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Article: Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures
Title | Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures |
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Authors | Hu, Leland SD’Angelo, FulvioWeiskittel, Taylor MCaruso, Francesca PFortin, Ensign Shannon PBlomquist, Mylan RFlick, Matthew JWang, LujiaSereduk, Christopher PMeng-Lin, Kevinde Leon, GustavoNespodzany, AshleyUrcuyo, Javier CGonzales, Ashlyn CCurtin, LeeLewis, Erika MSingleton, Kyle WDondlinger, TimothyAnil, AliyaSemmineh, Natenael BNoviello, TeresaPatel, Reyna AWang, PanwenWang, JunwenEschbacher, Jennifer MHawkins-Daarud, AndreaJackson, Pamela RGrunfeld, Itamar SElrod, ChristianMazza, Gina LMcGee, Sam CPaulson, LisaClark-Swanson, KamalaLassiter-Morris, YvetteSmith, Kris ANakaji, PeterBendok, Bernard RZimmerman, Richard SKrishna, ChandanPatra, Devi PPatel, Naresh PLyons, MarkNeal, MatthewDonev, KlimentMrugala, Maciej MPorter, Alyx BBeeman, Scott CJensen, Todd RSchmainda, Kathleen MZhou, YuxiangBaxter, Leslie CPlaisier, Christopher LLi, JingLi, HuLasorella, AnnaQuarles, C ChadSwanson, Kristin RCeccarelli, MicheleIavarone, AntonioTran, Nhan L |
Issue Date | 28-Sep-2023 |
Publisher | Nature Research |
Citation | Nature Communications, 2023, v. 14, n. 1, p. 6066 How to Cite? |
Abstract | Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis of spatially matched molecular and multi-parametric magnetic resonance imaging (MRI) profiling across 313 multi-regional tumor biopsies, including 111 from the NE, across 68 HGG patients. Whole exome and RNA sequencing uncover unique genomic alterations to unresectable invasive NE tumor, including subclonal events, which inform genomic models predictive of geographic evolution. Infiltrative NE tumor is alternatively enriched with tumor cells exhibiting neuronal or glycolytic/plurimetabolic cellular states, two principal transcriptomic pathway-based glioma subtypes, which respectively demonstrate abundant private mutations or enrichment in immune cell signatures. These NE phenotypes are non-invasively identified through normalized K2 imaging signatures, which discern cell size heterogeneity on dynamic susceptibility contrast (DSC)-MRI. NE tumor populations predicted to display increased cellular proliferation by mean diffusivity (MD) MRI metrics are uniquely associated with EGFR amplification and CDKN2A homozygous deletion. The biophysical mapping of infiltrative HGG potentially enables the clinical recognition of tumor subpopulations with aggressive molecular signatures driving tumor progression, thereby informing precision medicine targeting. |
Persistent Identifier | http://hdl.handle.net/10722/337418 |
ISSN | 2023 Impact Factor: 14.7 2023 SCImago Journal Rankings: 4.887 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Hu, Leland S | - |
dc.contributor.author | D’Angelo, Fulvio | - |
dc.contributor.author | Weiskittel, Taylor M | - |
dc.contributor.author | Caruso, Francesca P | - |
dc.contributor.author | Fortin, Ensign Shannon P | - |
dc.contributor.author | Blomquist, Mylan R | - |
dc.contributor.author | Flick, Matthew J | - |
dc.contributor.author | Wang, Lujia | - |
dc.contributor.author | Sereduk, Christopher P | - |
dc.contributor.author | Meng-Lin, Kevin | - |
dc.contributor.author | de Leon, Gustavo | - |
dc.contributor.author | Nespodzany, Ashley | - |
dc.contributor.author | Urcuyo, Javier C | - |
dc.contributor.author | Gonzales, Ashlyn C | - |
dc.contributor.author | Curtin, Lee | - |
dc.contributor.author | Lewis, Erika M | - |
dc.contributor.author | Singleton, Kyle W | - |
dc.contributor.author | Dondlinger, Timothy | - |
dc.contributor.author | Anil, Aliya | - |
dc.contributor.author | Semmineh, Natenael B | - |
dc.contributor.author | Noviello, Teresa | - |
dc.contributor.author | Patel, Reyna A | - |
dc.contributor.author | Wang, Panwen | - |
dc.contributor.author | Wang, Junwen | - |
dc.contributor.author | Eschbacher, Jennifer M | - |
