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Record W2495165514 · doi:10.1158/1538-7445.am2016-4316

Abstract 4316: Pharmacological targeting of the TGF-beta-induced epithelial-mesenchymal transition by anthocyanidins in glioblastoma

2016· article· en· W2495165514 on OpenAlexaff
Amira Ouanouki, Évelyne Muhire, Sylvie Lamy, Borhane Annabi

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsAnthocyanidinsEpithelial–mesenchymal transitionDelphinidinCancer researchTumor progressionTransforming growth factor betaBiologyCancerTransforming growth factorChemistryMedicineMetastasisCell biologyBiochemistryInternal medicineCyanidinFlavonoid

Abstract

fetched live from OpenAlex

Abstract Introduction: Glioblastoma multiforme (GBM) is the most common primary brain tumor, known for its invasiveness and high resistance to standard treatments. Therefore, better understanding of the mechanisms that promote mesenchymal changes in GBM are of great clinical importance. Epithelial to mesenchymal transition (EMT) is a reversible biological process in which epithelial cells adopt mesenchymal properties. During EMT, migration, adhesion and cellular morphology are altered allowing benign tumor cells to infiltrate surrounding tissues and to metastasize to distant sites. Several growth factors have been shown to trigger EMT in tumor development; the Transforming Growth Factor-beta (TGF-b) is the most prominent inducer of EMT. Epidemiological studies have shown that diets rich in fruits and vegetables play an important role in preventing cancer due to their polyphenol content. Among polyphenols, the anthocyanidins, found in berries, red grapes, and other pigmented foods, plants and vegetables, have anti-inflammatory, cardioprotective, anti-angiogenic and anti-carcinogenic properties. Despite the well-known role of TGB-b in tumor progression, the impact of anthocyanidins on TGF-b-induced EMT remains misunderstood. Objectives: 1) Characterize the pharmacological effects of anthocyanidins (cyanidin, delphinidin, malvidin, pelargonidin and petunidin) on EMT, 2) identify the molecular targets leading to the inhibition of EMT modulated by anthocyanidins, and 3) characterize their effect on cellular activities involved in this tumor process. Methodology: The human U-87 glioblastoma (U-87 MG) cells were treated with anthocyanidins in pre-, co- and post-treatment with TGF-b. Results: Depending on the treatment, anthocyanidins affect differently the EMT induction by inhibiting U-87 MG cell migration. This inhibition resulted in a down-regulation of mesenchymal markers (fibronectin, snail), phosphorylation of Smad2 proteins and the mitogen-activated protein kinases (ERK, JNK) in a dose-dependent manner. Overall, delphinidin was the most potent inhibitor for all treatments. Conclusion: This study highlights a new antimetastatic action of anthocyanidins that supports the beneficial health and chemopreventive effects of dietary-based strategies against cancer. Citation Format: Amira Ouanouki, Evelyne Muhire, Sylvie Lamy, Borhane Annabi. Pharmacological targeting of the TGF-beta-induced epithelial-mesenchymal transition by anthocyanidins in glioblastoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4316.

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 score0.011

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.038
GPT teacher head0.359
Teacher spread0.322 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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