Cellular senescence in malignant cells promotes tumor progression in mouse and patient Glioblastoma
Open accessPublished version of a preprint
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 p16 Ink4a -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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
The 2021 WHO classification of tumors of the central nervous system: a summary
Louis, D. N., Perry, A., Wesseling, P., Brat, D. J., Cree, I. A., Figarella-Branger, D., Hawkins, C., Ng, H. K., Pfister, S. M., Reifenberger, G., et al. (2021) · Neuro-Oncology · doi:10.1093/neuonc/noab106 · Cited by 12,273 · see citing works
Verhaak, R. G. W., Hoadley, K. A., Purdom, E., Wang, V., Qi, Y., Wilkerson, M. D., Miller, C. R., Ding, L., Golub, T., Mesirov, J. P., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2009.12.020 · Cited by 7,575 · see citing works
Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders
Baker, D. J., Wijshake, T., Tchkonia, T., LeBrasseur, N. K., Childs, B. G., van de Sluis, B., Kirkland, J. L., & van Deursen, J. M. (2011) · Nature · doi:10.1038/nature10600 · Cited by 3,670 · see citing works
Cellular Senescence: Defining a Path Forward
Gorgoulis, V., Adams, P. D., Alimonti, A., Bennett, D. C., Bischof, O., Bishop, C., Campisi, J., Collado, M., Evangelou, K., Ferbeyre, G., et al. (2019) · Cell · doi:10.1016/j.cell.2019.10.005 · Cited by 3,225 · see citing works
The Achilles' heel of senescent cells: from transcriptome to senolytic drugs
Zhu, Y., Tchkonia, T., Pirtskhalava, T., Gower, A. C., Ding, H., Giorgadze, N., Palmer, A. K., Ikeno, Y., Hubbard, G. B., Lenburg, M., et al. (2015) · Aging Cell · doi:10.1111/acel.12344 · Cited by 2,562 · see citing works
Senescence and tumour clearance is triggered by p53 restoration in murine liver carcinomas
Xue, W., Zender, L., Miething, C., Dickins, R. A., Hernando, E., Krizhanovsky, V., Cordon-Cardo, C., & Lowe, S. W. (2007) · Nature · doi:10.1038/nature05529 · Cited by 2,473 · see citing works
A complex secretory program orchestrated by the inflammasome controls paracrine senescence
Acosta, J. C., Banito, A., Wuestefeld, T., Georgilis, A., Janich, P., Morton, J. P., Athineos, D., Kang, T.-W., Lasitschka, F., Andrulis, M., et al. (2013) · Nature Cell Biology · doi:10.1038/ncb2784 · Cited by 2,278 · see citing works
Obesity-induced gut microbial metabolite promotes liver cancer through senescence secretome
Yoshimoto, S., Loo, T. M., Atarashi, K., Kanda, H., Sato, S., Oyadomari, S., Iwakura, Y., Oshima, K., Morita, H., Hattori, M., et al. (2013) · Nature · doi:10.1038/nature12347 · Cited by 2,219 · see citing works
An Essential Role for Senescent Cells in Optimal Wound Healing through Secretion of PDGF-AA
Demaria, M., Ohtani, N., Youssef, S. A., Rodier, F., Toussaint, W., Mitchell, J. R., Laberge, R.-M., Vijg, J., Van Steeg, H., Dollé, M. E. T., et al. (2014) · Developmental Cell · doi:10.1016/j.devcel.2014.11.012 · Cited by 2,045 · see citing works
Chemokine signaling via the CXCR2 receptor reinforces senescence
Acosta, J. C., O'Loghlen, A., Banito, A., Guijarro, M. V., Augert, A., Raguz, S., Fumagalli, M., Da Costa, M., Brown, C., Popov, N., et al. (2008) · Cell · doi:10.1016/j.cell.2008.03.038 · Cited by 1,801 · see citing works
Nrf2 Redirects Glucose and Glutamine into Anabolic Pathways in Metabolic Reprogramming
Mitsuishi, Y., Taguchi, K., Kawatani, Y., Shibata, T., Nukiwa, T., Aburatani, H., Yamamoto, M., & Motohashi, H. (2012) · Cancer Cell · doi:10.1016/j.ccr.2012.05.016 · Cited by 1,395 · see citing works
A proteomic atlas of senescence-associated secretomes for aging biomarker development
Basisty, N., Kale, A., Jeon, O. H., Kuehnemann, C., Payne, T., Rao, C., Holtz, A., Shah, S., Sharma, V., Ferrucci, L., et al. (2020) · PLOS Biology · doi:10.1371/journal.pbio.3000599 · Cited by 1,348 · see citing works
Senolytic CAR T cells reverse senescence-associated pathologies
