Olivia Newton-John Cancer Research Institute, Heidelberg, Victoria, Australia.
School of Cancer Medicine, La Trobe University, Bundoora, Victoria, Australia.
Nat Rev Cancer. 2022 Nov;22(11):609-624. doi: 10.1038/s41568-022-00500-2. Epub 2022 Aug 18.
Tumours are often composed of a multitude of malignant clones that are genomically unique, and only a few of them may have the ability to escape cancer therapy and grow as symptomatic lesions. As a result, tumours with a large degree of genomic diversity have a higher chance of leading to patient death. However, clonal fate can be driven by non-genomic features. In this context, new technologies are emerging not only to track the spatiotemporal fate of individual cells and their progeny but also to study their molecular features using various omics analysis. In particular, the recent development of cellular barcoding facilitates the labelling of tens to millions of cancer clones and enables the identification of the complex mechanisms associated with clonal fate in different microenvironments and in response to therapy. In this Review, we highlight the recent discoveries made using lentiviral-based cellular barcoding techniques, namely genetic and optical barcoding. We also emphasize the strengths and limitations of each of these technologies and discuss some of the key concepts that must be taken into consideration when one is designing barcoding experiments. Finally, we suggest new directions to further improve the use of these technologies in cancer research.
肿瘤通常由具有独特基因组的大量恶性克隆组成,其中只有少数具有逃避癌症治疗并生长为有症状病变的能力。因此,具有高度基因组多样性的肿瘤更有可能导致患者死亡。然而,克隆命运可能受到非基因组特征的驱动。在这种情况下,不仅出现了新技术来跟踪单个细胞及其后代的时空命运,还使用各种组学分析来研究它们的分子特征。特别是,最近细胞条形码技术的发展使得可以标记数十到数百万个癌症克隆,并能够识别与不同微环境中的克隆命运相关的复杂机制,以及对治疗的反应。在这篇综述中,我们强调了使用基于慢病毒的细胞条形码技术(即遗传条形码和光学条形码)取得的最新发现。我们还强调了这些技术各自的优缺点,并讨论了在设计条形码实验时必须考虑的一些关键概念。最后,我们提出了一些新的方向,以进一步改进这些技术在癌症研究中的应用。