特龙-多西他赛方案。

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

机构信息

Faculty of Science, Arak University, Arak, Iran.

出版信息

PLoS One. 2023 Mar 9;18(3):e0282646. doi: 10.1371/journal.pone.0282646. eCollection 2023.

Abstract

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.

摘要

转移性去势抵抗性前列腺癌(mCRPC)患者根据对阿比特龙治疗的反应分为三组:最佳反应者、有反应者和无反应者。在后两组中,由于治疗过程中肿瘤环境中耐药细胞的发展,可能无法取得成功的结果。为了克服这一挑战,可以使用第二种药物来控制耐药细胞群体,从而有可能延长疾病抑制期。本文提出在一些联合治疗方法中使用多西他赛和阿比特龙的组合来控制整个癌细胞群体和耐药亚群。为了研究 mCRPC 癌症表型的竞争和进化,与之前的研究一样,进化博弈论(EGT)已被用作进化生物学概念的数学模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6153/9997888/83d12bc1ef02/pone.0282646.g001.jpg

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