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Record W2080013376 · doi:10.1158/2159-8290.cd-13-1049

MYCxing It Up with FGFR1 in Squamous Cell Lung Cancer

2014· letter· en· W2080013376 on OpenAlexfundno aff
William W. Lockwood, Katerina Politi

Bibliographic record

VenueCancer Discovery · 2014
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFibroblast Growth Factor Research
Canadian institutionsnot available
FundersNational Cancer InstituteCanadian Institutes of Health Research
KeywordsFibroblast growth factor receptor 1Lung cancerCancer researchBiologyCellCancerFibroblast growth factorBasal cellCell growthReceptorOncologyMedicinePathologyGenetics

Abstract

fetched live from OpenAlex

Recurrent amplification of 8p12 is observed in squamous cell lung cancer, and FGFR1 is thought to be the main oncogenic driver in this region. In this issue of Cancer Discovery, Malchers and colleagues perform a detailed characterization of 8p12 in squamous cell lung cancer and find remarkable genomic heterogeneity in this region, raising the possibility that other genes in addition to FGFR1 may play a role in squamous cell lung cancer. Mechanistic studies of the FGFR1-amplified subset of squamous cell lung cancer reveal potential roles for fibroblast growth factor (FGF) ligands and MYC expression levels in modulating the response of these tumors to FGF receptor inhibition.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.013
GPT teacher head0.283
Teacher spread0.270 · 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 designNot applicable
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

Citations5
Published2014
Admission routes1
Has abstractyes

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