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Record W3094952185 · doi:10.1101/2020.11.04.368746

E-cadherin interacts with EGFR resulting in hyper-activation of ERK in multiple models of breast cancer

2020· preprint· en· W3094952185 on OpenAlexaff
Gabriella C. Russo, Ashleigh J. Crawford, D.D. Clark, Julie Cui, Ryan M. Carney, Michelle N. Karl, Boyang Su, Bartholomew Starich, T. Mamie Lih, Pratik Kamat, Qiming Zhang, Pei‐Hsun Wu, Meng‐Horng Lee, Hon S. Leong, Vito W. Rebecca, Hui Zhang, Denis Wirtz

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2020
Typepreprint
Languageen
FieldMedicine
TopicCancer Cells and Metastasis
Canadian institutionsSunnybrook Health Science CentreUniversity of Toronto
FundersNational Cancer InstituteJohns Hopkins University
KeywordsCadherinCancer researchMAPK/ERK pathwayBreast cancerEpithelial–mesenchymal transitionIn vivoMetastasisPhenotypeBiologyChemistryCancerSignal transductionCell biologyMedicineInternal medicineGeneCell

Abstract

fetched live from OpenAlex

ABSTRACT The loss of the intercellular adhesion molecule E-cadherin is a hallmark of the epithelial- mesenchymal transition (EMT), during which tumor cells transition into an invasive phenotype. Accordingly, E-cadherin has long been considered a tumor suppressor gene. Using novel multi-compartment spheroids and multiple in vivo models, we show that E-cadherin promotes a hyper-proliferative phenotype in breast cancer cells via interaction with the transmembrane receptor EGFR. This interaction results in the activation of the MEK/ERK signaling pathway, leading to a significant increase in proliferation via the activation of transcription factors including c-Fos. Pharmacological inhibition of MEK activity in E-cadherin positive breast cancer cells significantly decreases both tumor growth and macro-metastasis in vivo . This work provides evidence for a novel role of E-cadherin in breast tumor growth and identifies a potential new target to treat hyper-proliferative E-cadherin-positive breast tumors.

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 score0.001
Threshold uncertainty score0.005

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)0.0010.000

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 head0.037
GPT teacher head0.252
Teacher spread0.215 · 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

Citations10
Published2020
Admission routes1
Has abstractyes

Explore more

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