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HGG-18. SINGLE CELL RNA-SEQ ANALYSIS OF PEDIATRIC HIGH-GRADE GLIOMA PATIENT SAMPLES IDENTIFIES COMMON GLIAL AND IMMUNE CELL TYPES THAT HELP TO EXPLAIN HETEROGENEITY AND TUMORIGENESIS

BACKGROUND: Pediatric high-grade gliomas (PHGG) are aggressive, undifferentiated central nervous system (CNS) tumors. PHGG comprises subtypes that differ phenotypically, histologically and by cellular composition. Despite intensive research, overall survival rates have remained for decades around 2%...

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Detalles Bibliográficos
Autores principales: DeSisto, John, Donson, Andrew, Griesinger, Andrea, Fu, Rui, Levy, Jean Mulcahy, Foreman, Nicholas, Vibhakar, Rajeev, Green, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259924/
http://dx.doi.org/10.1093/neuonc/noad073.167
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author DeSisto, John
Donson, Andrew
Griesinger, Andrea
Fu, Rui
Levy, Jean Mulcahy
Foreman, Nicholas
Vibhakar, Rajeev
Green, Adam
author_facet DeSisto, John
Donson, Andrew
Griesinger, Andrea
Fu, Rui
Levy, Jean Mulcahy
Foreman, Nicholas
Vibhakar, Rajeev
Green, Adam
author_sort DeSisto, John
collection PubMed
description BACKGROUND: Pediatric high-grade gliomas (PHGG) are aggressive, undifferentiated central nervous system (CNS) tumors. PHGG comprises subtypes that differ phenotypically, histologically and by cellular composition. Despite intensive research, overall survival rates have remained for decades around 2% for diffuse midline glioma (DMG) and 20% for non-DMG PHGG. We hypothesized that PHGG’s heterogeneity, a key difficulty in devising therapies, results from functional and lineage differences in tumor cell types. METHODS: Using 19 PHGG samples from our institution’s pediatric brain tumor bank, we constructed a single-cell RNA-Seq (scRNA-Seq) dataset that included tumor and immune cells, generated predicted cell types by mapping the scRNA-Seq data onto known cell types, and performed differential gene expression and geneset enrichment analyses. We acquired bulk RNA-Seq and DNA methylation data to characterize overall tumor properties. RESULTS: Samples consisted of several principal tumor cell types, including cells with astrocyte characteristics, oligodendrocyte progenitor cell (OPC) characteristics, and cells that expressed OPC markers but had slight enrichment in mesenchymal and inflammatory gene expression (OPC-like/Mes cells). We also found a potential stemlike population that expressed neural stem cell markers. The predicted astrocytes, OPCs and OPC-like/Mes cells differed in their gene expression profiles, pathway enrichment, and tendency to proliferate as assessed from expression of cell cycle genes. A combined microglia/macrophage population, strongly enriched in mesenchymal and inflammatory gene expression, may serve to induce inflammatory gene expression in tumor cells. Key conclusions from the scRNA-Seq analysis were validated using multi-channel immunofluorescence staining. CONCLUSIONS: PHGG comprises a small stemlike population and varying proportions of proliferating glial lineage tumor cells. CNS-resident microglia/macrophages may trigger mesenchymal gene expression in PHGG. We will use our results to investigate the roles of PHGG’s diverse tumor cell populations in resistance to radiotherapy and to develop treatments to target individual cell types comprising PHGG.
