The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Glioblastoma is associated with extensive accelerated brain ageing
Open accessPreprint — published as 10.1111/acel.14066 · Paper page
Abstract
Progressive neurocognitive dysfunction is the leading cause of a reduced quality of life in patients with primary brain tumours. Understanding the mechanisms underlying cognitive impairments that occur in response to a brain tumour and its treatment is essential to improve patients’ quality of life. Here, we show that normal-appearing non-tumour brain regions of patients with glioblastoma display hallmarks of accelerated ageing and share multiple features with Alzheimer’s disease patients. Integrated transcriptomic and tissue analysis shows that normal-appearing brain tissue from glioblastoma patients has a significant overlap with brain tissue from Alzheimer’s disease patients, revealing shared mitochondrial and neuronal dysfunction, and proteostasis deregulation. Overall, the brain of glioblastoma patients undergoes Alzheimer’s disease-like accelerated ageing, providing novel or repurposed therapeutic targets for managing brain cancer-related side effects.
Overview
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
Verification
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.
Citations
Cites
The central role of DNA damage in the ageing process
Schumacher, B., Pothof, J., Vijg, J., & Hoeijmakers, J. H. J. (2021) · Nature · doi:10.1038/s41586-021-03307-7 · Cited by 907
Flagged first, then by citations
Research works printed but not linked: 40
- Klasner, A. in Pediatric Emergency Medicine (eds Jill M. Baren , Steven G. Rothrock , John A. Brennan , & Lance Brown ) 385–387 (W.B. Saunders, 2008). · DOI
- Strand, A. D. , Girard, E. & Olson, J. M. in Patient Derived Tumor Xenograft Models (eds Rajesh Uthamanthil & Peggy Tinkey ) 205-216 (Academic Press, 2017). · DOI
- 10.1016/S1470-2045(15)00380-0 · DOI
- 10.1038/nrneurol.2016.70 · DOI
- 10.1215/15228517-2008-093 · DOI
- 10.1016/j.neuron.2022.04.009 · DOI
- 10.1038/nrneurol.2016.185 · DOI
- 10.1212/WNL.39.6.789 · DOI
- 10.1016/S1470-2045(17)30030-X · DOI
- 10.1016/j.tranon.2019.03.004 · DOI
- 10.1038/s41587-019-0114-2 · DOI
- 10.1038/nbt.4038 · DOI · Paper page
- 10.3389/fncel.2018.00235 · DOI
- 10.1186/1471-2407-6-32 · DOI
- 10.1073/pnas.0308512100 · DOI · Paper page
- 10.1093/braincomms/fcab123 · DOI
- 10.1371/journal.pone.0143563 · DOI
- 10.3389/fnmol.2021.747798 · DOI
- 10.1186/s12920-016-0164-y · DOI
- 10.3389/fnins.2018.00464 · DOI · Paper page
- 10.2174/156720510793611592 · DOI
- 10.15252/emmm.201607062 · DOI
- 10.1038/s41571-021-00580-3 · DOI
- 10.1098/rsob.200296 · DOI
- 10.1007/s42764-020-00027-6 · DOI
- 10.7554/eLife.70726 · DOI
- 10.3390/ijms21051666 · DOI · Paper page
- 10.1093/nar/gku1356 · DOI
- 10.3389/fneur.2013.00083 · DOI · Paper page
- 10.1038/s12276-018-0116-z · DOI
- 10.1038/s41598-017-04400-6 · DOI
- 10.1038/s41582-018-0013-z · DOI · Paper page
- 10.1093/bioinformatics/btp616 · DOI · Paper page
- 10.1093/nar/gkz369 · DOI · Paper page
- 10.1093/nar/gkz401 · DOI · Paper page
- 10.1073/pnas.0506580102 · DOI · Paper page
- 10.1093/bioinformatics/btr260 · DOI · Paper page
- 10.1186/s12859-018-2486-6 · DOI
- 10.1016/j.ymeth.2014.11.020 · DOI · Paper page
- 10.1093/database/baac019 · DOI · Paper page
Metadata
- Authors
- Ainslie, A. P., Klaver, M., Voshart, D. C., Gerrits, E., Eggen, B. J. L., Bergink, S., & Barazzuol, L.
- Affiliations
- University Medical Center Groningen (NL)
- Corresponding author
- Bergink, Steven
- Barazzuol, Lara
- ORCID
- Venue
- Aging Cell
- Publisher
- openRxiv
- Published
- 2022-08-25
- Volume
- 23
- Issue
- 3
- Pages
- e14066-e14066
- ISSN
- 1474-9718 (ISSN-L)
- PMC
- PMC10928584
- OpenAlex
- W4390977789
- Cited by
- 16
- References
- 1
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 4
- FWCI
- 4.48
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Aging Cell (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, cc-by)
- Funders
- KWF Kankerbestrijding (11148, 12487)
- Universitair Medisch Centrum Groningen
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Oncology › Glioma Diagnosis and Treatment
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Keywords
- glioblastoma, accelerated brain aging, normal-appearing brain tissue, Alzheimer's disease, mitochondrial dysfunction, neuroinflammation, proteostasis, tau phosphorylation, oxidative DNA damage, cancer treatment side effects, neurocognitive impairment, postmortem brain, transcriptomics
- MeSH terms
- Aging, Alzheimer Disease, Brain, Glioblastoma, Humans, Quality of Life
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
