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METB-02. DECIPHERING THE CELLULAR HETEROGENEITY OF INFANT-TYPE HEMISPHERIC GLIOMAS USING SINGLE-NUCLEI MULTI-OMICS
Infant-type hemispheric gliomas (IHGs) have recently been recognized as a new tumor entity. Compared to other types of pediatric gliomas, most IHGs distinctively harbor a fusion in a cluster of receptor tyrosine kinase (RTK) genes: the NTRK family, ROS1, ALK, or MET. Clinically, IHG patients appear...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260177/ http://dx.doi.org/10.1093/neuonc/noad073.119 |
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author | De Micheli, Andrea J Zápotocký, Michal Cavalli, Florence M G Guerreiro Stücklin, Ana S |
author_facet | De Micheli, Andrea J Zápotocký, Michal Cavalli, Florence M G Guerreiro Stücklin, Ana S |
author_sort | De Micheli, Andrea J |
collection | PubMed |
description | Infant-type hemispheric gliomas (IHGs) have recently been recognized as a new tumor entity. Compared to other types of pediatric gliomas, most IHGs distinctively harbor a fusion in a cluster of receptor tyrosine kinase (RTK) genes: the NTRK family, ROS1, ALK, or MET. Clinically, IHG patients appear to be associated with better outcomes compared to older children with high-grade tumors. While large-scale genomic studies have helped uncovered the complex molecular landscape and clinical features of IHGs, little is known about the underlying biology – specifically how tumor heterogeneity may explain the spectrum of clinical presentations and progression of the disease. Using single-nuclei multi-omic (RNA/ATAC-seq) profiling, we assembled a comprehensive atlas of IHG tumor cells from a cohort of patients spanning different age groups and RTK fusion subtypes. We measured that tumor single-nuclei transcriptomes clustered into distinct subpopulations and contained genes expressed by the normal brain cell lineages. Data integration with single-cell atlases from the developing brain allowed us to rank tumor cell subpopulations according to their developmental stage, with age- and fusion-specific differences. Using trajectory inference and gene expression velocity modeling, we describe a hierarchical and dynamic organization between subpopulations, potentially illustrating the role of phenotypic plasticity in glioma formation. Moreover, we measured in fragments of open chromatin a cell-type specific enrichment of binding sites for transcription factors known to regulate brain cell maturation. Taken together, our multi-modal atlas describes the cellular and functional heterogeneity of IHGs, paving the way towards a greater understating of its unique biology and clinical consequences. |
format | Online Article Text |
id | pubmed-10260177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-102601772023-06-13 METB-02. DECIPHERING THE CELLULAR HETEROGENEITY OF INFANT-TYPE HEMISPHERIC GLIOMAS USING SINGLE-NUCLEI MULTI-OMICS De Micheli, Andrea J Zápotocký, Michal Cavalli, Florence M G Guerreiro Stücklin, Ana S Neuro Oncol Final Category: Genomics/Epigenomics/Metabolomics - METB Infant-type hemispheric gliomas (IHGs) have recently been recognized as a new tumor entity. Compared to other types of pediatric gliomas, most IHGs distinctively harbor a fusion in a cluster of receptor tyrosine kinase (RTK) genes: the NTRK family, ROS1, ALK, or MET. Clinically, IHG patients appear to be associated with better outcomes compared to older children with high-grade tumors. While large-scale genomic studies have helped uncovered the complex molecular landscape and clinical features of IHGs, little is known about the underlying biology – specifically how tumor heterogeneity may explain the spectrum of clinical presentations and progression of the disease. Using single-nuclei multi-omic (RNA/ATAC-seq) profiling, we assembled a comprehensive atlas of IHG tumor cells from a cohort of patients spanning different age groups and RTK fusion subtypes. We measured that tumor single-nuclei transcriptomes clustered into distinct subpopulations and contained genes expressed by the normal brain cell lineages. Data integration with single-cell atlases from the developing brain allowed us to rank tumor cell subpopulations according to their developmental stage, with age- and fusion-specific differences. Using trajectory inference and gene expression velocity modeling, we describe a hierarchical and dynamic organization between subpopulations, potentially illustrating the role of phenotypic plasticity in glioma formation. Moreover, we measured in fragments of open chromatin a cell-type specific enrichment of binding sites for transcription factors known to regulate brain cell maturation. Taken together, our multi-modal atlas describes the cellular and functional heterogeneity of IHGs, paving the way towards a greater understating of its unique biology and clinical consequences. Oxford University Press 2023-06-12 /pmc/articles/PMC10260177/ http://dx.doi.org/10.1093/neuonc/noad073.119 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: Genomics/Epigenomics/Metabolomics - METB De Micheli, Andrea J Zápotocký, Michal Cavalli, Florence M G Guerreiro Stücklin, Ana S METB-02. DECIPHERING THE CELLULAR HETEROGENEITY OF INFANT-TYPE HEMISPHERIC GLIOMAS USING SINGLE-NUCLEI MULTI-OMICS |
title | METB-02. DECIPHERING THE CELLULAR HETEROGENEITY OF INFANT-TYPE HEMISPHERIC GLIOMAS USING SINGLE-NUCLEI MULTI-OMICS |
title_full | METB-02. DECIPHERING THE CELLULAR HETEROGENEITY OF INFANT-TYPE HEMISPHERIC GLIOMAS USING SINGLE-NUCLEI MULTI-OMICS |
title_fullStr | METB-02. DECIPHERING THE CELLULAR HETEROGENEITY OF INFANT-TYPE HEMISPHERIC GLIOMAS USING SINGLE-NUCLEI MULTI-OMICS |
title_full_unstemmed | METB-02. DECIPHERING THE CELLULAR HETEROGENEITY OF INFANT-TYPE HEMISPHERIC GLIOMAS USING SINGLE-NUCLEI MULTI-OMICS |
title_short | METB-02. DECIPHERING THE CELLULAR HETEROGENEITY OF INFANT-TYPE HEMISPHERIC GLIOMAS USING SINGLE-NUCLEI MULTI-OMICS |
title_sort | metb-02. deciphering the cellular heterogeneity of infant-type hemispheric gliomas using single-nuclei multi-omics |
topic | Final Category: Genomics/Epigenomics/Metabolomics - METB |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10260177/ http://dx.doi.org/10.1093/neuonc/noad073.119 |
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