Centro de Astrobiología (CAB) CSIC-INTA, Torrejón de Ardoz, Madrid, Spain.
Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid (UPM)-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA-CSIC), Madrid, Spain.
PLoS Comput Biol. 2024 Apr 30;20(4):e1012081. doi: 10.1371/journal.pcbi.1012081. eCollection 2024 Apr.
Epistasis among driver mutations is pervasive and explains relevant features of cancer, such as differential therapy response and convergence towards well-characterized molecular subtypes. Furthermore, a growing body of evidence suggests that tumor development could be hampered by the accumulation of slightly deleterious passenger mutations. In this work, we combined empirical epistasis networks, computer simulations, and mathematical models to explore how synergistic interactions among driver mutations affect cancer progression under the burden of slightly deleterious passengers. We found that epistasis plays a crucial role in tumor development by promoting the transformation of precancerous clones into rapidly growing tumors through a process that is analogous to evolutionary rescue. The triggering of epistasis-driven rescue is strongly dependent on the intensity of epistasis and could be a key rate-limiting step in many tumors, contributing to their unpredictability. As a result, central genes in cancer epistasis networks appear as key intervention targets for cancer therapy.
遗传相互作用在驱动突变中普遍存在,并解释了癌症的相关特征,如不同的治疗反应和向特征明确的分子亚型趋同。此外,越来越多的证据表明,肿瘤的发展可能会受到轻微有害的乘客突变的积累所阻碍。在这项工作中,我们结合经验遗传相互作用网络、计算机模拟和数学模型,探索了驱动突变之间的协同相互作用如何在携带轻微有害乘客的情况下影响癌症的进展。我们发现,遗传相互作用通过促进癌前克隆向快速生长的肿瘤转化,从而在肿瘤发展中起着至关重要的作用,这一过程类似于进化拯救。遗传相互作用驱动的拯救的触发强烈依赖于遗传相互作用的强度,并且可能是许多肿瘤中一个关键的限速步骤,导致它们的不可预测性。因此,癌症遗传相互作用网络中的核心基因似乎是癌症治疗的关键干预靶点。