Quinn Jeffrey J, Jones Matthew G, Okimoto Ross A, Nanjo Shigeki, Chan Michelle M, Yosef Nir, Bivona Trever G, Weissman Jonathan S
Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA, USA.
Science. 2021 Feb 26;371(6532). doi: 10.1126/science.abc1944. Epub 2021 Jan 21.
Detailed phylogenies of tumor populations can recount the history and chronology of critical events during cancer progression, such as metastatic dissemination. We applied a Cas9-based, single-cell lineage tracer to study the rates, routes, and drivers of metastasis in a lung cancer xenograft mouse model. We report deeply resolved phylogenies for tens of thousands of cancer cells traced over months of growth and dissemination. This revealed stark heterogeneity in metastatic capacity, arising from preexisting and heritable differences in gene expression. We demonstrate that these identified genes can drive invasiveness and uncovered an unanticipated suppressive role for We also show that metastases disseminated via multidirectional tissue routes and complex seeding topologies. Overall, we demonstrate the power of tracing cancer progression at subclonal resolution and vast scale.
肿瘤群体的详细系统发育可以追溯癌症进展过程中关键事件的历史和时间顺序,例如转移扩散。我们应用了一种基于Cas9的单细胞谱系追踪器,以研究肺癌异种移植小鼠模型中转移的速率、途径和驱动因素。我们报告了在数月的生长和扩散过程中追踪到的数万个癌细胞的深度解析系统发育。这揭示了转移能力的显著异质性,其源于基因表达中预先存在的和可遗传的差异。我们证明,这些鉴定出的基因可以驱动侵袭性,并发现了一个意想不到的抑制作用。我们还表明,转移通过多方向组织途径和复杂的播种拓扑结构进行扩散。总体而言,我们展示了在亚克隆分辨率和大规模水平上追踪癌症进展的能力。