Abstract

Glioblastoma (GBM) is the most common primary malignant brain tumor in adults, yet it remains refractory to systemic therapy. Elimination of senescent cells has emerged as a promising new treatment approach against cancer. Here, we investigated the contribution of senescent cells to GBM progression. Senescent cells are identified in patient and mouse GBMs. Partial removal of p16Ink4a-expressing malignant senescent cells, which make up less than 7 % of the tumor, modifies the tumor ecosystem and improves the survival of GBM-bearing female mice. By combining single cell and bulk RNA sequencing, immunohistochemistry and genetic knockdowns, we identify the NRF2 transcription factor as a determinant of the senescent phenotype. Remarkably, our mouse senescent transcriptional signature and underlying mechanisms of senescence are conserved in patient GBMs, in whom higher senescence scores correlate with shorter survival times. These findings suggest that senolytic drug therapy may be a beneficial adjuvant therapy for patients with GBM.

Senescence can have beneficial and detrimental impact on cancer progression depending on the cellular context. Here the authors show that NRF2 regulates the senescence phenotype in malignant cells which consequently contribute to glioblastoma progression.

Details

Title
Cellular senescence in malignant cells promotes tumor progression in mouse and patient Glioblastoma
Author
Salam, Rana 1   VIAFID ORCID Logo  ; Saliou, Alexa 1 ; Bielle, Franck 2   VIAFID ORCID Logo  ; Bertrand, Mathilde 3 ; Antoniewski, Christophe 4 ; Carpentier, Catherine 1 ; Alentorn, Agusti 5   VIAFID ORCID Logo  ; Capelle, Laurent 6 ; Sanson, Marc 7 ; Huillard, Emmanuelle 1 ; Bellenger, Léa 4 ; Guégan, Justine 3   VIAFID ORCID Logo  ; Le Roux, Isabelle 1   VIAFID ORCID Logo 

 Genetics and Development of Brain Tumors Team, Paris Brain Institute (ICM), Hôpital Pitié-Salpêtrière, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France (GRID:grid.411439.a) (ISNI:0000 0001 2150 9058) 
 Genetics and Development of Brain Tumors Team, Paris Brain Institute (ICM), Hôpital Pitié-Salpêtrière, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France (GRID:grid.411439.a) (ISNI:0000 0001 2150 9058); Département de Neuropathologie, AP-HP, Hôpital de la Pitié-Salpêtrière—Charles Foix, Paris, France (GRID:grid.50550.35) (ISNI:0000 0001 2175 4109); Onconeurotek Tumor Bank, Paris Brain Institute (ICM), Hôpital Pitié-Salpêtrière, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France (GRID:grid.411439.a) (ISNI:0000 0001 2150 9058) 
 Data Analysis Core Platform, Paris Brain Institute (ICM), Hôpital Pitié-Salpêtrière, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France (GRID:grid.411439.a) (ISNI:0000 0001 2150 9058) 
 Institut Français de Bioinformatique (IFB), Sorbonne Université, CNRS FR3631, Inserm US037, Institut de Biologie Paris Seine (IBPS), ARTbio Bioinformatics Analysis Facility, Paris, Paris, France (GRID:grid.510302.5) 
 Genetics and Development of Brain Tumors Team, Paris Brain Institute (ICM), Hôpital Pitié-Salpêtrière, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France (GRID:grid.411439.a) (ISNI:0000 0001 2150 9058); Service de Neurologie 2-Mazarin, AP-HP, Hôpital de la Pitié-Salpêtrière—Charles Foix, Paris, France (GRID:grid.50550.35) (ISNI:0000 0001 2175 4109) 
 Service de Neurochirurgie, AP-HP, Hôpital de la Pitié-Salpêtrière—Charles Foix, Paris, France (GRID:grid.50550.35) (ISNI:0000 0001 2175 4109) 
 Genetics and Development of Brain Tumors Team, Paris Brain Institute (ICM), Hôpital Pitié-Salpêtrière, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France (GRID:grid.411439.a) (ISNI:0000 0001 2150 9058); Onconeurotek Tumor Bank, Paris Brain Institute (ICM), Hôpital Pitié-Salpêtrière, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Paris, France (GRID:grid.411439.a) (ISNI:0000 0001 2150 9058); Service de Neurologie 2-Mazarin, AP-HP, Hôpital de la Pitié-Salpêtrière—Charles Foix, Paris, France (GRID:grid.50550.35) (ISNI:0000 0001 2175 4109) 
Pages
441
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2770187644
Copyright
© The Author(s) 2023. 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.