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Specific V-ATPase expression sub-classifies IDHwt lower-grade gliomas and impacts glioma growth in vivo
BACKGROUND: Cancer cells use specific V-ATPase subunits to activate oncogenic pathways. Therefore, we investigated V-ATPase deregulation in aggressive gliomas and associated signaling. METHODS: V-ATPase genes expression and associated pathways were analyzed in different series of glioma available fr...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441867/ https://www.ncbi.nlm.nih.gov/pubmed/30737087 http://dx.doi.org/10.1016/j.ebiom.2019.01.052 |
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author | Terrasi, Andrea Bertolini, Irene Martelli, Cristina Gaudioso, Gabriella Di Cristofori, Andrea Storaci, Alessandra Maria Formica, Miriam Bosari, Silvano Caroli, Manuela Ottobrini, Luisa Vaccari, Thomas Vaira, Valentina |
author_facet | Terrasi, Andrea Bertolini, Irene Martelli, Cristina Gaudioso, Gabriella Di Cristofori, Andrea Storaci, Alessandra Maria Formica, Miriam Bosari, Silvano Caroli, Manuela Ottobrini, Luisa Vaccari, Thomas Vaira, Valentina |
author_sort | Terrasi, Andrea |
collection | PubMed |
description | BACKGROUND: Cancer cells use specific V-ATPase subunits to activate oncogenic pathways. Therefore, we investigated V-ATPase deregulation in aggressive gliomas and associated signaling. METHODS: V-ATPase genes expression and associated pathways were analyzed in different series of glioma available from public databases, as well as in patients' cohort. Activation of pathways was analyzed at gene and protein expression levels. A genetic model of glioma in Drosophila melanogaster and mice with GBM patients-derived orthotopic xenografts were used as in vivo models of disease. FINDINGS: GBM and recurrent gliomas display a specific V-ATPase signature. Such signature resolves the heterogeneous class of IDH-wild type lower-grade gliomas, identifying the patients with worse prognosis independently from clinical and molecular features (p = 0·03, by Cox proportional-hazards model). In vivo, V-ATPase subunits deregulation significantly impacts tumor growth and proliferation. At the molecular level, GBM-like V-ATPase expression correlates with upregulation of Homeobox genes. INTERPRETATION: Our data identify a V-ATPase signature that accompanies glioma aggressiveness and suggest new entry points for glioma stratification and follow-up. FUND: This work was supported by Fondazione Cariplo (2014–1148 to VV), Fondazione IRCCS Ca' Granda, and Fondazione INGM Grant in Molecular Medicine 2014 (to VV). |
format | Online Article Text |
id | pubmed-6441867 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-64418672019-04-11 Specific V-ATPase expression sub-classifies IDHwt lower-grade gliomas and impacts glioma growth in vivo Terrasi, Andrea Bertolini, Irene Martelli, Cristina Gaudioso, Gabriella Di Cristofori, Andrea Storaci, Alessandra Maria Formica, Miriam Bosari, Silvano Caroli, Manuela Ottobrini, Luisa Vaccari, Thomas Vaira, Valentina EBioMedicine Research paper BACKGROUND: Cancer cells use specific V-ATPase subunits to activate oncogenic pathways. Therefore, we investigated V-ATPase deregulation in aggressive gliomas and associated signaling. METHODS: V-ATPase genes expression and associated pathways were analyzed in different series of glioma available from public databases, as well as in patients' cohort. Activation of pathways was analyzed at gene and protein expression levels. A genetic model of glioma in Drosophila melanogaster and mice with GBM patients-derived orthotopic xenografts were used as in vivo models of disease. FINDINGS: GBM and recurrent gliomas display a specific V-ATPase signature. Such signature resolves the heterogeneous class of IDH-wild type lower-grade gliomas, identifying the patients with worse prognosis independently from clinical and molecular features (p = 0·03, by Cox proportional-hazards model). In vivo, V-ATPase subunits deregulation significantly impacts tumor growth and proliferation. At the molecular level, GBM-like V-ATPase expression correlates with upregulation of Homeobox genes. INTERPRETATION: Our data identify a V-ATPase signature that accompanies glioma aggressiveness and suggest new entry points for glioma stratification and follow-up. FUND: This work was supported by Fondazione Cariplo (2014–1148 to VV), Fondazione IRCCS Ca' Granda, and Fondazione INGM Grant in Molecular Medicine 2014 (to VV). Elsevier 2019-02-05 /pmc/articles/PMC6441867/ /pubmed/30737087 http://dx.doi.org/10.1016/j.ebiom.2019.01.052 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research paper Terrasi, Andrea Bertolini, Irene Martelli, Cristina Gaudioso, Gabriella Di Cristofori, Andrea Storaci, Alessandra Maria Formica, Miriam Bosari, Silvano Caroli, Manuela Ottobrini, Luisa Vaccari, Thomas Vaira, Valentina Specific V-ATPase expression sub-classifies IDHwt lower-grade gliomas and impacts glioma growth in vivo |
title | Specific V-ATPase expression sub-classifies IDHwt lower-grade gliomas and impacts glioma growth in vivo |
title_full | Specific V-ATPase expression sub-classifies IDHwt lower-grade gliomas and impacts glioma growth in vivo |
title_fullStr | Specific V-ATPase expression sub-classifies IDHwt lower-grade gliomas and impacts glioma growth in vivo |
title_full_unstemmed | Specific V-ATPase expression sub-classifies IDHwt lower-grade gliomas and impacts glioma growth in vivo |
title_short | Specific V-ATPase expression sub-classifies IDHwt lower-grade gliomas and impacts glioma growth in vivo |
title_sort | specific v-atpase expression sub-classifies idhwt lower-grade gliomas and impacts glioma growth in vivo |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6441867/ https://www.ncbi.nlm.nih.gov/pubmed/30737087 http://dx.doi.org/10.1016/j.ebiom.2019.01.052 |
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