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Record W4412054193 · doi:10.1101/2025.07.02.662823

Preclinical Study of Cannflavins A and B Action Against Glioblastoma Cells

2025· preprint· en· W4412054193 on OpenAlexaff
Jennifer Holborn, Hannah N. Robeson, Ellis Chartley, Tiana Gluscevic, Adina Borenstein, Colby Perrin, Begüm Alural, Tariq A. Akhtar, Nina Jones, Jasmin Lalonde

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsBecton Dickinson (Canada)University of Guelph
Fundersnot available
KeywordsGlioblastomaAction (physics)ChemistryCancer researchPharmacologyNeuroscienceMedicineBiologyPhysics

Abstract

fetched live from OpenAlex

A bstract Background Flavonoids represent a large group of naturally occurring polyphenolic compounds, many of which have been found to produce valuable biological outcomes, including action against cancer cells. Glioblastoma multiforme (GBM) is an aggressive type of brain tumor that is associated with a poor prognosis and has limited treatment options. Previous findings suggest that cannflavins can produce promising effects for pancreatic and bladder cancers, but the efficacy of these phytochemicals in attacking brain tumour cells remains unknown. Our study evaluates the potential of cannflavin A and cannflavin B against GBM cells using a range of in vitro approaches. Results We conducted experiments using A-172 and U-87 GBM lines to assess the impact of cannflavins A and B on cell viability, cycle, migration, and invasion capacity. Our results revealed a consistent dose-dependent decrease in cell viability in both lines after the addition of cannflavin B to the culture media. Interestingly, we found that chrysoeriol (the non-prenylated synthesis precursor of cannflavins in the Cannabis sativa plant) only has a limited adverse effect on survival using the same approach, while techtochrysin (an O-methylated flavone) has none. Using time-lapse live-cell imaging and a scratch assay, we also show that cannflavins can inhibit tumor cell migration at concentrations below those that produce significant cell death. Finally, we found that cannflavin B exhibits anti-migratory and anti-invasive properties in transwell and tumorsphere assays, underscoring its multifaceted therapeutic potential. Conclusion These findings suggest that cannflavin B holds promise as a therapeutic agent in the treatment of GBM. H ighlights Cannflavin B but not cannflavin A limits the viability of A-172 and U-87 GBM cells in a concentration- and time-dependent manner. Using time-lapse live-cell imaging and a scratch assay, we provide evidence that cannflavins A and B can inhibit GBM cell migration at concentrations below those that result in a significant reduction in cell viability. Cannflavin B exhibits robust anti-migratory and anti-invasive properties in transwell and tumorsphere assays, underscoring its multifaceted therapeutic potential. Although previous work had reported the capacity of cannflavins A and B to interfere with TrkB and downstream the MAPK/AKT signaling pathways in mouse primary neurons, the effect of those molecules is limited in GBMs, suggesting that other targets are engaged to produce the cellular effects.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.282
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2025
Admission routes1
Has abstractyes

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