Medical Oncology Department, Gustave Roussy Cancer Campus, Villejuif, France.
Inserm, Gustave Roussy Cancer Campus, UMR981, Villejuif, France.
Cancer Res. 2020 Aug 1;80(15):3062-3069. doi: 10.1158/0008-5472.CAN-19-3260. Epub 2020 Apr 3.
Next-generation sequencing has sparked the exploration of cancer genomes, with the aim of discovering the genetic etiology of the disease and proposing rationally designed therapeutic interventions. Driver gene alterations have been comprehensively charted, but the improvement of cancer patient management somewhat lags behind these basic breakthroughs. Recently, large-scale sequencing that focused on metastasis, the main cause of cancer-related deaths, has shed new light on the driving forces at work during disease progression, particularly in breast cancer. Despite a fairly stable pool of driver genetic alterations between early and late disease, a number of therapeutically targetable mutations have been found enriched in metastatic samples. The molecular processes fueling disease progression have been delineated in recent studies and the clonal composition of breast cancer samples can be examined in detail. Here we discuss how these findings may be combined to improve the diagnosis of breast cancer to better select patients at risk, and to identify targeted agents to treat advanced diseases and to design therapeutic strategies exploiting vulnerabilities of cancer cells rooted in their ability to evolve and drive disease progression.
下一代测序技术激发了对癌症基因组的探索,旨在发现疾病的遗传病因,并提出合理设计的治疗干预措施。驱动基因的改变已经被全面描绘出来,但癌症患者管理的改善在一定程度上落后于这些基础突破。最近,专注于转移的大规模测序——癌症相关死亡的主要原因——为疾病进展过程中的驱动力提供了新的线索,特别是在乳腺癌中。尽管早期和晚期疾病之间存在相当稳定的驱动基因突变池,但在转移性样本中发现了一些可治疗的靶向突变。最近的研究描述了推动疾病进展的分子过程,并且可以详细检查乳腺癌样本的克隆组成。在这里,我们讨论了如何将这些发现结合起来,以改善乳腺癌的诊断,从而更好地选择有风险的患者,并确定针对晚期疾病的靶向药物,以及设计利用癌细胞进化能力和驱动疾病进展的弱点的治疗策略。