dc.contributor.author | Hawkins-Daarud, Andrea | - |
dc.contributor.author | Jackson, Pamela R | - |
dc.contributor.author | Grunfeld, Itamar S | - |
dc.contributor.author | Elrod, Christian | - |
dc.contributor.author | Mazza, Gina L | - |
dc.contributor.author | McGee, Sam C | - |
dc.contributor.author | Paulson, Lisa | - |
dc.contributor.author | Clark-Swanson, Kamala | - |
dc.contributor.author | Lassiter-Morris, Yvette | - |
dc.contributor.author | Smith, Kris A | - |
dc.contributor.author | Nakaji, Peter | - |
dc.contributor.author | Bendok, Bernard R | - |
dc.contributor.author | Zimmerman, Richard S | - |
dc.contributor.author | Krishna, Chandan | - |
dc.contributor.author | Patra, Devi P | - |
dc.contributor.author | Patel, Naresh P | - |
dc.contributor.author | Lyons, Mark | - |
dc.contributor.author | Neal, Matthew | - |
dc.contributor.author | Donev, Kliment | - |
dc.contributor.author | Mrugala, Maciej M | - |
dc.contributor.author | Porter, Alyx B | - |
dc.contributor.author | Beeman, Scott C | - |
dc.contributor.author | Jensen, Todd R | - |
dc.contributor.author | Schmainda, Kathleen M | - |
dc.contributor.author | Zhou, Yuxiang | - |
dc.contributor.author | Baxter, Leslie C | - |
dc.contributor.author | Plaisier, Christopher L | - |
dc.contributor.author | Li, Jing | - |
dc.contributor.author | Li, Hu | - |
dc.contributor.author | Lasorella, Anna | - |
dc.contributor.author | Quarles, C Chad | - |
dc.contributor.author | Swanson, Kristin R | - |
dc.contributor.author | Ceccarelli, Michele | - |
dc.contributor.author | Iavarone, Antonio | - |
dc.contributor.author | Tran, Nhan L | - |
dc.date.accessioned | 2024-03-11T10:20:43Z | - |
dc.date.available | 2024-03-11T10:20:43Z | - |
dc.date.issued | 2023-09-28 | - |
dc.identifier.citation | Nature Communications, 2023, v. 14, n. 1, p. 6066 | - |
dc.identifier.issn | 2041-1723 | - |
dc.identifier.uri | http://hdl.handle.net/10722/337418 | - |
dc.description.abstract | <p>Sampling restrictions have hindered the comprehensive study of invasive non-enhancing (NE) high-grade glioma (HGG) cell populations driving tumor progression. Here, we present an integrated multi-omic analysis of spatially matched molecular and multi-parametric magnetic resonance imaging (MRI) profiling across 313 multi-regional tumor biopsies, including 111 from the NE, across 68 HGG patients. Whole exome and RNA sequencing uncover unique genomic alterations to unresectable invasive NE tumor, including subclonal events, which inform genomic models predictive of geographic evolution. Infiltrative NE tumor is alternatively enriched with tumor cells exhibiting neuronal or glycolytic/plurimetabolic cellular states, two principal transcriptomic pathway-based glioma subtypes, which respectively demonstrate abundant private mutations or enrichment in immune cell signatures. These NE phenotypes are non-invasively identified through normalized K2 imaging signatures, which discern cell size heterogeneity on dynamic susceptibility contrast (DSC)-MRI. NE tumor populations predicted to display increased cellular proliferation by mean diffusivity (MD) MRI metrics are uniquely associated with EGFR amplification and CDKN2A homozygous deletion. The biophysical mapping of infiltrative HGG potentially enables the clinical recognition of tumor subpopulations with aggressive molecular signatures driving tumor progression, thereby informing precision medicine targeting.</p> | - |
dc.language | eng | - |
dc.publisher | Nature Research | - |
dc.relation.ispartof | Nature Communications | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures | - |
dc.type | Article | - |
dc.identifier.doi | 10.1038/s41467-023-41559-1 | - |
dc.identifier.scopus | eid_2-s2.0-85172828207 | - |
dc.identifier.volume | 14 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 6066 | - |
dc.identifier.eissn | 2041-1723 | - |
dc.identifier.isi | WOS:001080410400034 | - |
dc.identifier.issnl | 2041-1723 | - |