Broad Institute of MIT and Harvard, Cambridge, MA, USA.
Br J Cancer. 2021 Aug;125(3):311-312. doi: 10.1038/s41416-021-01359-0. Epub 2021 Mar 29.
Cancer cell line models are a cornerstone of cancer research, yet our understanding of how well they represent the molecular features of patient tumours remains limited. Our recent work provides a computational approach to systematically compare large gene expression datasets to better understand which cell lines most closely resemble each tumour type, as well as identify potential gaps in our current cancer models.
癌细胞系模型是癌症研究的基石，但我们对它们在多大程度上代表患者肿瘤的分子特征的理解仍然有限。我们最近的工作提供了一种计算方法，可以系统地比较大型基因表达数据集，以更好地了解哪些细胞系与每种肿瘤类型最为相似，并确定我们当前癌症模型中的潜在差距。
