Genetic barcoding uncovers the clonal makeup of solid and liquid biopsies and their ability to capture intra-tumoral heterogeneity.

IF 6.7 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Molecular Systems Biology Pub Date : 2026-05-01 Epub Date: 2026-02-11 DOI:10.1038/s44320-026-00194-w
Antonin Serrano, Tom S Weber, Jean Berthelet, Sarah Ftouni, Farrah El-Saafin, Samuel Lee, Elgene Lim, Emmanuelle Charafe-Jauffret, Christophe Ginestier, David Williams, Frédéric Hollande, Belinda Yeo, Sarah-Jane Dawson, Shalin H Naik, Delphine Merino
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引用次数: 0

Abstract

Intratumoral heterogeneity (ITH) is fueling tumor progression in breast cancer, as specific clones present within a tumor may have a selective advantage to colonize distant organs and escape therapy. Accurate sampling of ITH is therefore a pressing challenge in clinical oncology to adequately predict recurrence and inform rational and personalized therapies. Here, we used genetic barcoding to track the spatiotemporal composition of human breast cancer clones in six preclinical models-across two cell lines and four patient-derived xenografts (PDXs). This allowed a direct side-by-side quantitative comparison of both intra-tumor clonal composition and how that composition was reflected in needle biopsies and cell-free DNA (cfDNA). These analyses highlighted several biologically and clinically relevant findings. First, the use of barcoding revealed that clonal diversity in the center of non-necrotic primary tumors was significantly higher than in the periphery. Second, cfDNA barcode analysis suggested that DNA 'shedding' in the vasculature varied widely, not only depending on necrosis and tumor burden but also across models. Third, combining information captured in both solid and liquid biopsies can provide a more robust assessment of tumor clonal composition. Taken together, these results showcase the utility of these barcoded models to optimize the use of solid and liquid biopsies as surrogates of tumor heterogeneity.

遗传条形码揭示了固体和液体活检的克隆组成及其捕获肿瘤内异质性的能力。
肿瘤内异质性(ITH)促进了乳腺癌的肿瘤进展,因为肿瘤内存在的特定克隆可能具有选择性优势,可以定植远端器官并逃避治疗。因此,ITH的准确采样是临床肿瘤学中一个紧迫的挑战,以充分预测复发并为合理和个性化的治疗提供信息。在这里,我们使用遗传条形码来追踪六个临床前模型中人类乳腺癌克隆的时空组成——跨越两个细胞系和四个患者来源的异种移植(PDXs)。这允许直接并排定量比较肿瘤内克隆组成以及该组成如何在针活检和无细胞DNA (cfDNA)中反映。这些分析强调了一些生物学和临床相关的发现。首先,条形码的使用表明,非坏死原发肿瘤中心的克隆多样性明显高于周围。其次,cfDNA条形码分析表明,脉管系统中的DNA“脱落”差异很大,不仅取决于坏死和肿瘤负荷,还取决于不同模型。第三,结合固体和液体活检中捕获的信息可以提供更可靠的肿瘤克隆组成评估。综上所述,这些结果展示了这些条形码模型在优化固体和液体活检作为肿瘤异质性替代品的使用方面的实用性。
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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来源期刊
Molecular Systems Biology
Molecular Systems Biology 生物-生化与分子生物学
CiteScore
18.50
自引率
1.00%
发文量
62
审稿时长
6-12 weeks
期刊介绍: Systems biology is a field that aims to understand complex biological systems by studying their components and how they interact. It is an integrative discipline that seeks to explain the properties and behavior of these systems. Molecular Systems Biology is a scholarly journal that publishes top-notch research in the areas of systems biology, synthetic biology, and systems medicine. It is an open access journal, meaning that its content is freely available to readers, and it is peer-reviewed to ensure the quality of the published work.
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