Tumor progression is an evolutionary process during which cells acquire distinct genetic alterations. Several cancer evolutionary studies reconstruct this evolutionary process by applying bulk DNA sequencing to a tumor sample to infer the presence of genetic alterations using various tumor evolutionary algorithms. Through a comprehensive benchmarking effort of these algorithms, a recent study by Salcedo and colleagues found that algorithmic and experimental choices are the main drivers of the accuracy of tumor evolution reconstruction, shedding new light on interpreting previous studies and suggesting a useful path forward for the research community.

中文翻译：

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肿瘤演化重建很大程度上受到算法和实验选择的影响


肿瘤进展是一个进化过程，在此过程中细胞获得独特的遗传改变。一些癌症进化研究通过对肿瘤样本进行批量 DNA 测序来重建这一进化过程，以使用各种肿瘤进化算法推断遗传改变的存在。通过对这些算法进行全面的基准测试，Salcedo 及其同事最近的一项研究发现，算法和实验选择是肿瘤进化重建准确性的主要驱动因素，为解释先前的研究提供了新的思路，并为研究提出了一条有用的前进道路社区。