Injectable local drug delivery systems for glioblastoma: a systematic review and meta -analysis of progress to date - GlioME: Gliomagenesis and MicroEnvironment
Article Dans Une Revue Biomaterials Science Année : 2023

Injectable local drug delivery systems for glioblastoma: a systematic review and meta -analysis of progress to date

Résumé

Glioblastoma (GBM) is an aggressive malignant cancer associated with bleak prognosis and high mortality. The current standard of care for GBM is maximum surgical resection plus radiotherapy and temozolomide (TMZ) chemotherapy. The blood brain barrier (BBB) remains the main obstacle for chemotherapy and severely limits the choice of therapeutic agents. Local treatment allows drugs to circumvent the BBB and reduces systemic side effects. Despite much research effort, to date, no drug delivery system (DDS) designed to be directly injected into brain tumors has been clinically approved, and a systematic overview of the progress in this field, or lack thereof, is missing. In this review, a systematic search of pre-clinical literature was conducted which resulted in 36 original articles on injectable DDS for local treatment of GBM which met the inclusion criteria. A wide range of injectable DDS have been developed and tested pre-clinically which include nanoparticles, liposomes, microspheres, hydrogels and others. meta-Analyses of the included studies showed that, overall, local administration of injectable DDS was beneficial to increase the animal's survival time. Finally, this review summarized the therapeutic effect after local treatment and discussed the shortcomings of the experimental setting in in vivo studies.
Fichier principal
Vignette du fichier
d2bm01534j.pdf; (1.62 Mo) Télécharger le fichier
Origine Publication financée par une institution

Dates et versions

hal-04207031 , version 1 (06-08-2024)

Identifiants

Citer

Yu Wang, C Bastiancich, Ben Newland. Injectable local drug delivery systems for glioblastoma: a systematic review and meta -analysis of progress to date. Biomaterials Science, 2023, 11 (5), pp.1553-1566. ⟨10.1039/d2bm01534j⟩. ⟨hal-04207031⟩
39 Consultations
0 Téléchargements

Altmetric

Partager

More