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

  • Elisabetta Lazzarini
  • , Domenico Alessandro Silvestris
  • , Giuseppe Benvenuto
  • , Daniela Osti
  • , Luigi Fattore
  • , Rosina Paterra
  • , Gaetano Finocchiaro
  • , Paolo Malatesta
  • , Antonio Daga
  • , Alberto L. Gallotti
  • , Rossella Galli
  • , Giuliana Pelicci
  • , Anna Tesei
  • , Martina Bedeschi
  • , Roberto Pallini
  • , Lorenza Pasqualini
  • , Chiara Romualdi
  • , Angela Gallo
  • , Lucia Ricci-Vitiani
  • , Stefano Indraccolo

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

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.

Lingua originaleInglese
pagine (da-a)47-59
Numero di pagine13
RivistaJournal of Neuro-Oncology
Volume163
Numero di pubblicazione1
DOI
Stato di pubblicazionePubblicato - mag 2023

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