Functional sphere profiling reveals the complexity of neuroblastoma tumor-initiating cell model.

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Ressource 1Télécharger: Neoplasia 2011.pdf (3826.36 [Ko])
Etat: Public
Version: Final published version
Licence: Tous droits réservés
ID Serval
serval:BIB_3A2FE3C63C67
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Functional sphere profiling reveals the complexity of neuroblastoma tumor-initiating cell model.
Périodique
Neoplasia (New York, N.Y.)
Auteur⸱e⸱s
Coulon A, Flahaut M, Mühlethaler-Mottet A, Meier R, Liberman J, Balmas-Bourloud K, Nardou K, Yan P, Tercier S, Joseph JM, Sommer L, Gross N
Statut éditorial
Publié
Date de publication
10/2011
Peer-reviewed
Oui
Pages
991-1004
Langue
anglais
Résumé
Neuroblastoma (NB) is a neural crest-derived childhood tumor characterized by a remarkable phenotypic diversity, ranging from spontaneous regression to fatal metastatic disease. Although the cancer stem cell (CSC) model provides a trail to characterize the cells responsible for tumor onset, the NB tumor-initiating cell (TIC) has not been identified. In this study, the relevance of the CSC model in NB was investigated by taking advantage of typical functional stem cell characteristics. A predictive association was established between self-renewal, as assessed by serial sphere formation, and clinical aggressiveness in primary tumors. Moreover, cell subsets gradually selected during serial sphere culture harbored increased in vivo tumorigenicity, only highlighted in an orthotopic microenvironment. A microarray time course analysis of serial spheres passages from metastatic cells allowed us to specifically “profile” the NB stem cell-like phenotype and to identify CD133, ABC transporter, and WNT and NOTCH genes as spheres markers. On the basis of combined sphere markers expression, at least two distinct tumorigenic cell subpopulations were identified, also shown to preexist in primary NB. However, sphere markers-mediated cell sorting of parental tumor failed to recapitulate the TIC phenotype in the orthotopic model, highlighting the complexity of the CSC model. Our data support the NB stem-like cells as a dynamic and heterogeneous cell population strongly dependent on microenvironmental signals and add novel candidate genes as potential therapeutic targets in the control of high-risk NB.
Pubmed
Open Access
Oui
Création de la notice
23/03/2020 12:44
Dernière modification de la notice
21/11/2022 9:12
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