Amor, C., Feucht, J., Leibold, J., Ho, Y.-J., Zhu, C., Alonso-Curbelo, D., Mansilla-Soto, J., Boyer, J. A., Li, X., Giavridis, T., et al. (2020) · Nature · doi:10.1038/s41586-020-2403-9 · Cited by 1,098 · see citing works
Zhang, P., Kishimoto, Y., Grammatikakis, I., Gottimukkala, K., Cutler, R. G., Zhang, S., Abdelmohsen, K., Bohr, V. A., Misra Sen, J., Gorospe, M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0372-9 · Cited by 977 · see citing works
Unmasking senescence: context-dependent effects of SASP in cancer
Faget, D. V., Ren, Q., & Stewart, S. A. (2019) · Nature Reviews Cancer · doi:10.1038/s41568-019-0156-2 · Cited by 863 · see citing works
The Dual Roles of NRF2 in Cancer
Menegon, S., Columbano, A., & Giordano, S. (2016) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2016.05.002 · Cited by 633 · see citing works
Toso, A., Revandkar, A., Di Mitri, D., Guccini, I., Proietti, M., Sarti, M., Pinton, S., Zhang, J., Kalathur, M., Civenni, G., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.08.044 · Cited by 418 · see citing works
Mori, T., Tanaka, K., Buffo, A., Wurst, W., Kühn, R., & Götz, M. (2006) · Glia · doi:10.1002/glia.20350 · Cited by 398 · see citing works
Identification and characterization of Cardiac Glycosides as senolytic compounds
Triana-Martínez, F., Picallos-Rabina, P., Da Silva-Álvarez, S., Pietrocola, F., Llanos, S., Rodilla, V., Soprano, E., Pedrosa, P., Ferreirós, A., Barradas, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12888-x · Cited by 384 · see citing works
Cardiac glycosides are broad-spectrum senolytics
Guerrero, A., Herranz, N., Sun, B., Wagner, V., Gallage, S., Guiho, R., Wolter, K., Pombo, J., Irvine, E. E., Innes, A. J., et al. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0122-z · Cited by 359 · see citing works
Coppé, J.-P., Patil, C. K., Rodier, F., Sun, Y., Muñoz, D. P., Goldstein, J., Nelson, P. S., Desprez, P.-Y., & Campisi, J. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060301 · Cited by 302 · see citing works
Senescence and Cancer: A Review of Clinical Implications of Senescence and Senotherapies
Wyld, L., Bellantuono, I., Tchkonia, T., Morgan, J., Turner, O., Foss, F., George, J., Danson, S., & Kirkland, J. L. (2020) · Cancers · doi:10.3390/cancers12082134 · Cited by 235 · see citing works
Kohlhapp, F. J., Haribhai, D., Mathew, R., Duggan, R., Ellis, P. A., Wang, R., Lasater, E. A., Shi, Y., Dave, N., Riehm, J. J., et al. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-0759 · Cited by 126 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Kawabata, S., Iijima, H., Kanemura, N., & Murata, K. (2025) · Molecular Neurobiology · doi:10.1007/s12035-024-04666-8
- Authors
- Salam, R., Saliou, A., Bielle, F., Bertrand, M., Antoniewski, C., Carpentier, C., Alentorn, A., Capelle, L., Sanson, M., Huillard, E., Bellenger, L., Guégan, J., & Le Roux, I.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- ORCID
- Venue
- Nature Communications
- Published
- 2023-01-27
- Volume
- 14
- Issue
- 1
- Pages
- 441-441
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC9883514
- OpenAlex
- W4318219023
- Cited by
- 132
- References
- 24
- Citations by year
- 2026: 31 · 2025: 39 · 2024: 47 · 2023: 13 · 2022: 2
- FWCI
- 22.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- HAL (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Institut National de la Santé et de la Recherche Médicale
- Fondation ARC pour la Recherche sur le Cancer
- Ligue Contre le Cancer
- Centre National de la Recherche Scientifique
- Sorbonne Université
- Topics
- Health Sciences › Medicine › Physiology › Telomeres, Telomerase, and Senescence
- Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- glioblastoma, cellular senescence, tumor progression, senolytic therapy, p16INK4a, Nrf2, survival prediction, mouse tumor model, adjuvant therapy
- MeSH terms
- Animals, Female, Gene Expression Regulation, Glioblastoma, Phenotype, Cellular Senescence, Ecosystem, Cyclin-Dependent Kinase Inhibitor p16, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review