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空间转录组学分析确定弥漫性高级别胶质瘤的治疗靶点。

Spatial transcriptomics analysis identifies therapeutic targets in diffuse high-grade gliomas.

作者信息

Yang Yongtao, Hong Yingzhou, Zhao Kai, Huang Minhao, Li Wenhu, Zhang Kui, Zhao Ninghui

机构信息

Department of Neurosurgery, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.

Center for Life Sciences, School of Life Sciences, Yunnan University, Kunming, China.

出版信息

Front Mol Neurosci. 2024 Oct 24;17:1466302. doi: 10.3389/fnmol.2024.1466302. eCollection 2024.

Abstract

INTRODUCTION

Diffuse high-grade gliomas are the most common malignant adult neuroepithelial tumors in humans and a leading cause of cancer-related death worldwide. The advancement of high throughput transcriptome sequencing technology enables rapid and comprehensive acquisition of transcriptome data from target cells or tissues. This technology aids researchers in understanding and identifying critical therapeutic targets for the prognosis and treatment of diffuse high-grade glioma.

METHODS

Spatial transcriptomics was conducted on two cases of isocitrate dehydrogenase (IDH) wild-type diffuse high-grade glioma (Glio-IDH-wt) and two cases of IDH-mutant diffuse high-grade glioma (Glio-IDH-mut). Gene set enrichment analysis and clustering analysis were employed to pinpoint differentially expressed genes (DEGs) involved in the progression of diffuse high-grade gliomas. The spatial distribution of DEGs in the spatially defined regions of human glioma tissues was overlaid in the t-distributed stochastic neighbor embedding (t-SNE) plots.

RESULTS

We identified a total of 10,693 DEGs, with 5,677 upregulated and 5,016 downregulated, in spatially defined regions of diffuse high-grade gliomas. Specifically, , , , and exhibited high expression in carcinoma regions of both Glio-IDH-wt and Glio-IDH-mut, and 3 upregulated DEGs (, , and ) and 4 upregulated DEGs (, , , and ) were only identified in tumor regions of Glio-IDH-wt and Glio-IDH-mut, respectively. Moreover, Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology (GO) enrichment analyses revealed that upregulated DEGs were closely related to PI3K/Akt signaling pathway, virus infection, and cytokine-cytokine receptor interaction. Importantly, the expression of these DEGs was validated using GEPIA databases. Furthermore, the study identified spatial expression patterns of key regulatory genes, including those involved in protein post-translational modification and RNA binding protein-encoding genes, with spatially defined regions of diffuse high-grade glioma.

DISCUSSION

Spatial transcriptome analysis is one of the breakthroughs in the field of medical biotechnology as this can map the analytes such as RNA information in their physical location in tissue sections. Our findings illuminate previously unexplored spatial expression profiles of key biomarkers in diffuse high-grade glioma, offering novel insight for the development of therapeutic strategies in glioma.

摘要

引言

弥漫性高级别胶质瘤是人类最常见的成人恶性神经上皮肿瘤,也是全球癌症相关死亡的主要原因。高通量转录组测序技术的进步使得能够从靶细胞或组织中快速、全面地获取转录组数据。这项技术有助于研究人员理解和识别弥漫性高级别胶质瘤预后和治疗的关键治疗靶点。

方法

对两例异柠檬酸脱氢酶(IDH)野生型弥漫性高级别胶质瘤(Glio-IDH-wt)和两例IDH突变型弥漫性高级别胶质瘤(Glio-IDH-mut)进行空间转录组学分析。采用基因集富集分析和聚类分析来确定参与弥漫性高级别胶质瘤进展的差异表达基因(DEG)。在t分布随机邻域嵌入(t-SNE)图中叠加人类胶质瘤组织空间定义区域中DEG的空间分布。

结果

在弥漫性高级别胶质瘤的空间定义区域中,我们总共鉴定出10693个DEG,其中5677个上调,5016个下调。具体而言, 、 、 和 在Glio-IDH-wt和Glio-IDH-mut的癌区域均表现出高表达,并且分别仅在Glio-IDH-wt和Glio-IDH-mut的肿瘤区域中鉴定出3个上调的DEG( 、 和 )和4个上调的DEG( 、 、 和 )。此外,京都基因与基因组百科全书(KEGG)和基因本体论(GO)富集分析表明,上调的DEG与PI3K/Akt信号通路、病毒感染和细胞因子-细胞因子受体相互作用密切相关。重要的是,使用GEPIA数据库验证了这些DEG的表达。此外,该研究确定了关键调节基因的空间表达模式,包括参与蛋白质翻译后修饰的基因和RNA结合蛋白编码基因,以及弥漫性高级别胶质瘤的空间定义区域。

讨论

空间转录组分析是医学生物技术领域的突破之一,因为它可以将诸如RNA信息等分析物映射到组织切片中的物理位置。我们的研究结果揭示了弥漫性高级别胶质瘤中关键生物标志物以前未被探索的空间表达谱,为胶质瘤治疗策略的开发提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/62de/11552449/ad6692ead05c/fnmol-17-1466302-g001.jpg

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