EPISODE · Jul 2, 2026 · 23 MIN
1219-胶质瘤类器官平台预测个性化药物反应
from 聊聊Sci
这项研究介绍了一种患者来源的多形性胶质母细胞瘤类器官（GBO）平台，用于精准医疗和药物筛选。研究人员成功建立了能够保留原始肿瘤组织病理学、基因组及转录组特征的类器官模型，使其成为模拟人类疾病的理想工具。实验结果显示，该平台的药物敏感性测试（GBO-DST）在预测患者对替莫唑胺（TMZ）的临床反应方面，比传统的MGMT启动子甲基化状态更为精准。此外，通过深入的转录组分析，研究揭示了肿瘤产生先天性和获得性耐药的多种机制，如错配修复缺陷及基因表达上调。最后，该研究利用类器官筛选出了拉泽替尼（lazertinib）等潜在药物，为耐药性胶质母细胞瘤提供了新的治疗选择。References:Park J, Qiu M, Cho E J, et al. Patient-derived organoids predict personalized drug response and reveal alternative therapeutic options in glioblastoma[J]. Cell Reports Medicine, 2026.前往小宇宙评论区与主播互动
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1219-胶质瘤类器官平台预测个性化药物反应
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