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Early clonal extinction in glioblastoma progression revealed by genetic barcoding.
Ceresa, Davide; Alessandrini, Francesco; Lucchini, Sara; Marubbi, Daniela; Piaggio, Francesca; Mena Vera, Jorge Miguel; Ceccherini, Isabella; Reverberi, Daniele; Appolloni, Irene; Malatesta, Paolo.
Afiliação
  • Ceresa D; IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
  • Alessandrini F; IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy.
  • Lucchini S; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy.
  • Marubbi D; IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy.
  • Piaggio F; IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
  • Mena Vera JM; IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy.
  • Ceccherini I; Laboratory of Genetics and Genomics of Rare Diseases, IRCCS Istituto Giannina Gaslini, 16147 Genova, Italy.
  • Reverberi D; IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy.
  • Appolloni I; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy.
  • Malatesta P; IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy; Department of Experimental Medicine (DIMES), University of Genova, 16132 Genova, Italy. Electronic address: paolo.malatesta@unige.it.
Cancer Cell ; 41(8): 1466-1479.e9, 2023 08 14.
Article em En | MEDLINE | ID: mdl-37541243
Glioblastoma progression in its early stages remains poorly understood. Here, we transfer PDGFB and genetic barcodes in mouse brain to initiate gliomagenesis and enable direct tracing of glioblastoma evolution from its earliest possible stage. Unexpectedly, we observe a high incidence of clonal extinction events and progressive divergence in clonal sizes, even after the acquisition of malignant phenotype. Computational modeling suggests these dynamics result from clonal-based cell-cell competition. Through bulk and single-cell transcriptome analyses, coupled with lineage tracing, we reveal that Myc transcriptional targets have the strongest correlation with clonal size imbalances. Moreover, we show that the downregulation of Myc expression is sufficient to drive competitive dynamics in intracranially transplanted gliomas. Our findings provide insights into glioblastoma evolution that are inaccessible using conventional retrospective approaches, highlighting the potential of combining clonal tracing and transcriptomic analyses in this field.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glioblastoma / Glioma Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Cancer Cell Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Glioblastoma / Glioma Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Animals Idioma: En Revista: Cancer Cell Assunto da revista: NEOPLASIAS Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália País de publicação: Estados Unidos