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OTEH-10. Evolutionary trajectory of epigenomic of gliomas

Gliomas are the most common malignant brain tumor, have an aggressive behavior, and invariably relapse and progress. Despite the recent advancements, little is known about the role of the epigenome in glioma disease progression and recurrence. To investigate the molecular dynamics over time and in r...

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Autores principales: Malta, Tathiane, Sabedot, Thais, Datta, Indrani, Varn, Frederick, Castro, AnaValeria, Garofano, Luciano, Verhaak, Roel, Iavarone, Antonio, Poisson, Laila, Noushmehr, Houtan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255460/
http://dx.doi.org/10.1093/noajnl/vdab070.049
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author Malta, Tathiane
Sabedot, Thais
Datta, Indrani
Varn, Frederick
Castro, AnaValeria
Garofano, Luciano
Verhaak, Roel
Iavarone, Antonio
Poisson, Laila
Noushmehr, Houtan
author_facet Malta, Tathiane
Sabedot, Thais
Datta, Indrani
Varn, Frederick
Castro, AnaValeria
Garofano, Luciano
Verhaak, Roel
Iavarone, Antonio
Poisson, Laila
Noushmehr, Houtan
author_sort Malta, Tathiane
collection PubMed
description Gliomas are the most common malignant brain tumor, have an aggressive behavior, and invariably relapse and progress. Despite the recent advancements, little is known about the role of the epigenome in glioma disease progression and recurrence. To investigate the molecular dynamics over time and in response to therapeutic pressures, the Glioma Longitudinal AnalySiS (GLASS) Consortium, a multinational collaboration, is investigating epigenome-wide molecular data from primary and recurrent matched pairs, including IDH mutant (IDHmut) and IDH wildtype (IDHwt) gliomas. We have compiled a total of 357 samples comprising 143 primary-recurrent pairs profiled by DNA methylation, of which 157 samples have genomic data (WXS/WGS) and 120 have transcriptomic data (RNAseq). IDHwt gliomas have a distinct epigenetic evolution compared to IDHmut after treatment. IDHwt gliomas are more epigenetically stable over time, while IDHmut gliomas display a loss of DNA methylation throughout disease progression. Next, we investigated the molecular drivers of longitudinal gliomas by integration of DNA methylation and gene expression data. We identified epigenetic activation of cell cycle pathways in recurrent IDHmut compared to initial tumors. Transcription factors musculin, ZNF367, and ZNF682 are enriched among recurrent IDHmut gliomas and potentially regulate IDHmut recurrence and/or progression. We next used a DNA methylation-based deconvolution approach to estimate the tumor microenvironment (TME) composition. We found that the TME among IDHmut subtypes (Codel, GCIMP-high, and GCIMP-low) presented less immune infiltration than IDHwt (Classic-like, Mesenchymal-like, and PA-like). Post-treatment, we found a decrease of CD4+T and an increase of CD8+T cells in IDHmut. In conclusion, IDHmut gliomas present a more unstable epigenome, while the epigenome of IDHwt gliomas seems relatively preserved after treatment. We identified potential master regulators of cell cycle deregulation of IDHmut recurrence. Finally, the TME differs across IDHmut and IDHwt gliomas and the cell composition changes over time.
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spelling pubmed-82554602021-07-06 OTEH-10. Evolutionary trajectory of epigenomic of gliomas Malta, Tathiane Sabedot, Thais Datta, Indrani Varn, Frederick Castro, AnaValeria Garofano, Luciano Verhaak, Roel Iavarone, Antonio Poisson, Laila Noushmehr, Houtan Neurooncol Adv Supplement Abstracts Gliomas are the most common malignant brain tumor, have an aggressive behavior, and invariably relapse and progress. Despite the recent advancements, little is known about the role of the epigenome in glioma disease progression and recurrence. To investigate the molecular dynamics over time and in response to therapeutic pressures, the Glioma Longitudinal AnalySiS (GLASS) Consortium, a multinational collaboration, is investigating epigenome-wide molecular data from primary and recurrent matched pairs, including IDH mutant (IDHmut) and IDH wildtype (IDHwt) gliomas. We have compiled a total of 357 samples comprising 143 primary-recurrent pairs profiled by DNA methylation, of which 157 samples have genomic data (WXS/WGS) and 120 have transcriptomic data (RNAseq). IDHwt gliomas have a distinct epigenetic evolution compared to IDHmut after treatment. IDHwt gliomas are more epigenetically stable over time, while IDHmut gliomas display a loss of DNA methylation throughout disease progression. Next, we investigated the molecular drivers of longitudinal gliomas by integration of DNA methylation and gene expression data. We identified epigenetic activation of cell cycle pathways in recurrent IDHmut compared to initial tumors. Transcription factors musculin, ZNF367, and ZNF682 are enriched among recurrent IDHmut gliomas and potentially regulate IDHmut recurrence and/or progression. We next used a DNA methylation-based deconvolution approach to estimate the tumor microenvironment (TME) composition. We found that the TME among IDHmut subtypes (Codel, GCIMP-high, and GCIMP-low) presented less immune infiltration than IDHwt (Classic-like, Mesenchymal-like, and PA-like). Post-treatment, we found a decrease of CD4+T and an increase of CD8+T cells in IDHmut. In conclusion, IDHmut gliomas present a more unstable epigenome, while the epigenome of IDHwt gliomas seems relatively preserved after treatment. We identified potential master regulators of cell cycle deregulation of IDHmut recurrence. Finally, the TME differs across IDHmut and IDHwt gliomas and the cell composition changes over time. Oxford University Press 2021-07-05 /pmc/articles/PMC8255460/ http://dx.doi.org/10.1093/noajnl/vdab070.049 Text en © The Author(s) 2021. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Supplement Abstracts
Malta, Tathiane
Sabedot, Thais
Datta, Indrani
Varn, Frederick
Castro, AnaValeria
Garofano, Luciano
Verhaak, Roel
Iavarone, Antonio
Poisson, Laila
Noushmehr, Houtan
OTEH-10. Evolutionary trajectory of epigenomic of gliomas
title OTEH-10. Evolutionary trajectory of epigenomic of gliomas
title_full OTEH-10. Evolutionary trajectory of epigenomic of gliomas
title_fullStr OTEH-10. Evolutionary trajectory of epigenomic of gliomas
title_full_unstemmed OTEH-10. Evolutionary trajectory of epigenomic of gliomas
title_short OTEH-10. Evolutionary trajectory of epigenomic of gliomas
title_sort oteh-10. evolutionary trajectory of epigenomic of gliomas
topic Supplement Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255460/
http://dx.doi.org/10.1093/noajnl/vdab070.049
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