Evidence map›Paper›PMID 41613043›Full record

ArticleNeuro-oncology advances

Age-dependent glioma progression and functional decline in a syngeneic murine model: Host vulnerabilities and opportunities for targeted intervention.

Heloise Leblanc, Michelle Buzharsky, Xaralabos Varelas, Emanuela Binello, Steve Ramirez

Abstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Heloise LeblancGraduate Program for Neuroscience, Boston University, Boston, Massachusetts (H.L., M.B.).ORCID https://orcid.org/0000-0001-6355-3575
Michelle BuzharskyGraduate Program for Neuroscience, Boston University, Boston, Massachusetts (H.L., M.B.).
Xaralabos VarelasDepartment of Biochemistry and Cell Biology, Boston University Chobanian and Avedisian School of Medicine, Massachusetts (X.V.).
Emanuela BinelloBoston University Chobanian and Avedisian School of Medicine, Boston, Massachusetts (H.L., M.B.).
Steve RamirezCenter for Systems Neuroscience, Boston University, Boston, Massachusetts (H.L., M.B., S.R.).ORCID https://orcid.org/0000-0002-9966-598X

Funding

Defining immune-evasive mechanical signaling in head and neck cancerR01DE033519 · NIDCR · BOSTON UNIVERSITY MEDICAL CAMPUS · PI MARIA A. KUKURUZINSKA, STEFANO MONTI · 2024 to 2026
$2.0M
NIDCR NIH HHS R01 DE033519
6 · The paper itself

Abstract

Background: GBM disproportionately affects older adults, who experience worse survival outcomes and reduced tolerance to aggressive therapies. Despite this, most preclinical GBM studies rely on young animal models, limiting insight into how aging influences tumor progression and treatment vulnerability. The aim of this study was to determine how aging alters glioma growth, survival outcomes, and host brain responses. Methods: We used a syngeneic murine glioma model to compare young (6-7 weeks) and aged (85-86 weeks) mice implanted with SB28 glioma cells. We assessed survival, functional status (nesting behavior, weight loss), whole-brain tumor infiltration, and glial reactivity. Quantitative histology and image registration to the Allen Brain Atlas enabled region-specific tumor and glial burden analyses. Results: Aged glioma-bearing mice exhibited significantly reduced survival, increased functional impairment (including impaired nesting and weight loss), and broader tumor infiltration, particularly within white matter tracts. Tumor volume alone did not account for these differences; multivariable logistic regression identified age as the only independent predictor of mortality. Aged brains also displayed heightened extratumoral neuroinflammation, especially in regions involved in motivation and cognitive function. Conclusions: Aging is associated with a brain environment that permits greater glioma infiltration and is further characterized by heightened glial reactivity and reduced functional resilience to tumor burden. These findings underscore the limitations of relying solely on young animal models in GBM research and support incorporating aging as a critical variable. Targeting neuroinflammatory responses in the aged brain may represent a promising adjunct strategy to improve survival and preserve neurological function in older GBM patients.

Indexed as

aginggliomagliosisgrowth patterns

Identifiers

PMID41613043
PMCPMC12848224

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.