Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Document type

Article

Version

Published version

Publication date

Publication license

cc by (c) Garcia Moure et al., 2019
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/169750

The oncolytic adenovirus VCN-01 promotes anti-tumor effect in primitive neuroectodermal tumor models

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

Last advances in the treatment of pediatric tumors has led to an increase of survival rates of children affected by primitive neuroectodermal tumors, however, still a significant amount of the patients do not overcome the disease. In addition, the survivors might suffer from severe side effects caused by the current standard treatments. Oncolytic virotherapy has emerged in the last years as a promising alternative for the treatment of solid tumors. In this work, we study the anti-tumor effect mediated by the oncolytic adenovirus VCN-01 in CNS-PNET models. VCN-01 is able to infect and replicate in PNET cell cultures, leading to a cytotoxicity and immunogenic cell death. In vivo, VCN-01 increased significantly the median survival of mice and led to long-term survivors in two orthotopic models of PNETs. In summary, these results underscore the therapeutic effect ofVCN-01 for rare pediatric cancers such as PNETs, and warrants further exploration on the use of this virus to treat them.

Citation

Citation

GARCIA MOURE, Marc, et al. The oncolytic adenovirus VCN-01 promotes anti-tumor effect in primitive neuroectodermal tumor models. Scientific Reports. 2019. Vol. 9, num. 14368. [consulted: 14 of August of 2026]. Available at: https://hdl.handle.net/2445/169750

Export metadata

JSON - METS

Share record