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Record W2035194994 · doi:10.1038/cr.2015.16

SMARCE1 suppresses EGFR expression and controls responses to MET and ALK inhibitors in lung cancer

2015· article· en· W2035194994 on OpenAlexafffund
Andreas I. Papadakis, Chong Sun, Theo Knijnenburg, Yibo Xue, Wipawadee Grernrum, Michael Hölzel, Wouter Nijkamp, Lodewyk F.A. Wessels, Roderick L. Beijersbergen, René Bernards, Sidong Huang

Bibliographic record

VenueCell Research · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsMcGill University Health Centre
FundersCanadian Institutes of Health ResearchKWF Kankerbestrijding
KeywordsBiologyCancer researchGefitinibGene knockdownLung cancerTranscription factorChromatin remodelingCarcinogenesisSuppressorEpidermal growth factor receptorCyclin-dependent kinase 8Signal transductionChromatinChromatin immunoprecipitationNotch signaling pathwayCancerCell biologyGene expressionCell cultureGeneGeneticsPathologyMedicine

Abstract

fetched live from OpenAlex

Recurrent inactivating mutations in components of SWI/SNF chromatin-remodeling complexes have been identified across cancer types, supporting their roles as tumor suppressors in modulating oncogenic signaling pathways. We report here that SMARCE1 loss induces EGFR expression and confers resistance to MET and ALK inhibitors in non-small cell lung cancers (NSCLCs). We found that SMARCE1 binds to regulatory regions of the EGFR locus and suppresses EGFR transcription in part through regulating expression of Polycomb Repressive Complex component CBX2. Addition of the EGFR inhibitor gefitinib restores the sensitivity of SMARCE1-knockdown cells to MET and ALK inhibitors in NSCLCs. Our findings link SMARCE1 to EGFR oncogenic signaling and suggest targeted treatment options for SMARCE1-deficient 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 score0.003

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 integrity0.0000.000
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 head0.052
GPT teacher head0.393
Teacher spread0.342 · 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

Citations42
Published2015
Admission routes2
Has abstractyes

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