使用细胞条形码技术研究 3D 球体模型系统中的耐药进化动力学。

Investigation of evolutionary dynamics for drug resistance in 3D spheroid model system using cellular barcoding technology.

机构信息

Department of Biological Sciences, Middle East Technical University, Çankaya, Ankara, Turkey.

出版信息

PLoS One. 2023 Sep 26;18(9):e0291942. doi: 10.1371/journal.pone.0291942. eCollection 2023.

Abstract

Complex evolutionary dynamics governing the drug resistance is one of the major challenges in cancer treatment. Understanding these mechanisms requires a sequencing technology with higher resolution to delineate whether pre-existing or de novo drug mechanisms are behind the drug resistance. Combining this technology with clinically very relevant model system, namely 3D spheroids, better mimicking tumorigenesis and drug resistance have so far been lacking. Thus, we sought to establish dabrafenib and irinotecan resistant derivatives of barcoded 3D spheroids with the ultimate aim to quantify the selection-induced clonal dynamics and identify the genomic determinants in this model system. We found that dabrafenib and irinotecan induced drug resistance in 3D-HT-29 and 3D-HCT-116 spheroids are mediated by pre-existing and de novo resistant barcodes, indicating the presence of polyclonal drug resistance in this system. Moreover, whole-exome sequencing analysis found chromosomal gains and mutations associated with dabrafenib and irinotecan resistance in 3D-HT-29 and 3D-HCT-116 spheroids. Last, we show that dabrafenib and irinotecan resistance are also mediated by multiple drug resistance by detection of upregulation of the drug efflux pumps, ABCB1 and ABCG2, in our spheroid model system. Overall, we present the quantification of drug resistance and evolutionary dynamics in spheroids for the first time using cellular barcoding technology and the underlying genomic determinants of the drug resistance in our model system.

摘要

复杂的耐药进化动力学是癌症治疗的主要挑战之一。理解这些机制需要一种具有更高分辨率的测序技术,以描绘耐药性是由预先存在的还是新出现的药物机制引起的。将这项技术与临床非常相关的模型系统(即 3D 球体)相结合,更好地模拟肿瘤发生和耐药性,到目前为止还一直缺乏。因此,我们试图建立带有条形码的 3D 球体的达拉非尼和伊立替康耐药衍生体,最终目的是量化选择诱导的克隆动力学,并在该模型系统中确定基因组决定因素。我们发现,3D-HT-29 和 3D-HCT-116 球体中的达拉非尼和伊立替康诱导的耐药性是由预先存在的和新出现的耐药条形码介导的,这表明该系统存在多克隆耐药性。此外,全外显子组测序分析发现,3D-HT-29 和 3D-HCT-116 球体中与达拉非尼和伊立替康耐药相关的染色体增益和突变。最后,我们通过检测我们的球体模型系统中药物外排泵 ABCB1 和 ABCG2 的上调,表明达拉非尼和伊立替康耐药也是由多药耐药介导的。总的来说,我们首次使用细胞条形码技术对球体中的耐药性和进化动力学进行了定量,并确定了我们模型系统中耐药的潜在基因组决定因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0dd6/10521976/ff7cb4297a79/pone.0291942.g001.jpg

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