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Record W4385223860 · doi:10.35516/jjps.v16i2.1528

Elaeagnus Angustifolia Plant Extract inhibits Epithelial- mesenchymal Transition in Human Colorectal Cancer via β-catenin/JNK signaling Pathways

2023· article· en· W4385223860 on OpenAlexaff
Arij Fouzat Hassan, Ashraf Khalil, Ala‐Eddin Al Moustafa

Bibliographic record

VenueJordan Journal of Pharmaceutical Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicPhytochemical and Pharmacological Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsColorectal cancerEpithelial–mesenchymal transitionDownregulation and upregulationVimentinCancer researchCell growthSignal transductionCell cultureCateninCellCell cycleCancerBiologyChemistryWnt signaling pathwayCell biologyImmunologyBiochemistryImmunohistochemistryGeneticsGene

Abstract

fetched live from OpenAlex

Elaeagnus angustifolia (EA) is a traditional plant that has been used as an alternative medicine for centuries. EA roles as anti-cancer has been investigated against different types of cancer, however, its effect against human cancer has not been investigated yet. Therefore, we investigated the aqueous EA extract effect on colorectal cancer (CRC) cell lines (HCT-116 and LoVo) and examined its underlying mechanisms of action in vitro. Our results showed that EA inhibited cell proliferation and disturbed cell-cycle progression of both CRC cell lines comparing to the control. Moreover, EA extract significantly reduced colony formation in addition to migration and invasion ability of both CRC cell lines this is confirmed by significant upregulation of E-cadherin and Pan-cadherin as well as down regulation of Vimentin. Further, β-catenin/JNK signaling pathway was analyzed and we found that EA extract significantly blocked the activity of total and phosphorylated β-catenin and JNK1/2/3.

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)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.100
GPT teacher head0.387
Teacher spread0.287 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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