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Record W1971906165 · doi:10.3109/13816810.2010.490544

<i>CDKN1C (p57KIP2)</i>mRNA expression in human retinoblastomas

2010· article· en· W1971906165 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

VenueOphthalmic Genetics · 2010
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsUniversity of TorontoUniversity Health Network
FundersOil and Natural Gas CorporationRadboud Universiteit
KeywordsMessenger RNABiologyGeneticsMedicineGene

Abstract

fetched live from OpenAlex

PURPOSE: Quantify cyclin dependent kinase inhibitor 1C (CDKN1C or p57KIP2) mRNA levels in human retinoblastoma tumors (RB) and associate with disease phenotype. METHODS: CDKN1C mRNA expression was quantified in 55 RB, 3 retinoblastoma cell lines, and 12 control retinas by real time PCR. Localization of CDKN1C protein was confirmed by immunohistochemistry. Tumor CDKN1C expression levels were correlated with phenotype. RESULTS: Fifty-three of 55 tumors showed significantly elevated levels of CDKN1C mRNA relative to age-matched or adult retina controls. No significant difference was seen relative to fetal retinal controls or retinoblastoma cell lines. Immunohistochemistry revealed heterogeneous staining of CDKN1C protein in tumor cells, which was mainly nuclear although some protein appeared to be cytoplasmic. No correlation was observed between the CDKN1C mRNA expression levels and tumor phenotype. CONCLUSION: High levels of CDKN1C expression are common in RB. It remains to be determined if elevated expression is a protective response to transformation, provides a selective advantage to tumor cells, or simply reflects the presence of dividing cells.

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 score0.042
Threshold uncertainty score0.981

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 integrity0.0000.001
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 head0.012
GPT teacher head0.276
Teacher spread0.264 · 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