PO.TB05.03 · 肿瘤生物学
儿童癌症患者来源异种移植模型中染色体外DNA的保留与克隆行为
Preservation and clonal behavior of extrachromosomal DNA in patient-derived xenograft models of childhood cancers
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:染色体外DNA(ecDNA)是一类结构变异,与儿童癌症的不良预后相关。患者来源异种移植(PDX)模型是基础和转化癌症研究的关键工具,因为它们被认为能重现患者肿瘤中存在的分子特征和肿瘤内异质性。然而,ecDNA在选择压力下表现出独特的演化动力学,而ecDNA在PDX模型建立和传代过程中的行为在很大程度上尚未得到表征。本研究探讨PDX模型在代表原发肿瘤ecDNA方面的保真度。通过分析多种儿童实体瘤中ecDNA的序列组成和拷贝数保守性,我们评估PDX模型重现人类肿瘤中所观察到的ecDNA图景的程度。
方法:使用Amplicon Architect(一种重构局部扩增DNA区域以理解癌症基因组结构的工具),分析了338个PDX模型和127个相应原发肿瘤的全基因组测序(WGS)数据。比较了PDX模型与其匹配人类肿瘤之间的ecDNA状态、序列、拷贝数及相关基因。此外,对一个PDX肿瘤进行的多组学RNA和ATAC单细胞测序,使得能够将ecDNA肿瘤内异质性与先前从原发肿瘤获得的类似数据进行比较。
结果:PDX模型中的ecDNA在很大程度上重现了人类肿瘤中观察到的癌基因扩增谱,其中MYCN是最常扩增的基因。与原发肿瘤相比,大多数PDX模型(106/127,83%)的ecDNA状态保持不变,20%先前ecDNA阴性的病例在PDX建立过程中获得了ecDNA。因此,ecDNA在PDX模型中比在其相应人类肿瘤中更为普遍(McNemar检验,p = 0.0014)。对肿瘤-PDX配对中ecDNA序列的详细检查显示出高度保守性(67%具有>90%的序列重叠),但断点一致性存在差异。单细胞分析表明,来自原发肿瘤的罕见ecDNA阳性细胞优先驱动PDX肿瘤的发展。
结论:本研究强调了ecDNA在PDX模型中相对于儿童患者肿瘤的普遍性、致癌内容和保守性。我们观察到ecDNA经常重现人类癌症中发现的癌基因扩增,在PDX建立过程中通常得以保留,并反映出跨肿瘤类型的亚型特异性模式。这些发现支持PDX模型在研究ecDNA生物学中的应用价值及其对儿童癌症进展和治疗研究的意义。在PDX肿瘤生长过程中及治疗压力下进行纵向取样,可为理解分子演化、克隆选择和ecDNA驱动的治疗耐药的动力学提供宝贵见解。
查看英文原文 English abstract
Background: Extrachromosomal DNA (ecDNA) is a class of structural variants linked to poor prognosis in pediatric cancers. Patient-derived xenograft (PDX) models are crucial tools for basic and translational cancer research, as they are believed to recapitulate the molecular features and intratumoral heterogeneity present in patient tumors. However, ecDNA demonstrates unique evolutionary dynamics under selective pressure, and the behavior of ecDNA during PDX model development and propagation remains largely uncharacterized. This study investigates the fidelity of PDX models in representing ecDNA from primary tumors. By analyzing ecDNA sequence composition and copy number conservation across a variety of pediatric solid cancers, we evaluate the extent to which PDX models recapitulate the ecDNA landscape observed in human tumors.
Methods: Amplicon Architect, a tool that reconstructs focally amplified DNA regions to understand cancer genome architecture, was used to analyze the whole-genome sequencing (WGS) of 338 PDX models and 127 corresponding primary tumors. ecDNA status, sequence, copy number, and associated genes were compared between PDX models and their matched human tumors. Additionally, multiome RNA and ATAC single-cell sequencing of a PDX tumor enabled comparison of ecDNA intratumoral heterogeneity relative to similar data previously obtained from the primary tumor.
Results: ecDNA in PDX models largely recapitulated the spectrum of oncogene amplifications observed in human tumors, with MYCN being the most frequently amplified. ecDNA status remained unchanged for a majority of the PDX models (106/127, 83%) compared to the primary tumors, with 20% of previously ecDNA-negative cases acquiring ecDNA during PDX development. Consequently, ecDNA was more prevalent in the PDX models than in their corresponding human tumors (McNemar's test, p = 0.0014). Detailed examination of ecDNA sequences in tumor-PDX pairs showed substantial conservation (67% with >90% sequence overlap) but variable breakpoint concordance. Single-cell analysis demonstrated that rare ecDNA-positive cells from the primary tumor preferentially drive PDX tumor development.
Conclusion: This study highlights the prevalence, oncogenic content, and conservation of ecDNA in PDX models relative to pediatric patient tumors. We observed that ecDNA frequently recapitulates oncogene amplifications found in human cancers, is generally preserved during PDX establishment, and reflects subtype-specific patterns across tumor types. These findings support the utility of PDX models in studying ecDNA biology and their implications for the study of pediatric cancer progression and treatment. Longitudinal sampling during PDX tumor growth and under therapeutic pressure could provide valuable insights into the dynamics of molecular evolution, clonal selection, and ecDNA-driven therapy resistance.
利益披露 Disclosure
R. Kenkre, None..
J. D. Larson, None..
O. Chapman, None..
J. Luebeck, None..
Y. Yeun Lo, None..
P. Megan, None..
W. Zhang, None..
V. Bafna, None..
R. Wechsler-Reya, None.