Dissecting the tumor microenvironment of epigenetically driven gliomas: Opportunities for single-cell and spatial multiomics

被引:0
|
作者
Sussman, Jonathan H. [1 ,2 ,6 ]
Xu, Jason [1 ,2 ]
Amankulor, Nduka [3 ]
Tan, Kai [4 ,5 ,6 ]
机构
[1] Univ Penn, Perelman Sch Med, Grad Grp Genom & Computat Biol, Philadelphia, PA USA
[2] Univ Penn, Med Scientist Training Program, Philadelphia, PA USA
[3] Univ Penn, Perelman Sch Med, Dept Neurosurg, Philadelphia, PA USA
[4] Univ Penn, Perelman Sch Med, Dept Pediat, Philadelphia, PA USA
[5] Childrens Hosp Philadelphia, Ctr Childhood Canc Res, Philadelphia, PA USA
[6] 3501 Civ Ctr Blvd, Philadelphia, PA 19104 USA
基金
美国国家卫生研究院;
关键词
histone-mutant glioma; IDH-mutant glioma; pediatric glioma; Single-cell sequencing; Spatial omics; RNA; TRANSCRIPTOMICS; IDH1; TRANSITIONS; ACTIVATION; SYSTEM; PDGFRA; TISSUE; STATES; ATLAS;
D O I
10.1093/noajnl/vdad101
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Malignant gliomas are incurable brain neoplasms with dismal prognoses and near-universal fatality, with minimal therapeutic progress despite billions of dollars invested in research and clinical trials over the last 2 decades. Many glioma studies have utilized disparate histologic and genomic platforms to characterize the stunning genomic, transcriptomic, and immunologic heterogeneity found in gliomas. Single-cell and spatial omics technologies enable unprecedented characterization of heterogeneity in solid malignancies and provide a granular annotation of transcriptional, epigenetic, and microenvironmental states with limited resected tissue. Heterogeneity in gliomas may be defined, at the broadest levels, by tumors ostensibly driven by epigenetic alterations (IDH- and histone-mutant) versus non-epigenetic tumors (IDH-wild type). Epigenetically driven tumors are defined by remarkable transcriptional programs, immunologically distinct microenvironments, and incompletely understood topography (unique cellular neighborhoods and cell-cell interactions). Thus, these tumors are the ideal substrate for single-cell multiomic technologies to disentangle the complex intra-tumoral features, including differentiation trajectories, tumor-immune cell interactions, and chromatin dysregulation. The current review summarizes the applications of single-cell multiomics to existing datasets of epigenetically driven glioma. More importantly, we discuss future capabilities and applications of novel multiomic strategies to answer outstanding questions, enable the development of potent therapeutic strategies, and improve personalized diagnostics and treatment via digital pathology.
引用
收藏
页数:12
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