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Record W2162808671 · doi:10.1158/0008-5472.can-09-3669

The Mitogen-Activated Protein Kinase Kinase 4 Has a Pro-Oncogenic Role in Skin Cancer

2010· article· en· W2162808671 on OpenAlexfundno aff
Katherine G. Finegan, Cathy Tournier

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMelanoma and MAPK Pathways
Canadian institutionsnot available
FundersCentre National de la Recherche ScientifiqueInstitute of GeneticsWellcome Trust
KeywordsCarcinogenesisProtein kinase AMAPK/ERK pathwayKinaseCancerCancer researchBiologyCell biologyMitogen-activated protein kinaseSignal transductionCancer cellGenetics

Abstract

fetched live from OpenAlex

The mitogen-activated protein kinase (MAPK) kinase 4 (MKK4) is a nonredundant component of stress-activated MAPK signaling modules. Its function in tumorigenesis remains highly controversial with some studies indicating that MKK4 is a tumor suppressor, whereas others have reported a pro-oncogenic role. To clarify the role of MKK4 in cancer, we have created a novel mouse model to test the effect of the specific loss of MKK4 in the epidermis on the formation of papillomas caused by activated ras mutation. We have discovered that skin-specific MKK4-deficient mice are resistant to carcinogen-induced tumorigenesis. One mechanism by which MKK4 promotes cell proliferation and the formation of tumors is by increasing epidermal growth factor receptor expression through the c-Jun NH(2)-terminal protein kinase/c-Jun signaling pathway. Together, our results provide the first genetic demonstration that MKK4 is essential to mediate the oncogenic effect of Ras in vivo, thereby validating MKK4 as a potential drug target for cancer therapy.

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)0.001
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 score0.254
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.350
Teacher spread0.306 · 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

Citations39
Published2010
Admission routes1
Has abstractyes

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