Abstract

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.

Characterisation of molecular heterogeneity in glioblastoma would improve patient stratification. Here, the authors integrate spatial proteomics and clinical data from glioblastoma patients and identify 3 molecular groups and a 5-protein signature that was associated with survival.

Details

Title
Spatial analysis of the glioblastoma proteome reveals specific molecular signatures and markers of survival
Author
Duhamel, Marie 1   VIAFID ORCID Logo  ; Drelich, Lauranne 1 ; Wisztorski, Maxence 1   VIAFID ORCID Logo  ; Aboulouard, Soulaimane 1   VIAFID ORCID Logo  ; Gimeno, Jean-Pascal 1 ; Ogrinc, Nina 1   VIAFID ORCID Logo  ; Devos, Patrick 2   VIAFID ORCID Logo  ; Cardon, Tristan 1   VIAFID ORCID Logo  ; Weller, Michael 3   VIAFID ORCID Logo  ; Escande, Fabienne 4   VIAFID ORCID Logo  ; Zairi, Fahed 5 ; Maurage, Claude-Alain 4 ; Le Rhun, Émilie 6   VIAFID ORCID Logo  ; Fournier, Isabelle 7   VIAFID ORCID Logo  ; Salzet, Michel 7   VIAFID ORCID Logo 

 Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Lille, France (GRID:grid.503422.2) (ISNI:0000 0001 2242 6780) 
 ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Univ. Lille, CHU Lille, Lille, France (GRID:grid.503422.2) (ISNI:0000 0001 2242 6780) 
 University Hospital and University of Zurich, Department of Neurology & Clinical Neuroscience Center, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650) 
 CHU Lille, CHU Lille, Service de biochimie et biologie moléculaire, Lille, France (GRID:grid.410463.4) (ISNI:0000 0004 0471 8845) 
 CHU Lille, Service de neurochirurgie, Lille, France (GRID:grid.410463.4) (ISNI:0000 0004 0471 8845) 
 Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Lille, France (GRID:grid.503422.2) (ISNI:0000 0001 2242 6780); University Hospital and University of Zurich, Department of Neurology & Clinical Neuroscience Center, Zurich, Switzerland (GRID:grid.7400.3) (ISNI:0000 0004 1937 0650); CHU Lille, CHU Lille, Service de biochimie et biologie moléculaire, Lille, France (GRID:grid.410463.4) (ISNI:0000 0004 0471 8845) 
 Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Lille, France (GRID:grid.503422.2) (ISNI:0000 0001 2242 6780); Institut Universitaire de France (IUF), Paris, France (GRID:grid.440891.0) (ISNI:0000 0001 1931 4817) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2731943290
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.