High-throughput 3D engineered paediatric tumour models for precision medicine.

IF 7.7 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
MoonSun Jung, Valentina Poltavets, Joanna N Skhinas, Gabor Tax, Alvin Kamili, Jinhan Xie, Sarah Ghamrawi, Philipp Graber, Jie Mao, Marie Wong-Erasmus, Louise Cui, Kathleen Kimpton, Pooja Venkat, Chelsea Mayoh, Angela Lin, Emmy D G Fleuren, Ashleigh M Fordham, Zara Barger, John Grady, David M Thomas, Eric Y Du, Nicole S Graf, Mark J Cowley, Andrew J Gifford, Jamie I Fletcher, Loretta M S Lau, M Emmy M Dolman, J Justin Gooding, Maria Kavallaris
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引用次数: 0

Abstract

Precision medicine for paediatric and adult cancers that incorporates drug sensitivity profiling can identify effective therapies for individual patients. However, obtaining adequate biopsy samples for high-throughput (HTP) screening remains challenging, with tumours needing to be expanded in culture or patient-derived xenografts, this is time-consuming and often unsuccessful. Herein, we have developed paediatric patient-derived tumour models using an engineered extracellular matrix (ECM) tissue mimic hydrogel system and HTP 3D bioprinting. Gene expression analysis from a neuroblastoma and sarcoma paediatric patient cohort identified key components of the ECM in these tumour types. Engineered hydrogels with ECM-mimic peptides were used to bioprint and create patient-specific tumouroids using patient-derived cells from xenograft models, and the approach was further confirmed on direct patient tumour samples. Bioprinted tumouroids from the PDX models recapitulated the genetic and phenotypic characteristics of the original tumours and retained tumourigenicity. HTP drug screening of these models identified individualised drug sensitivities. Our approach offers a timely and clinically relevant technology platform for precision medicine in paediatric cancers, potentially transforming preclinical testing across multiple cancer types.

高精度医学的高通量3D工程儿科肿瘤模型。
结合药物敏感性分析的儿科和成人癌症精准医学可以为个体患者确定有效的治疗方法。然而,获得足够的活检样本进行高通量(HTP)筛查仍然具有挑战性,肿瘤需要在培养或患者来源的异种移植物中扩大,这是耗时且通常不成功的。在此,我们利用工程细胞外基质(ECM)组织模拟水凝胶系统和HTP 3D生物打印技术开发了儿科患者来源的肿瘤模型。来自神经母细胞瘤和肉瘤患儿队列的基因表达分析确定了这些肿瘤类型中ECM的关键组成部分。利用来自异种移植模型的患者来源的细胞,将带有ecm模拟肽的工程水凝胶用于生物打印和创建患者特异性类肿瘤,并在直接患者肿瘤样本上进一步证实了该方法。来自PDX模型的生物打印类肿瘤再现了原始肿瘤的遗传和表型特征,并保留了致瘤性。这些模型的HTP药物筛选确定了个体化药物敏感性。我们的方法为儿科癌症的精准医学提供了一个及时和临床相关的技术平台,有可能改变多种癌症类型的临床前测试。
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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