New Tools for Lineage Tracing in Cancer In Vivo

被引:6
作者
Jones, Matthew G. [1 ,2 ,3 ,4 ,5 ,6 ,7 ]
Yang, Dian [1 ,2 ,3 ]
Weissman, Jonathan S. [1 ,2 ,3 ]
机构
[1] MIT, Whitehead Inst Biomed Res, Howard Hughes Med Inst, David H Koch Inst Integrat Canc Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] MIT, Dept Biol, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] Univ Calif San Francisco, Dept Cellular & Mol Pharmacol, San Francisco, CA 94143 USA
[4] Univ Calif San Francisco, Biol & Med Informat Grad Program, San Francisco, CA 94143 USA
[5] Univ Calif San Francisco, Integrat Program Quantitat Biol, San Francisco, CA 94143 USA
[6] Univ Calif Berkeley, Ctr Computat Biol, Berkeley, CA 94720 USA
[7] Stanford Univ, Sch Med, Ctr Personal Dynam Regulomes, Stanford, CA 94305 USA
来源
ANNUAL REVIEW OF CANCER BIOLOGY | 2023年 / 7卷
基金
美国国家卫生研究院;
关键词
cancer biology; lineage tracing; single-cell analysis; tumor evolution; cancer metastasis; cell barcoding; TUMOR EVOLUTION; CLONAL EVOLUTION; GENE-EXPRESSION; REVEALS; HETEROGENEITY; PROGRESSION; METASTASIS; GROWTH; CELLS; STATE;
D O I
10.1146/annurev-cancerbio-061421-123301
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
During tumor evolution, cancer cells can acquire the ability to proliferate, invade neighboring tissues, evade the immune system, and spread systemically. Tracking this process remains challenging, as many key events occur stochastically and over long times, which could be addressed by studying the phylogenetic relationships among cancer cells. Several lineage tracing approaches have been developed and employed in many tumor models and contexts, providing critical insights into tumor evolution. Recent advances in single-cell lineage tracing have greatly expanded the resolution, scale, and readout of lineage tracing toolkits. In this review, we provide an overview of static lineage tracing methods, and then focus on evolving lineage tracing technologies that enable reconstruction of tumor phylogenies at unprecedented resolution. We also discuss in vivo applications of these technologies to profile subclonal dynamics, quantify tumor plasticity, and track metastasis. Finally, we highlight outstanding questions and emerging technologies for building comprehensive cancer evolution roadmaps.
引用
收藏
页码:111 / 129
页数:19
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