Stephanie N Brosius, Jonathan H Sussman, Isabella A DiStefano, Grant P Grothusen, Keanu N Natan, Isabelle Seka, Steven Foltz, Katherine Labella, Kristopher R Bosse, Kai Tan, Thomas De Raedt
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引用次数: 0
Abstract
Compared with the general population, individuals with neurofibromatosis type 1 have a 50-fold higher risk of developing a high-grade glioma (HGG) in their lifetime. Despite improved understanding of the molecular and cellular drivers of these neoplasms, we have yet to translate this knowledge into therapies that improve overall survival. One limitation has been the paucity of in vivo models for drug testing within this population. We generated three distinct glioma stem cell lines from HGGs arising in mice with Nf1 and Trp53 mutations in cis (NPcis) and characterized the allografts resulting from one Nf1-glioma stem cell line (Nf1-HGG17) by single-cell and single-nucleus RNA sequencing. Because our cell lines are grown in stem cell media, there is an inherent reduction of the differentiation states present in primary HGG, with only oligodendrocyte precursor-like and neural-like cells identified. However, orthotopic allografts of Nf1-HGG17 regained the other differentiation states typically observed in HGG and glioblastoma (neuronal progenitor cell-like and astrocyte-like). About half of the neoplastic cells cluster separately from these classical groups and highly express genes of the antigen presentation machinery, including Cd74, which we also observed in patient samples. Notably, heterozygosity of Nf1 within the tumor microenvironment does not cause marked changes in the immune tumor microenvironment, gene expression, or differentiation states of neoplastic cells. These data indicate that allografted HGG lines from NPcis mice are an effective model of NF1-HGG, mimicking the complexity observed in human HGG that can be used for larger-scale in vivo drug screening and evaluation.
期刊介绍:
Molecular Cancer Therapeutics will focus on basic research that has implications for cancer therapeutics in the following areas: Experimental Cancer Therapeutics, Identification of Molecular Targets, Targets for Chemoprevention, New Models, Cancer Chemistry and Drug Discovery, Molecular and Cellular Pharmacology, Molecular Classification of Tumors, and Bioinformatics and Computational Molecular Biology. The journal provides a publication forum for these emerging disciplines that is focused specifically on cancer research. Papers are stringently reviewed and only those that report results of novel, timely, and significant research and meet high standards of scientific merit will be accepted for publication.