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spelling pubmed-102599242023-06-13 HGG-18. SINGLE CELL RNA-SEQ ANALYSIS OF PEDIATRIC HIGH-GRADE GLIOMA PATIENT SAMPLES IDENTIFIES COMMON GLIAL AND IMMUNE CELL TYPES THAT HELP TO EXPLAIN HETEROGENEITY AND TUMORIGENESIS DeSisto, John Donson, Andrew Griesinger, Andrea Fu, Rui Levy, Jean Mulcahy Foreman, Nicholas Vibhakar, Rajeev Green, Adam Neuro Oncol Final Category: High Grade Glioma/Gliomatosis Cerebri - HGG BACKGROUND: Pediatric high-grade gliomas (PHGG) are aggressive, undifferentiated central nervous system (CNS) tumors. PHGG comprises subtypes that differ phenotypically, histologically and by cellular composition. Despite intensive research, overall survival rates have remained for decades around 2% for diffuse midline glioma (DMG) and 20% for non-DMG PHGG. We hypothesized that PHGG’s heterogeneity, a key difficulty in devising therapies, results from functional and lineage differences in tumor cell types. METHODS: Using 19 PHGG samples from our institution’s pediatric brain tumor bank, we constructed a single-cell RNA-Seq (scRNA-Seq) dataset that included tumor and immune cells, generated predicted cell types by mapping the scRNA-Seq data onto known cell types, and performed differential gene expression and geneset enrichment analyses. We acquired bulk RNA-Seq and DNA methylation data to characterize overall tumor properties. RESULTS: Samples consisted of several principal tumor cell types, including cells with astrocyte characteristics, oligodendrocyte progenitor cell (OPC) characteristics, and cells that expressed OPC markers but had slight enrichment in mesenchymal and inflammatory gene expression (OPC-like/Mes cells). We also found a potential stemlike population that expressed neural stem cell markers. The predicted astrocytes, OPCs and OPC-like/Mes cells differed in their gene expression profiles, pathway enrichment, and tendency to proliferate as assessed from expression of cell cycle genes. A combined microglia/macrophage population, strongly enriched in mesenchymal and inflammatory gene expression, may serve to induce inflammatory gene expression in tumor cells. Key conclusions from the scRNA-Seq analysis were validated using multi-channel immunofluorescence staining. CONCLUSIONS: PHGG comprises a small stemlike population and varying proportions of proliferating glial lineage tumor cells. CNS-resident microglia/macrophages may trigger mesenchymal gene expression in PHGG. We will use our results to investigate the roles of PHGG’s diverse tumor cell populations in resistance to radiotherapy and to develop treatments to target individual cell types comprising PHGG. Oxford University Press 2023-06-12 /pmc/articles/PMC10259924/ http://dx.doi.org/10.1093/neuonc/noad073.167 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Final Category: High Grade Glioma/Gliomatosis Cerebri - HGG
DeSisto, John
Donson, Andrew
Griesinger, Andrea
Fu, Rui
Levy, Jean Mulcahy
Foreman, Nicholas
Vibhakar, Rajeev
Green, Adam
HGG-18. SINGLE CELL RNA-SEQ ANALYSIS OF PEDIATRIC HIGH-GRADE GLIOMA PATIENT SAMPLES IDENTIFIES COMMON GLIAL AND IMMUNE CELL TYPES THAT HELP TO EXPLAIN HETEROGENEITY AND TUMORIGENESIS
title HGG-18. SINGLE CELL RNA-SEQ ANALYSIS OF PEDIATRIC HIGH-GRADE GLIOMA PATIENT SAMPLES IDENTIFIES COMMON GLIAL AND IMMUNE CELL TYPES THAT HELP TO EXPLAIN HETEROGENEITY AND TUMORIGENESIS
title_full HGG-18. SINGLE CELL RNA-SEQ ANALYSIS OF PEDIATRIC HIGH-GRADE GLIOMA PATIENT SAMPLES IDENTIFIES COMMON GLIAL AND IMMUNE CELL TYPES THAT HELP TO EXPLAIN HETEROGENEITY AND TUMORIGENESIS
title_fullStr HGG-18. SINGLE CELL RNA-SEQ ANALYSIS OF PEDIATRIC HIGH-GRADE GLIOMA PATIENT SAMPLES IDENTIFIES COMMON GLIAL AND IMMUNE CELL TYPES THAT HELP TO EXPLAIN HETEROGENEITY AND TUMORIGENESIS
title_full_unstemmed HGG-18. SINGLE CELL RNA-SEQ ANALYSIS OF PEDIATRIC HIGH-GRADE GLIOMA PATIENT SAMPLES IDENTIFIES COMMON GLIAL AND IMMUNE CELL TYPES THAT HELP TO EXPLAIN HETEROGENEITY AND TUMORIGENESIS
title_short HGG-18. SINGLE CELL RNA-SEQ ANALYSIS OF PEDIATRIC HIGH-GRADE GLIOMA PATIENT SAMPLES IDENTIFIES COMMON GLIAL AND IMMUNE CELL TYPES THAT HELP TO EXPLAIN HETEROGENEITY AND TUMORIGENESIS
title_sort hgg-18. single cell rna-seq analysis of pediatric high-grade glioma patient samples identifies common glial and immune cell types that help to explain heterogeneity and tumorigenesis
topic Final Category: High Grade Glioma/Gliomatosis Cerebri - HGG
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259924/
http://dx.doi.org/10.1093/neuonc/noad073.167
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