PO.TB09.03 · 肿瘤生物学
患者来源类器官生物样本库保留肿瘤异质性和分子特征
Patient-derived organoid biobanks preserve tumor heterogeneity and molecular signatures
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摘要 Abstract
中文摘要
肿瘤异质性——既存在于单个肿瘤内部,也存在于不同患者之间——对有效的癌症治疗构成重大挑战。为推进精准肿瘤学,能够捕捉这种复杂性的临床前模型至关重要。患者来源类器官(PDO)提供了一个具有生理相关性的平台,能够维持原始肿瘤的结构和多样性,使其成为研究异质性和患者特异性生物学的理想工具。在本研究中,我们建立并表征了来自结直肠癌和膀胱癌的PDO生物样本库,以评估其代表肿瘤内异质性和患者特异性分子特征的能力。我们使用全外显子组测序和批量RNA测序对类器官进行图谱分析,以评估其基因组和转录组的保真度。我们的分析显示,PDO保留了原始肿瘤的关键突变谱和转录程序,包括亚型特异性特征。重要的是,我们在单个PDO培养物内观察到反映肿瘤内多样性的不同细胞亚群,包括干细胞样和分化表型。这些特征随时间持续存在,证实了体外异质性的稳定性。在整个生物样本库中,PDO捕捉了结直肠癌和膀胱癌中存在的分子亚型谱,从而能够进行亚型特异性药物测试和生物标志物发现。这种多样性凸显了PDO平台建模患者变异性并为个体化治疗策略提供依据的潜力。我们的研究结果表明,PDO不仅是患者肿瘤的准确代表,还是在多个层面保留异质性的动态系统。通过将基因组和转录组图谱分析与功能检测相整合,PDO生物样本库为研究肿瘤复杂性和加速精准医学提供了强大的资源。
查看英文原文 English abstract
Tumor heterogeneity-both within individual tumors and among different patients-poses a significant challenge for effective cancer treatment. To advance precision oncology, preclinical models that capture this complexity are essential. Patient-derived organoids (PDOs) provide a physiologically relevant platform that maintains the architecture and diversity of the original tumor, making them ideal for studying heterogeneity and patient-specific biology. In this study, we established and characterized PDO biobanks from colorectal and bladder cancers to evaluate their ability to represent intra-tumor heterogeneity and patient-specific molecular signatures. We profiled organoids using whole-exome sequencing and bulk RNA sequencing to assess their genomic and transcriptomic fidelity. Our analyses revealed that PDOs retain key mutational profiles and transcriptional programs of the original tumors, including subtype-specific signatures. Importantly, we observed distinct cellular subpopulations within individual PDO cultures that reflect intra-tumor diversity, including stem-like and differentiated phenotypes. These features persisted over time, confirming the stability of heterogeneity in vitro. Across the biobank, PDOs captured the spectrum of molecular subtypes present in colorectal and bladder cancers, enabling subtype-specific drug testing and biomarker discovery. This diversity highlights the potential of PDO platforms to model patient variability and inform personalized therapeutic strategies. Our findings demonstrate that PDOs are not only accurate representations of patient tumors but also dynamic systems that preserve heterogeneity at multiple levels. By integrating genomic and transcriptomic profiling with functional assays, PDO biobanks provide a powerful resource for studying tumor complexity and accelerating precision medicine.
利益披露 Disclosure
R. Overmeer, None..
F. Pourfarzad, None.
A. Hernandez Segura,
Merus Employment.
M. Derksen, None..
C. Verissimo, None..
R. G. J. Vries, None..
S. F. Boj, None.