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利用原代人神经干细胞和祖细胞对胶质瘤瘤内异质性进行建模。

Modeling glioma intratumoral heterogeneity with primary human neural stem and progenitor cells.

作者信息

Liu Daniel Dan, Gao Daniel, Womack-Gambrel Nicole L, Eastman Anna E, Ohene-Gambill Benjamin F, Weissman Irving L

机构信息

Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.

Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.

出版信息

Stem Cell Reports. 2025 Sep 9;20(9):102597. doi: 10.1016/j.stemcr.2025.102597. Epub 2025 Jul 31.

Abstract

Gliomas are notorious for their intratumoral heterogeneity, which drives therapy resistance. Glioma tumor cells mimic a neural stem cell (NSC) hierarchy reminiscent of normal brain development. How intratumoral heterogeneity is shaped by cell-of-origin and various driver mutations is not fully understood. We develop a model of glioma initiation using neural stem and progenitor cells (NSPCs) purified from midgestational human brain tissue, including tripotent NSCs, bipotent glial progenitor cells (GPCs), and unipotent oligodendrocyte progenitor cells (OPCs). We transduced these isogenic lines with defined combinations of oncogenic drivers (TP53, NF1, CDK4, EGFR, and PDGFRA) and transplanted them into mice. We find that OPC-derived tumors harbored a higher proportion of differentiated oligodendrocyte-like cells, reminiscent of low-grade oligodendrogliomas. CDK4 drove a neuron-like subtype, while EGFR drove a GPC-like subtype. Our platform is highly adaptable and allows for modular and systematic interrogation of how cell-of-origin and specific driver mutations shape the tumor landscape.

摘要

胶质瘤因其瘤内异质性而臭名昭著,这种异质性导致治疗耐药。胶质瘤肿瘤细胞模拟神经干细胞(NSC)层级结构,类似于正常脑发育。肿瘤起源细胞和各种驱动突变如何塑造瘤内异质性尚未完全了解。我们利用从中期妊娠人脑组织中纯化的神经干细胞和祖细胞(NSPC),包括三能性NSC、双能性神经胶质祖细胞(GPC)和单能性少突胶质细胞祖细胞(OPC),构建了一个胶质瘤起始模型。我们用特定组合的致癌驱动因子(TP53、NF1、CDK4、EGFR和PDGFRA)转导这些同基因细胞系,并将它们移植到小鼠体内。我们发现,源自OPC的肿瘤含有更高比例的分化型少突胶质细胞样细胞,类似于低级别少突胶质细胞瘤。CDK4驱动形成神经元样亚型,而EGFR驱动形成GPC样亚型。我们的平台具有高度适应性,能够对肿瘤起源细胞和特定驱动突变如何塑造肿瘤格局进行模块化和系统性研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3372/12447335/ca689f1843d1/fx1.jpg

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