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Record W2091863340 · doi:10.4161/cc.25330

Tumor suppressor function of miR-483-3p on squamous cell carcinomas due to its pro-apoptotic properties

2013· article· en· W2091863340 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCell Cycle · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsCanadian Nautical Research Society
FundersMinistère de l'Education Nationale, de l'Enseignement Superieur et de la RechercheAssociation pour la Recherche sur le Cancer
KeywordsBiologyApoptosisCancer researchDownregulation and upregulationmicroRNAIn vivoCell growthSuppressorCellCancerKeratinocyteCell biologyIn vitroGeneBiochemistry

Abstract

fetched live from OpenAlex

The frequent alteration of miRNA expression in many cancers, together with our recent reports showing a robust accumulation of miR-483-3p at the final stage of skin wound healing, and targeting of CDC25A leading to an arrest of keratinocyte proliferation, led us to hypothesize that miR-483-3p could also be endowed with antitumoral properties. We tested that hypothesis by documenting the in vitro and in vivo impacts of miR-483-3p in squamous cell carcinoma (SCC) cells. miR-483-3p sensitized SCC cells to serum deprivation- and drug-induced apoptosis, thus exerting potent tumor suppressor activities. Its pro-apoptotic activity was mediated by a direct targeting of several anti-apoptotic genes, such as API5, BIRC5, and RAN. Interestingly, an in vivo delivery of miR-483-3p into subcutaneous SCC xenografts significantly hampered tumor growth. This effect was explained by an inhibition of cell proliferation and an increase of apoptosis. This argues for its further use as an adjuvant in the many instances of cancers characterized by a downregulation of miR-483-3p.

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.

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 score0.019
Threshold uncertainty score0.599

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 studies0.0000.000
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 head0.199
Teacher spread0.189 · 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