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培养皿中的精准肿瘤学:患者来源胶质瘤类器官指导新型治疗策略

英文原题:Precision oncology in a dish: patient-derived glioma organoids to guide novel therapeutic strategies.

PubMed 2026/02/06(内容时间) Biomark Res Q1 · IF 14.6(JCR 2025)

研究概要

我们的发现确立 GOs 是胶质瘤治疗筛选中具有临床相关性和生物学真实性的平台。

中文摘要

**背景:**胶质瘤是成人最常见的原发性脑肿瘤,涵盖IDH突变型胶质瘤至高度侵袭性的IDH野生型胶质母细胞瘤(GBM)。尽管对胶质瘤生物学认识不断加深,GBM仍基本无法治愈,中位总生存期约15个月,近几十年来改善有限。当前标准治疗为最大程度手术切除后进行放疗和替莫唑胺(TMZ)化疗,但效果仍不足;免疫检查点抑制剂和CAR-T细胞疗法等实验性方法也未带来有意义的生存获益。这些局限凸显了开发创新、个体化平台以评估新疗法的迫切需求。 **方法:**研究从61例患者建立患者来源胶质瘤类器官(GO),包括IDH突变型(GOmut)和IDH野生型胶质母细胞瘤(GOwt)。通过多种技术将类器官与对应亲本肿瘤进行表征。随后结合配对RNA测序数据开展计算机药物筛选,并在多种胶质瘤模型中验证结果。 **结果:**GO重现了亲本肿瘤的细胞异质性、组织学结构和分子特征,包括免疫谱、血管结构和肿瘤亚型等临床相关特征。值得注意的是,GOmut在长期培养过程中仍保留IDH突变。GO也保持了对标准化疗药物的耐药性,反映胶质瘤对常规化疗的有限应答。研究将配对肿瘤和GO的RNA测序数据输入DiSCoVER平台进行无偏计算筛选,发现阿来替尼、达拉非尼和鲁索替尼是有前景的候选药物。三种药物均在体外细胞毒实验中有效,其中阿来替尼和鲁索替尼在体外显示显著抗肿瘤作用。 **结论:**研究确立GO为具有临床相关性且能忠实反映肿瘤生物学特征的胶质瘤治疗筛选平台。通过整合基于转录组的药物发现与患者特异性类器官模型,研究提出一种易于实施的平台,以支持更有效、个体化的胶质瘤治疗;研究结果也支持在未来临床研究中评估阿来替尼和鲁索替尼。

展开英文摘要原文

BACKGROUND: Gliomas are the most common primary brain tumors in adults and encompass a spectrum from IDH-mutant gliomas to highly aggressive IDH-wild type glioblastomas (GBM). Despite advances in our understanding of glioma biology, GBM remains largely incurable, with a median overall survival (mOS) of approximately 15 months and minimal improvements over recent decades. The current standard of care, maximal surgical resection followed by radiotherapy and temozolomide (TMZ) chemotherapy, has proven insufficient, and experimental approaches such as immune checkpoint inhibitors and CAR-T cell therapies have also failed to provide meaningful survival benefits. These limitations highlight the urgent need for innovative, patient-specific platforms to evaluate novel therapeutic strategies. METHODS: In this study, we established patient-derived glioma organoids (GOs) from 61 patients, including both IDH-mutant gliomas (GOmut) and IDH-wild type glioblastoma (GOwt). These organoids were characterized by a variety of techniques against their parental tumors. Afterwards, we performed in silico drug discovery with paired RNA-seq data and validated the results with diverse glioma models. RESULTS: GOs recapitulated the cellular heterogeneity, histological architecture, and molecular signatures of their parental tumors, including the preservation of clinically relevant features such as immune profiles, vascular structures, and tumor subtype. Notably, GOmuts retained the IDH mutation over extended culture periods. Importantly, GOs maintained resistance to standard chemotherapeutic agents, mirroring the limited response of gliomas to conventional chemotherapy. Our unbiased in silico screening via the DiSCoVER platform applied to RNA-seq data from paired tumors and GOs identified alectinib, dabrafenib, and ruxolitinib as promising candidates. All three compounds proved effective in in vitro cytotoxicity assays, with alectinib and ruxolitinib displaying significant antitumoral effects in vitro. CONCLUSIONS: Our findings establish GOs as a clinically relevant and biologically faithful platform for therapeutic screening in glioma. By integrating transcriptomics-based drug discovery with a patient-specific organoid model, we present an easy to implement platform for more effective and personalized treatments for glioma patients. Our findings also support the inclusion of two compounds, alectinib and ruxolitinib, in future clinical investigations.

论文信息

作者
Monago-Sánchez A、Mateos-Madrigal L、Carrión-Navarro J、Hernández-Martínez A、Martínez-Riveiro C、Castelló-Pons M、Pacheco-Fuenmayor MV、Gutiérrez-González R
第一作者单位
Faculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain.Spain
通讯作者单位
Faculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain. angel.ayuso@isciii.es.Spain
期刊
Biomarker research2026 Feb 6
原文标识
PubMed 41652635 · DOI 10.1186/s40364-026-00894-3