Spatial analysis of the glioblastoma proteome reveals specific molecular signatures and markers of survival. - Université de Lille Accéder directement au contenu
Article Dans Une Revue Nature Communications Année : 2022

Spatial analysis of the glioblastoma proteome reveals specific molecular signatures and markers of survival.

Résumé

Molecular heterogeneity is a key feature of glioblastoma that impedes patient stratification and leads to large discrepancies in mean patient survival. Here, we analyze a cohort of 96 glioblastoma patients with survival ranging from a few months to over 4 years. 46 tumors are analyzed by mass spectrometry-based spatially-resolved proteomics guided by mass spectrometry imaging. Integration of protein expression and clinical information highlights three molecular groups associated with immune, neurogenesis, and tumorigenesis signatures with high intra-tumoral heterogeneity. Furthermore, a set of proteins originating from reference and alternative ORFs is found to be statistically significant based on patient survival times. Among these proteins, a 5-protein signature is associated with survival. The expression of these 5 proteins is validated by immunofluorescence on an additional cohort of 50 patients. Overall, our work characterizes distinct molecular regions within glioblastoma tissues based on protein expression, which may help guide glioblastoma prognosis and improve current glioblastoma classification.
Fichier principal
Vignette du fichier
s41467-022-34208-6.pdf (7.86 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04212126 , version 1 (20-09-2023)

Licence

Paternité

Identifiants

Citer

Marie Duhamel, L. Drelich, Maxence Wisztorski, Soulaimane Aboulouard, Jean-Pascal Gimeno, et al.. Spatial analysis of the glioblastoma proteome reveals specific molecular signatures and markers of survival.. Nature Communications, 2022, Nature Communications, 13, pp.6665. ⟨10.1038/s41467-022-34208-6⟩. ⟨hal-04212126⟩

Collections

UNIV-LILLE
4 Consultations
3 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More