基因组不稳定性
基因组
癌症
变色
个性化医疗
癌症治疗
计算生物学
混沌(操作系统)
遍历理论
肿瘤进展
生物
癌症研究
生物信息学
计算机科学
DNA
遗传学
基因
数学
DNA损伤
数学分析
计算机安全
作者
Sergey Shityakov,Viacheslav Kravtsov
标识
DOI:10.2174/0115680096379988250415094558
摘要
Genome instability is a key driver of malignant progression in cancer and is characterized by chromoanagenesis, including spontaneous events, such as chromothripsis, chromoanasynthesis, and chromoplexy. These genome catastrophes create the heterogeneity necessary for tumor cells to adapt, evolve, and resist therapy. Ergodic anticancer therapy represents a novel strategy for targeting cancer stem cells by manipulating their genome chaos. Two approaches have been proposed: ergodynamic anticancer therapy (EDAT), which enhances genome chaos beyond a critical threshold and leads to self-destruction, and ergostatic anticancer therapy (ESAT), which suppresses chaos and limits malignant progression. This short communication explores the conceptual foundations, molecular mechanisms, and therapeutic potential of ergostatic and ergodynamic therapies in treating cancer, highlighting their role in personalized medicine.
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