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Record W4402816240 · doi:10.1093/bbb/zbae132

Epidermal growth factor induces the initiation of epithelial mesenchymal transition in high-density colorectal cancer cell culture

2024· article· en· W4402816240 on OpenAlexaff
Yuuri Take, Fumi YOSHIDA, Ryo Tanaka, Yusuke Nakanishi, Kyoko Takahashi

Bibliographic record

VenueBioscience Biotechnology and Biochemistry · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsNutrasource
FundersNihon University
KeywordsEpithelial–mesenchymal transitionDownregulation and upregulationEpidermal growth factorCell biologyMesenchymal stem cellCancer researchCell cultureColorectal cancerCancer cellBiologyCell migrationCell growthCellSignal transductionMetastasisChemistryCancerBiochemistry

Abstract

fetched live from OpenAlex

Epithelial-mesenchymal transition (EMT) is a step in the process through which colorectal cancer cells metastasize by gaining the cellular mobility associated with mesenchymal cells. However, whether the EMT occurs in cells tightly bound to each other remains largely unknown. In this study, we examined the dual influence of intercellular contact and epidermal growth factor (EGF) signaling on the induction of EMT in SW480 human colon carcinoma cells. Stimulation of densely cultured SW480 cells with EGF initiated partial EMT, following which E-cadherin levels were reduced. In these cells, the transcriptional repression of E-cadherin was caused by ZEB1 binding to its promoter region. EGF signaling did not directly induce ZEB1 mRNA upregulation but contributed to ZEB1 protein stability by regulating proteasomal degradation. Our findings indicate that EGF can induce EMT in colorectal cancer cells in the presence of cell-cell contact and may be a potential therapeutic target for metastasis.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.282

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 studies0.0000.001
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 head0.010
GPT teacher head0.251
Teacher spread0.241 · 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

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