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Genome-wide profiling of patient-derived glioblastoma stem-like cells reveals recurrent genetic and transcriptomic signatures associated with brain tumors

PURPOSE: Patient-derived cancer cell lines can be very useful to investigate genetic as well as epigenetic mechanisms of transformation and to test new drugs. In this multi-centric study, we performed genomic and transcriptomic characterization of a large set of patient-derived glioblastoma (GBM) st...

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Autores principales: Lazzarini, Elisabetta, Silvestris, Domenico Alessandro, Benvenuto, Giuseppe, Osti, Daniela, Fattore, Luigi, Paterra, Rosina, Finocchiaro, Gaetano, Malatesta, Paolo, Daga, Antonio, Gallotti, Alberto L., Galli, Rossella, Pelicci, Giuliana, Tesei, Anna, Bedeschi, Martina, Pallini, Roberto, Pasqualini, Lorenza, Romualdi, Chiara, Gallo, Angela, Ricci-Vitiani, Lucia, Indraccolo, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232615/
https://www.ncbi.nlm.nih.gov/pubmed/37140883
http://dx.doi.org/10.1007/s11060-023-04287-6
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author Lazzarini, Elisabetta
Silvestris, Domenico Alessandro
Benvenuto, Giuseppe
Osti, Daniela
Fattore, Luigi
Paterra, Rosina
Finocchiaro, Gaetano
Malatesta, Paolo
Daga, Antonio
Gallotti, Alberto L.
Galli, Rossella
Pelicci, Giuliana
Tesei, Anna
Bedeschi, Martina
Pallini, Roberto
Pasqualini, Lorenza
Romualdi, Chiara
Gallo, Angela
Ricci-Vitiani, Lucia
Indraccolo, Stefano
author_facet Lazzarini, Elisabetta
Silvestris, Domenico Alessandro
Benvenuto, Giuseppe
Osti, Daniela
Fattore, Luigi
Paterra, Rosina
Finocchiaro, Gaetano
Malatesta, Paolo
Daga, Antonio
Gallotti, Alberto L.
Galli, Rossella
Pelicci, Giuliana
Tesei, Anna
Bedeschi, Martina
Pallini, Roberto
Pasqualini, Lorenza
Romualdi, Chiara
Gallo, Angela
Ricci-Vitiani, Lucia
Indraccolo, Stefano
author_sort Lazzarini, Elisabetta
collection PubMed
description PURPOSE: Patient-derived cancer cell lines can be very useful to investigate genetic as well as epigenetic mechanisms of transformation and to test new drugs. In this multi-centric study, we performed genomic and transcriptomic characterization of a large set of patient-derived glioblastoma (GBM) stem-like cells (GSCs). METHODS: 94 (80 I surgery/14 II surgery) and 53 (42 I surgery/11 II surgery) GSCs lines underwent whole exome and trascriptome analysis, respectively. RESULTS: Exome sequencing revealed TP53 as the main mutated gene (41/94 samples, 44%), followed by PTEN (33/94, 35%), RB1 (16/94, 17%) and NF1 (15/94, 16%), among other genes associated to brain tumors. One GSC sample bearing a BRAF p.V600E mutation showed sensitivity in vitro to a BRAF inhibitor. Gene Ontology and Reactome analysis uncovered several biological processes mostly associated to gliogenesis and glial cell differentiation, S − adenosylmethionine metabolic process, mismatch repair and methylation. Comparison of I and II surgery samples disclosed a similar distribution of mutated genes, with an overrepresentation of mutations in mismatch repair, cell cycle, p53 and methylation pathways in I surgery samples, and of mutations in receptor tyrosine kinase and MAPK signaling pathways in II surgery samples. Unsupervised hierarchical clustering of RNA-seq data produced 3 clusters characterized by distinctive sets of up-regulated genes and signaling pathways. CONCLUSION: The availability of a large set of fully molecularly characterized GCSs represents a valuable public resource to support the advancement of precision oncology for the treatment of GBM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11060-023-04287-6.
