Cancer Biology and Evolution Program, Moffitt Cancer Center, Tampa, Florida 33612.
Cold Spring Harb Perspect Med. 2018 Mar 1;8(3):a033415. doi: 10.1101/cshperspect.a033415.
Despite continuous deployment of new treatment strategies and agents over many decades, most disseminated cancers remain fatal. Cancer cells, through their access to the vast information of human genome, have a remarkable capacity to deploy adaptive strategies for even the most effective treatments. We note there are two critical steps in the clinical manifestation of treatment resistance. The first, which is widely investigated, requires deployment of a mechanism of resistance that usually involves increased expression of molecular machinery necessary to eliminate the cytotoxic effect of treatment. However, the emergence of a resistant phenotype is not in itself clinically significant. That is, resistant cells affect patient outcomes only when they form a sufficiently large population to allow tumor progression and treatment failure. Importantly, proliferation of the resistant phenotype is by no means certain and, in fact, depends on complex Darwinian dynamics governed by the costs and benefits of the resistance mechanisms in the context of the local environment and competing populations. Attempts to target molecular machinery of resistance have had little clinical success largely because of the diversity within the human genome-therapeutic interruption of one mechanism simply results in its replacement by an alternative. We explore an alternative strategy for overcoming treatment resistance that seeks to understand and exploit the critical evolutionary dynamics that govern proliferation of the resistant phenotypes. In general, this approach has shown that, although emergence of resistance mechanisms in cancer cells to every current therapy is inevitable, proliferation of the resistant phenotypes is not and can be delayed and even prevented with sufficient understanding of the underlying ecoevolutionary dynamics.
尽管几十年来不断部署新的治疗策略和药物,但大多数转移性癌症仍然是致命的。癌细胞通过获取人类基因组的大量信息,具有显著的能力来部署适应性策略,即使是最有效的治疗方法也不例外。我们注意到,治疗耐药性的临床表现有两个关键步骤。第一步是广泛研究的,需要部署一种耐药机制,通常涉及增加消除治疗细胞毒性作用所需的分子机制的表达。然而,耐药表型的出现本身在临床上并不重要。也就是说,只有当耐药细胞形成足够大的群体,允许肿瘤进展和治疗失败时,它们才会影响患者的预后。重要的是,耐药表型的增殖并非必然,事实上,这取决于耐药机制在局部环境和竞争群体中的成本和收益所决定的复杂达尔文动力学。靶向耐药性分子机制的尝试在临床上几乎没有取得成功,主要是因为人类基因组的多样性——治疗中断一种机制只会导致其被另一种机制所取代。我们探索了一种克服治疗耐药性的替代策略,旨在理解和利用控制耐药表型增殖的关键进化动态。一般来说,这种方法表明,尽管癌症细胞对每一种现有治疗方法产生耐药机制是不可避免的,但耐药表型的增殖并非不可避免,并且可以通过充分了解潜在的生态进化动态来延迟甚至预防。