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-nc (c) Alemany, Montse et al., 2025
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/223515

Reaching the point-of-no-return: the cornerstone of glioblastoma treatment?

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

The activation of cellular death programs does not necessarily predetermine an inevitable outcome. Identifying the precise moment when a cell irreversibly transitions from life to death presents a significant challenge in its assessment and measurement. In this review, we explore the critical alterations in cellular structures that have been proposed as the point-of-no-return. Using glioblastoma as a model-one of the most aggressive and lethal tumor types with a remarkable ability to evade cell death-we highlight the challenge of reaching the point-of-no-return. Glioblastoma cells often exhibit impaired function of the apoptotic endonuclease, DFF40/CAD/CPAN, leading to incomplete apoptosis and genomic instability. The sublethal activation of DFF40/CAD/CPAN not only allows tumor cells to survive but can also drive more aggressive phenotypes and enhance therapeutic resistance. We underscore the need to reassess glioblastoma treatment strategies from broad cytotoxic approaches to more targeted therapies that exploit specific vulnerabilities within regulated cell death (RCD) pathways.

Citation

Citation

ALEMANY, Montse, BRUNA, Jordi and YUSTE, Victor J. Reaching the point-of-no-return: the cornerstone of glioblastoma treatment?. Neuro-Oncology Advances. 2025. Vol. 7, num. 1. ISSN 2632-2498. [consulted: 10 of August of 2026]. Available at: https://hdl.handle.net/2445/223515

Export metadata

JSON - METS

Share record