Turtoi Andrei, Blomme Arnaud, Castronovo Vincent
Metastasis Research Laboratory, GIGA-Cancer, University of Liege, Liège, Belgium.
Metastasis Research Laboratory, GIGA-Cancer, University of Liege, Liège, Belgium.
Bull Cancer. 2015 Jan;102(1):17-23. doi: 10.1016/j.bulcan.2014.12.006. Epub 2015 Jan 2.
According to the clonal model and Darwinian evolution, cancer cell evolves through new mutations helping it to proliferate, migrate, invade and metastasize. Recent genetic studies have clearly shown that tumors, when diagnosed, consist of a large number of mutations distributed in different cells. This heterogeneity translates in substantial genetic plasticity enabling cancer cells to adapt to any hostile environment. As targeted therapy focuses only on one pathway or protein, there will always be a cell with the "right" genetic background to survive the treatment and cause tumor relapse. Because today's targeted therapies never took tumor heterogeneity into account, nearly all novel drugs fail to provide patients with a considerable improvement of the survival. However, emerging proteomic studies guided by the idea that Darwinian selection is governed by the phenotype and not genotype, show that heterogeneity at the protein level is much less complex, then it could be expected from genetic studies. This information together with the recent trend to switch from functional to cytotoxic targeting may offer an entirely new strategy to efficiently combat cancer.
根据克隆模型和达尔文进化论,癌细胞通过新的突变不断进化,这些突变有助于其增殖、迁移、侵袭和转移。近期的遗传学研究清楚地表明,肿瘤在被诊断时,由大量分布于不同细胞中的突变组成。这种异质性表现为显著的基因可塑性,使癌细胞能够适应任何恶劣环境。由于靶向治疗仅聚焦于一条信号通路或一种蛋白质,总会有具有“合适”基因背景的细胞在治疗中存活下来并导致肿瘤复发。因为当今的靶向治疗从未考虑肿瘤的异质性,几乎所有新型药物都未能给患者带来显著的生存改善。然而,受达尔文选择由表型而非基因型决定这一观点指导的新兴蛋白质组学研究表明,蛋白质水平的异质性远没有基因研究预期的那么复杂。这些信息,再加上从功能靶向转向细胞毒性靶向的最新趋势,可能会提供一种全新的策略来有效对抗癌症。