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当患者面临化疗药物耐药威胁时如何使用该化疗药物。

How to Use a Chemotherapeutic Agent When Resistance to It Threatens the Patient.

作者信息

Hansen Elsa, Woods Robert J, Read Andrew F

机构信息

Center for Infectious Disease Dynamics, Departments of Biology and Entomology, Pennsylvania State University, Pennsylvania, United States of America.

Division of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America.

出版信息

PLoS Biol. 2017 Feb 9;15(2):e2001110. doi: 10.1371/journal.pbio.2001110. eCollection 2017 Feb.

Abstract

When resistance to anticancer or antimicrobial drugs evolves in a patient, highly effective chemotherapy can fail, threatening patient health and lifespan. Standard practice is to treat aggressively, effectively eliminating drug-sensitive target cells as quickly as possible. This prevents sensitive cells from acquiring resistance de novo but also eliminates populations that can competitively suppress resistant populations. Here we analyse that evolutionary trade-off and consider recent suggestions that treatment regimens aimed at containing rather than eliminating tumours or infections might more effectively delay the emergence of resistance. Our general mathematical analysis shows that there are situations in which regimens aimed at containment will outperform standard practice even if there is no fitness cost of resistance, and, in those cases, the time to treatment failure can be more than doubled. But, there are also situations in which containment will make a bad prognosis worse. Our analysis identifies thresholds that define these situations and thus can guide treatment decisions. The analysis also suggests a variety of interventions that could be used in conjunction with cytotoxic drugs to inhibit the emergence of resistance. Fundamental principles determine, across a wide range of disease settings, the circumstances under which standard practice best delays resistance emergence-and when it can be bettered.

摘要

当患者体内对抗癌或抗菌药物产生耐药性时,高效化疗可能会失败,从而威胁患者的健康和寿命。标准做法是积极治疗,尽快有效地清除对药物敏感的靶细胞。这既能防止敏感细胞重新获得耐药性,又能消除那些可竞争性抑制耐药群体的细胞群。在此,我们分析了这种进化权衡,并考虑了最近的一些建议,即旨在控制而非消除肿瘤或感染的治疗方案可能更有效地延缓耐药性的出现。我们的一般数学分析表明,在某些情况下,即使耐药性不存在适应性代价,旨在控制的治疗方案也会比标准做法更有效,而且在这些情况下,治疗失败的时间可能会增加一倍以上。但是,在某些情况下,控制措施也会使预后更糟。我们的分析确定了界定这些情况的阈值,从而可以指导治疗决策。该分析还提出了一系列可与细胞毒性药物联合使用以抑制耐药性出现的干预措施。基本原则决定了在广泛的疾病背景下,标准做法最能有效延缓耐药性出现的情况以及何时可以改进这种做法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/426f/5300106/9a2a713a6e5a/pbio.2001110.g001.jpg

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