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Evolution’s cartographer: Mapping the fitness landscape in cancer
Cancer Cell ( IF 50.3 ) Pub Date : 2021-09-30 , DOI: 10.1016/j.ccell.2021.09.002
Calum Gabbutt 1 , Trevor A Graham 1
Affiliation  

Cancer treatment effectiveness could be improved if it were possible to accurately anticipate the response of the tumor to treatment. Writing in Nature, Salehi et al. combine single-cell genomics and mathematical modeling to measure cancer subclone fitness and use these measurements to accurately predict the future trajectory of cancer evolution.



中文翻译:

Evolution 的制图师:绘制癌症的健康状况图

如果能够准确预测肿瘤对治疗的反应,就可以提高癌症治疗的有效性。在自然中写作,Salehi 等人。结合单细胞基因组学和数学模型来测量癌症亚克隆适应度,并使用这些测量结果准确预测癌症进化的未来轨迹。

更新日期:2021-10-11
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