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Record W2966086076 · doi:10.3892/etm.2019.7845

GSK343 induces autophagy and downregulates the AKT/mTOR signaling pathway in pancreatic cancer cells

2019· article· en· W2966086076 on OpenAlexfundno aff
Hao Xu, Linshi Zhang, Xiaohui Qian, Xiaohu Zhou, Yingcai Yan, Jiarong Zhou, Wenhao Ge, Mugahed Abdullah Hasan Albahde, Weilin Wang

Bibliographic record

VenueExperimental and Therapeutic Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicAutophagy in Disease and Therapy
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaPublic Health Agency of Canada
KeywordsPI3K/AKT/mTOR pathwayPancreatic cancerCell cycleProtein kinase BAutophagyViability assayCancer researchApoptosisCell growthOncogeneCancerBiologyCellCancer cellSignal transductionChemistryCell biologyBiochemistry

Abstract

fetched live from OpenAlex

Pancreatic cancer is a common malignancy that has a poor prognosis and limited therapeutic options. Enhancer of zeste homolog 2 (EZH2) serves a key role in the progression of different types of cancers. The effect of GSK343 (a competitive inhibitor of EZH2) on pancreatic cancer cells was assessed in the present study. Cell viability was evaluated using MTT and cell counting kit-8 assays in AsPC-1 and PANC-1 cells. Flow cytometry and an EdU assay were also performed to assess the effects of GSK343 on cell proliferation, apoptosis and the cell cycle. The induction of autophagy and associated molecular mechanisms were studied using fluorescence microscopy and western blot analysis. The results demonstrated that GSK343 inhibited cell viability in a dose- and time-dependent manner. Furthermore, GSK343 suppressed cell proliferation, promoted apoptosis and blocked cell cycle progression at the G1-phase. Furthermore, GSK343 induced autophagy in pancreatic cancer via the AKT/mTOR signaling pathway. In conclusion, GSK343 exhibited an anti-cancer effect on pancreatic cancer cells, downregulating the AKT/mTOR signaling pathway.

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 categoriesInsufficient payload (model declined to judge)
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 score0.084
Threshold uncertainty score0.999

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)0.0010.000

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 head0.019
GPT teacher head0.293
Teacher spread0.274 · 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.

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

Citations25
Published2019
Admission routes1
Has abstractyes

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