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spelling pubmed-102326152023-06-02 Genome-wide profiling of patient-derived glioblastoma stem-like cells reveals recurrent genetic and transcriptomic signatures associated with brain tumors Lazzarini, Elisabetta Silvestris, Domenico Alessandro Benvenuto, Giuseppe Osti, Daniela Fattore, Luigi Paterra, Rosina Finocchiaro, Gaetano Malatesta, Paolo Daga, Antonio Gallotti, Alberto L. Galli, Rossella Pelicci, Giuliana Tesei, Anna Bedeschi, Martina Pallini, Roberto Pasqualini, Lorenza Romualdi, Chiara Gallo, Angela Ricci-Vitiani, Lucia Indraccolo, Stefano J Neurooncol Research PURPOSE: Patient-derived cancer cell lines can be very useful to investigate genetic as well as epigenetic mechanisms of transformation and to test new drugs. In this multi-centric study, we performed genomic and transcriptomic characterization of a large set of patient-derived glioblastoma (GBM) stem-like cells (GSCs). METHODS: 94 (80 I surgery/14 II surgery) and 53 (42 I surgery/11 II surgery) GSCs lines underwent whole exome and trascriptome analysis, respectively. RESULTS: Exome sequencing revealed TP53 as the main mutated gene (41/94 samples, 44%), followed by PTEN (33/94, 35%), RB1 (16/94, 17%) and NF1 (15/94, 16%), among other genes associated to brain tumors. One GSC sample bearing a BRAF p.V600E mutation showed sensitivity in vitro to a BRAF inhibitor. Gene Ontology and Reactome analysis uncovered several biological processes mostly associated to gliogenesis and glial cell differentiation, S − adenosylmethionine metabolic process, mismatch repair and methylation. Comparison of I and II surgery samples disclosed a similar distribution of mutated genes, with an overrepresentation of mutations in mismatch repair, cell cycle, p53 and methylation pathways in I surgery samples, and of mutations in receptor tyrosine kinase and MAPK signaling pathways in II surgery samples. Unsupervised hierarchical clustering of RNA-seq data produced 3 clusters characterized by distinctive sets of up-regulated genes and signaling pathways. CONCLUSION: The availability of a large set of fully molecularly characterized GCSs represents a valuable public resource to support the advancement of precision oncology for the treatment of GBM. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11060-023-04287-6. Springer US 2023-05-04 2023 /pmc/articles/PMC10232615/ /pubmed/37140883 http://dx.doi.org/10.1007/s11060-023-04287-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Lazzarini, Elisabetta
Silvestris, Domenico Alessandro
Benvenuto, Giuseppe
Osti, Daniela
Fattore, Luigi
Paterra, Rosina
Finocchiaro, Gaetano
Malatesta, Paolo
Daga, Antonio
Gallotti, Alberto L.
Galli, Rossella
Pelicci, Giuliana
Tesei, Anna
Bedeschi, Martina
Pallini, Roberto
Pasqualini, Lorenza
Romualdi, Chiara
Gallo, Angela
Ricci-Vitiani, Lucia
Indraccolo, Stefano
Genome-wide profiling of patient-derived glioblastoma stem-like cells reveals recurrent genetic and transcriptomic signatures associated with brain tumors
title Genome-wide profiling of patient-derived glioblastoma stem-like cells reveals recurrent genetic and transcriptomic signatures associated with brain tumors
title_full Genome-wide profiling of patient-derived glioblastoma stem-like cells reveals recurrent genetic and transcriptomic signatures associated with brain tumors
title_fullStr Genome-wide profiling of patient-derived glioblastoma stem-like cells reveals recurrent genetic and transcriptomic signatures associated with brain tumors
title_full_unstemmed Genome-wide profiling of patient-derived glioblastoma stem-like cells reveals recurrent genetic and transcriptomic signatures associated with brain tumors
title_short Genome-wide profiling of patient-derived glioblastoma stem-like cells reveals recurrent genetic and transcriptomic signatures associated with brain tumors
title_sort genome-wide profiling of patient-derived glioblastoma stem-like cells reveals recurrent genetic and transcriptomic signatures associated with brain tumors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232615/
https://www.ncbi.nlm.nih.gov/pubmed/37140883
http://dx.doi.org/10.1007/s11060-023-04287-6
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