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Record W4404237231 · doi:10.1093/neuonc/noae165.0909

NCOG-27. HIGHER LEVELS OF SERUM ICAM-1 AND IL-10 ARE ASSOCIATED WITH COGNITIVE DYSFUNCTION IN BOTH IDH-WILDTYPE AND IDH-MUTANT GLIOMA

2024· article· en· W4404237231 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNeuro-Oncology · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicInflammation biomarkers and pathways
Canadian institutionsnot available
Fundersnot available
KeywordsWild typeMutantGliomaBiologyCancer researchGeneticsGene

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Cognitive dysfunction is common among glioma patients, but the contribution of specific mechanisms to the development of cognitive symptoms is unclear. Circulating levels of proteins linked to neurodegeneration, inflammation, and vascular damage have been associated with cognitive symptoms in neurological diseases and aging, but their prognostic value in glioma is unknown. Here, we examined associations between cognitive symptoms and serum levels of protein biomarkers in glioma patients. METHODS Cognitive function was evaluated using the Montreal Cognitive Assessment (MoCA, scores ≤ 25 = cognitive dysfunction). Cytokines (interleukin-1β [IL-1β], IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-13, interferon-γ [IFN-γ], tumor necrosis factor-α [TNF-α]), and neurodegeneration (neurofilament light chain [NfL], tau, glial fibrillary acidic protein [GFAP]), and vascular damage markers (Serum amyloid A [SAA], C-reactive protein [CRP], vascular cell adhesion molecule 1 [VCAM-1], and intercellular adhesion molecule 1 [ICAM-1]) were measured using ultrasensitive assays (Meso Scale Discovery). RESULTS Patients (n=73) were predominantly male (58%), white (74%), with a median age of 44 (range=24,74). Cognitive dysfunction was found in 53% of the patients. Levels of NfL (p=0.035), IL-6 (p=0.006), IL-10 (p=0.007), TNF-α (p=0.035), IFN-γ (p=0.011), CRP (p=0.016), VCAM-1 (p=0.012), and ICAM-1 (p<0.001) were higher in patients with cognitive dysfunction when compared to those with normal cognition. After adjusting for isocitrate dehydrogenase (IDH) tumor mutation status, age, tumor grade, and number of surgeries, higher levels of ICAM-1 and IL-10, but not other markers, remained associated with cognitive dysfunction. MoCA scores were negatively correlated with GFAP (r=-0.24, p=0.038), IFN-γ (r=-0.31, p=0.008), IL-6 (r=-0.29, p=0.014), IL-10 (r=-0.24, p=0.039), and ICAM-1 (r=-0.39, p<0.001). CONCLUSIONS ICAM-1 and IL-10 levels were higher in patients with MOCA determined cognitive dysfunction, suggesting an association between cognitive symptoms and inflammation and vascular impairment in glioma patients. Future analyses in larger longitudinal cohorts are warranted to assess the predictive value of protein biomarkers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.750
Threshold uncertainty score0.698

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.246
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it