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基于进化理论的策略对抗癌症的药物耐药性

Evolution-Informed Strategies for Combating Drug Resistance in Cancer.

机构信息

Systems Biology & Bioinformatics, Case Western Reserve University, Cleveland, OH 44106, USA.

Department of Translational Hematology & Oncology, Cleveland Clinic Lerner Research Institute, Cleveland, OH 44106, USA.

出版信息

Int J Mol Sci. 2023 Apr 4;24(7):6738. doi: 10.3390/ijms24076738.

DOI:10.3390/ijms24076738
PMID:37047714
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10095117/
Abstract

The ever-changing nature of cancer poses the most difficult challenge oncologists face today. Cancer's remarkable adaptability has inspired many to work toward understanding the evolutionary dynamics that underlie this disease in hopes of learning new ways to fight it. Eco-evolutionary dynamics of a tumor are not accounted for in most standard treatment regimens, but exploiting them would help us combat treatment-resistant effectively. Here, we outline several notable efforts to exploit these dynamics and circumvent drug resistance in cancer.

摘要

癌症的不断变化的性质是当今肿瘤学家面临的最具挑战性的问题。癌症令人瞩目的适应性促使许多人致力于了解这种疾病背后的进化动态,以期学习新的方法来对抗它。肿瘤的生态进化动态在大多数标准治疗方案中并未得到考虑,但利用这些动态将有助于我们有效地对抗治疗耐药性。在这里,我们概述了几种值得注意的努力,以利用这些动态并规避癌症中的耐药性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7448/10095117/a75b75b6af51/ijms-24-06738-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7448/10095117/a3b569594a2d/ijms-24-06738-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7448/10095117/8927829ee050/ijms-24-06738-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7448/10095117/a75b75b6af51/ijms-24-06738-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7448/10095117/a3b569594a2d/ijms-24-06738-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7448/10095117/8927829ee050/ijms-24-06738-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7448/10095117/a75b75b6af51/ijms-24-06738-g003.jpg

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