Swiss Cancer Center Leman, Lausanne, Switzerland.
Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
Cancer Discov. 2024 Jan 12;14(1):36-48. doi: 10.1158/2159-8290.CD-23-0530.
UNLABELLED: Cancer cells adapt and survive through the acquisition and selection of molecular modifications. This process defines cancer evolution. Building on a theoretical framework based on heritable genetic changes has provided insights into the mechanisms supporting cancer evolution. However, cancer hallmarks also emerge via heritable nongenetic mechanisms, including epigenetic and chromatin topological changes, and interactions between tumor cells and the tumor microenvironment. Recent findings on tumor evolutionary mechanisms draw a multifaceted picture where heterogeneous forces interact and influence each other while shaping tumor progression. A comprehensive characterization of the cancer evolutionary toolkit is required to improve personalized medicine and biomarker discovery. SIGNIFICANCE: Tumor evolution is fueled by multiple enabling mechanisms. Importantly, genetic instability, epigenetic reprogramming, and interactions with the tumor microenvironment are neither alternative nor independent evolutionary mechanisms. As demonstrated by findings highlighted in this perspective, experimental and theoretical approaches must account for multiple evolutionary mechanisms and their interactions to ultimately understand, predict, and steer tumor evolution.
未加标签:癌细胞通过获得和选择分子修饰来适应和存活。这个过程定义了癌症的进化。基于基于遗传变化的理论框架提供了对支持癌症进化的机制的深入了解。然而,癌症特征也通过遗传非遗传机制出现,包括表观遗传和染色质拓扑变化,以及肿瘤细胞与肿瘤微环境之间的相互作用。最近关于肿瘤进化机制的发现描绘了一幅多方面的图景,其中异质力量相互作用和相互影响,同时塑造肿瘤的进展。需要对癌症进化工具包进行全面描述,以改善个性化医学和生物标志物的发现。
意义:肿瘤进化是由多种使能机制推动的。重要的是,遗传不稳定性、表观遗传重编程以及与肿瘤微环境的相互作用既不是替代的也不是独立的进化机制。正如本观点中强调的发现所表明的那样,实验和理论方法必须考虑多种进化机制及其相互作用,以最终理解、预测和引导肿瘤进化。
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