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从单细胞RNA测序数据推断脑肿瘤的发育起源

Inferred developmental origins of brain tumors from single-cell RNA-sequencing data.

作者信息

Wang Su, Curry Rachel Naomi, McDonald Malcolm F, Koh Hyun Yong, Erickson Anders W, Kleinman Claudia L, Taylor Michael D, Rao Ganesh, Deneen Benjamin, Harmanci Arif O, Serin Harmanci Akdes

机构信息

Department of Neurosurgery, Baylor College of Medicine, Houston, Texas, USA.

Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, Texas, USA.

出版信息

Neurooncol Adv. 2025 Jan 23;7(1):vdaf016. doi: 10.1093/noajnl/vdaf016. eCollection 2025 Jan-Dec.

Abstract

BACKGROUND

The reactivation of neurodevelopmental programs in cancer highlights parallel biological processes that occur in both normal development and brain tumors. Achieving a deeper understanding of how dysregulated developmental factors play a role in the progression of brain tumors is therefore crucial for identifying potential targets for therapeutic interventions. Single-cell RNA-sequencing (scRNA-Seq) provides an opportunity to understand how developmental programs are dysregulated and reinitiated in brain tumors at single-cell resolution. The aim of this study is to identify the developmental origins of brain tumors using scRNA-Seq data.

METHODS

Here, we introduce COORS (Cell Of ORigin like CellS), a computational tool trained on developmental human brain single-cell datasets that annotates "developmental-like" cell states in brain tumors. COORS leverages cell type-specific multilayer perceptron models and incorporates a developmental cell type tree that reflects hierarchical relationships and models cell type probabilities.

RESULTS

Applying COORS to various brain cancer datasets, including medulloblastoma (MB), glioma, and diffuse midline glioma (DMG), we identified developmental-like cells that represent putative cells of origin in these tumors. Our method provides both cell of origin classification and cell age regression, offering insights into the developmental cell types of tumor subgroups. COORS identified outer radial glia developmental cells within IDH glioma cells whereas oligodendrocyte precursor cells (OPCs) and neuronal-like cells in IDH. Interestingly, IDH subgroup cells that map to OPC show bimodal distributions that are both early and late weeks in development. Furthermore, COORS offers a valuable resource by providing novel markers linked to developmental states within MB, glioma, and DMG tumor subgroups.

CONCLUSIONS

Our work adds to our cumulative understanding of brain tumor heterogeneity and helps pave the way for tailored treatment strategies.

摘要

背景

癌症中神经发育程序的重新激活突显了正常发育和脑肿瘤中发生的平行生物学过程。因此,深入了解失调的发育因子如何在脑肿瘤进展中发挥作用对于确定治疗干预的潜在靶点至关重要。单细胞RNA测序(scRNA-Seq)提供了一个机会,以单细胞分辨率了解发育程序在脑肿瘤中是如何失调和重新启动的。本研究的目的是利用scRNA-Seq数据确定脑肿瘤的发育起源。

方法

在此,我们引入了COORS(类起源细胞),这是一种在发育中的人类脑单细胞数据集上训练的计算工具,用于注释脑肿瘤中的“类发育”细胞状态。COORS利用细胞类型特异性多层感知器模型,并纳入了反映层次关系和模拟细胞类型概率的发育细胞类型树。

结果

将COORS应用于各种脑癌数据集,包括髓母细胞瘤(MB)、神经胶质瘤和弥漫性中线胶质瘤(DMG),我们鉴定出了代表这些肿瘤中假定起源细胞的类发育细胞。我们的方法提供了起源细胞分类和细胞年龄回归,深入了解了肿瘤亚组的发育细胞类型。COORS在异柠檬酸脱氢酶(IDH)神经胶质瘤细胞中鉴定出外侧放射状胶质发育细胞,而在IDH中鉴定出少突胶质前体细胞(OPC)和神经元样细胞。有趣的是,映射到OPC的IDH亚组细胞显示出发育早期和晚期的双峰分布。此外,COORS通过提供与MB、神经胶质瘤和DMG肿瘤亚组内发育状态相关的新标记,提供了有价值的资源。

结论

我们的工作增加了我们对脑肿瘤异质性的累积理解,并有助于为量身定制的治疗策略铺平道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb3/12046312/b5827e93e6bf/vdaf016_fig1.jpg

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