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Record W7036975607

Development of novel biomarker drugs for detection and therapeutic monitoring of glioblastoma

2024· dissertation· en· W7036975607 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2024
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBiological Control of Invasive Species
Canadian institutionsnot available
Fundersnot available
KeywordsAcetylationRimantadineAmantadineCell cultureEnzymeAcetyltransferase
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Glioblastoma multiforme (GBM) is an aggressive brain tumor, comprising 46% of all malignant primary brain tumors. Despite advancements in surgery, radiation, and chemotherapy, GBM prognosis remains poor, with a median survival of 14–16 months. More effective diagnostic and therapeutic strategies are urgently needed. Previous studies have shown amantadine, a Health Canada-approved drug, is metabolized via Spermidine/spermine acetyl transferase 1 (SAT1). As SAT1 expression is increased in many different cancers, the present studies examined the acetylation of amantadine and related drugs by GBM cells to determine the potential of these agents as biomarker candidates. Methods: The acetylation of spermidine, amantadine, rimantadine and hydroxyl rimantadine were examined using recombinant acetyltransferase enzymes and human GBM cell lines (U251, LN229, MD59K) cultured under normal conditions and following SAT1 induction with N(1),N(11)-diethylnorspermine (DENSpm) (10uM). The formation of acetylated metabolites was determined either indirectly through fluorometric acetyltransferase assay kit or directly by liquid chromatography mass spectroscopy (LCMS) detection methods. The expression of SAT1 and SAT2 in the GBM cells was determined using immunofluorescence and western blot. The permeability of amantadine, rimantadine and their respective acetylated metabolites were also examined a microfluidic culture model of the blood-brain barrier (BBB). Results: The study highlights SAT1-driven acetylation of amantadine and rimantadine, with acetyl rimantadine formation showing as much as 10-times greater accumulation in GB tumor cells and in the SAT1 recombinant enzyme assays compared to amantadine. Permeability of both the drugs and their acetylated metabolites in the microfluidic BBB culture model ranged from 1 x 10-6 to 10-4 cm/s and were consistent with solutes that can readily pass the BBB. While the acetylation of amantadine and rimantadine was selective for SAT1, studies suggest potential for direct acetylation by acetyl CoA that requires further investigation in the context of GBM drug metabolism. Conclusions: Both amantadine and rimantadine may serve as GBM progression biomarkers, with Acetyl rimantadine showing better potential for diagnostic accuracy based on greater acetylated metabolite formation in GBM cells. These findings suggest that rimantadine could be a more effective biomarker candidate for GBM therapy monitoring.

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.

How this classification was reachedexpand

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 score0.799
Threshold uncertainty score0.950

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.219
Teacher spread0.187 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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