Single-cell omics decipher tumor evolution

Dekang Lv , Xuehong Zhang , Quentin Liu
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Abstract

Intra-tumor heterogeneity, the major cause of therapeutic resistance, results from the genetic, epigenetic and microenvironmental selective pressures during tumor progression. However, our knowledge of how this diversity emerges over time remains limited. Single-cell omics approaches, which provide high-resolution data on cellular composition, evolutionary dynamics and clonal relationships in tumor progression, have greatly expanded our toolkit for delineating tumor evolution. Here we summarize recent progress in decoding tumor evolution through single-cell omics measurements and discuss the challenges and opportunities in this emerging field.

单细胞组学破译肿瘤进化
肿瘤内异质性是治疗耐药的主要原因,是肿瘤进展过程中遗传、表观遗传和微环境选择压力的结果。然而,我们对这种多样性如何随着时间的推移而出现的了解仍然有限。单细胞组学方法提供了肿瘤进展过程中细胞组成、进化动力学和克隆关系的高分辨率数据,极大地扩展了我们描述肿瘤进化的工具箱。在这里,我们总结了通过单细胞组学测量解码肿瘤进化的最新进展,并讨论了这一新兴领域的挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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