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ECOA-5. Integrative 3D spatial characterization of genomic and epigenomic intratumoral heterogeneity in glioblastoma

Treatment failure in glioblastoma is often attributed to intratumoral heterogeneity (ITH), which fosters tumor evolution and selection of therapy-resistant clones. While genomic alterations are known contributors to ITH, emerging studies highlight functional roles for epigenomic ITH which integrates...

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Autores principales: Mathur, Radhika, Wang, Qixuan, Schupp, Patrick, Hilz, Stephanie, Hong, Chibo, Smirnov, Ivan, Lafontaine, Marisa, Nair, Devika, Iyyanaki, Sriranga, Phillips, Joanna, Chang, Susan, Li, Yan, Lupo, Janine, Oldham, Michael, Yue, Feng, Costello, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255440/
http://dx.doi.org/10.1093/noajnl/vdab070.005
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author Mathur, Radhika
Wang, Qixuan
Schupp, Patrick
Hilz, Stephanie
Hong, Chibo
Smirnov, Ivan
Lafontaine, Marisa
Nair, Devika
Iyyanaki, Sriranga
Phillips, Joanna
Chang, Susan
Li, Yan
Lupo, Janine
Oldham, Michael
Yue, Feng
Costello, Joseph
author_facet Mathur, Radhika
Wang, Qixuan
Schupp, Patrick
Hilz, Stephanie
Hong, Chibo
Smirnov, Ivan
Lafontaine, Marisa
Nair, Devika
Iyyanaki, Sriranga
Phillips, Joanna
Chang, Susan
Li, Yan
Lupo, Janine
Oldham, Michael
Yue, Feng
Costello, Joseph
author_sort Mathur, Radhika
collection PubMed
description Treatment failure in glioblastoma is often attributed to intratumoral heterogeneity (ITH), which fosters tumor evolution and selection of therapy-resistant clones. While genomic alterations are known contributors to ITH, emerging studies highlight functional roles for epigenomic ITH which integrates differentiation status, stochastic events, and microenvironmental inputs. Here, we have established a novel platform for integrative characterization of genomic and epigenomic ITH of glioblastoma in three-dimensional (3-D) space. In collaboration with neurosurgeons and biomedical imaging experts, we utilize 3-D surgical neuro-navigation to safely acquire ~10 tumor samples per patient representing maximal anatomical diversity. We conduct whole-exome sequencing, RNA sequencing, and assay for transposase-accessible chromatin using sequencing (ATAC-Seq) on each sample. The spatial location of each sample is mapped by its 3-D coordinates, allowing 360-degree visualization of genomic and epigenomic ITH for each patient. We demonstrate this approach on 8 patients with primary IDH-WT glioblastoma (83 spatially mapped samples), providing unprecedented insight into their spatial organization at the genomic and epigenomic levels. We link genetically defined tumor subclones to patterns of open chromatin and gene regulation, revealing underlying transcription factor binding at active promoters and enhancers. We also identify ITH in whole-genome doubling and focal oncogene amplification events in multiple patients, which we then link with epigenomic ITH. Further, to study microenvironmental inputs and their contribution to epigenomic ITH, we conduct deconvolution of RNA sequencing and ATAC-Seq data by analyzing feature co-variation. We resolve the 3-D spatial organization of immune, neural, and other nontumor cell types present in glioblastoma, characterizing their functional states and interactions with tumor cells. This work provides the most comprehensive spatial characterization of genomic and epigenomic ITH to date in glioblastoma. As a resource for further investigation, we have developed an interactive data sharing platform – The 3D Glioma Atlas – that enables 360-degree visualization of both genomic and epigenomic ITH.
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spelling pubmed-82554402021-07-06 ECOA-5. Integrative 3D spatial characterization of genomic and epigenomic intratumoral heterogeneity in glioblastoma Mathur, Radhika Wang, Qixuan Schupp, Patrick Hilz, Stephanie Hong, Chibo Smirnov, Ivan Lafontaine, Marisa Nair, Devika Iyyanaki, Sriranga Phillips, Joanna Chang, Susan Li, Yan Lupo, Janine Oldham, Michael Yue, Feng Costello, Joseph Neurooncol Adv Supplement Abstracts Treatment failure in glioblastoma is often attributed to intratumoral heterogeneity (ITH), which fosters tumor evolution and selection of therapy-resistant clones. While genomic alterations are known contributors to ITH, emerging studies highlight functional roles for epigenomic ITH which integrates differentiation status, stochastic events, and microenvironmental inputs. Here, we have established a novel platform for integrative characterization of genomic and epigenomic ITH of glioblastoma in three-dimensional (3-D) space. In collaboration with neurosurgeons and biomedical imaging experts, we utilize 3-D surgical neuro-navigation to safely acquire ~10 tumor samples per patient representing maximal anatomical diversity. We conduct whole-exome sequencing, RNA sequencing, and assay for transposase-accessible chromatin using sequencing (ATAC-Seq) on each sample. The spatial location of each sample is mapped by its 3-D coordinates, allowing 360-degree visualization of genomic and epigenomic ITH for each patient. We demonstrate this approach on 8 patients with primary IDH-WT glioblastoma (83 spatially mapped samples), providing unprecedented insight into their spatial organization at the genomic and epigenomic levels. We link genetically defined tumor subclones to patterns of open chromatin and gene regulation, revealing underlying transcription factor binding at active promoters and enhancers. We also identify ITH in whole-genome doubling and focal oncogene amplification events in multiple patients, which we then link with epigenomic ITH. Further, to study microenvironmental inputs and their contribution to epigenomic ITH, we conduct deconvolution of RNA sequencing and ATAC-Seq data by analyzing feature co-variation. We resolve the 3-D spatial organization of immune, neural, and other nontumor cell types present in glioblastoma, characterizing their functional states and interactions with tumor cells. This work provides the most comprehensive spatial characterization of genomic and epigenomic ITH to date in glioblastoma. As a resource for further investigation, we have developed an interactive data sharing platform – The 3D Glioma Atlas – that enables 360-degree visualization of both genomic and epigenomic ITH. Oxford University Press 2021-07-05 /pmc/articles/PMC8255440/ http://dx.doi.org/10.1093/noajnl/vdab070.005 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
Mathur, Radhika
Wang, Qixuan
Schupp, Patrick
Hilz, Stephanie
Hong, Chibo
Smirnov, Ivan
Lafontaine, Marisa
Nair, Devika
Iyyanaki, Sriranga
Phillips, Joanna
Chang, Susan
Li, Yan
Lupo, Janine
Oldham, Michael
Yue, Feng
Costello, Joseph
ECOA-5. Integrative 3D spatial characterization of genomic and epigenomic intratumoral heterogeneity in glioblastoma
title ECOA-5. Integrative 3D spatial characterization of genomic and epigenomic intratumoral heterogeneity in glioblastoma
title_full ECOA-5. Integrative 3D spatial characterization of genomic and epigenomic intratumoral heterogeneity in glioblastoma
title_fullStr ECOA-5. Integrative 3D spatial characterization of genomic and epigenomic intratumoral heterogeneity in glioblastoma
title_full_unstemmed ECOA-5. Integrative 3D spatial characterization of genomic and epigenomic intratumoral heterogeneity in glioblastoma
title_short ECOA-5. Integrative 3D spatial characterization of genomic and epigenomic intratumoral heterogeneity in glioblastoma
title_sort ecoa-5. integrative 3d spatial characterization of genomic and epigenomic intratumoral heterogeneity in glioblastoma
topic Supplement Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255440/
http://dx.doi.org/10.1093/noajnl/vdab070.005
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