Centro de Biotecnologia, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Departamento de Biofísica, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.
Cancer Res. 2021 Feb 15;81(4):1040-1051. doi: 10.1158/0008-5472.CAN-20-2488. Epub 2020 Dec 22.
Several phenotypes that impact the capacity of cancer cells to survive and proliferate are dynamic. Here we used the number of cells in colonies as an assessment of fitness and devised a novel method called Dynamic Fitness Analysis (DynaFit) to measure the dynamics in fitness over the course of colony formation. DynaFit is based on the variance in growth rate of a population of founder cells compared with the variance in growth rate of colonies with different sizes. DynaFit revealed that cell fitness in cancer cell lines, primary cancer cells, and fibroblasts under unhindered growth conditions is dynamic. Key cellular mechanisms such as ERK signaling and cell-cycle synchronization differed significantly among cells in colonies after 2 to 4 generations and became indistinguishable from randomly sampled cells regarding these features. In the presence of cytotoxic agents, colonies reduced their variance in growth rate when compared with their founder cell, indicating a dynamic nature in the capacity to survive and proliferate in the presence of a drug. This finding was supported by measurable differences in DNA damage and induction of senescence among cells of colonies. The presence of epigenetic modulators during the formation of colonies stabilized their fitness for at least four generations. Collectively, these results support the understanding that cancer cell fitness is dynamic and its modulation is a fundamental aspect to be considered in comprehending cancer cell biology and its response to therapeutic interventions. SIGNIFICANCE: Cancer cell fitness is dynamic over the course of the formation of colonies. This dynamic behavior is mediated by asymmetric mitosis, ERK activity, cell-cycle duration, and DNA repair capacity in the absence or presence of a drug.
几种影响癌细胞存活和增殖能力的表型是动态的。在这里,我们使用集落中的细胞数量作为适应性的评估,并设计了一种称为动态适应性分析(DynaFit)的新方法来测量在集落形成过程中适应性的动态变化。DynaFit 基于起始细胞群体的增长率变化与具有不同大小的集落的增长率变化之间的差异。DynaFit 显示,在不受阻碍的生长条件下,癌细胞系、原代癌细胞和成纤维细胞中的细胞适应性是动态的。关键的细胞机制,如 ERK 信号和细胞周期同步,在 2 到 4 代后在集落中的细胞之间存在显著差异,并且在这些特征方面与随机采样的细胞无法区分。在细胞毒性药物存在的情况下,与起始细胞相比,集落中的细胞降低了其增长率的变异性,表明在存在药物的情况下,存活和增殖的能力具有动态性质。这一发现得到了集落中细胞之间可测量的 DNA 损伤差异和衰老诱导的支持。在集落形成过程中存在表观遗传调节剂可使其适应性至少稳定四代。总之,这些结果支持了这样一种理解,即癌细胞适应性是动态的,其调节是理解癌细胞生物学及其对治疗干预的反应的一个基本方面。
癌细胞在集落形成过程中的适应性是动态的。这种动态行为是通过不对称有丝分裂、ERK 活性、细胞周期持续时间和 DNA 修复能力在没有或存在药物的情况下介导的。