MétaCan
Menu
Back to cohort
Record W2071672251 · doi:10.2174/1568009043333005

Targeting Translation for Treatment of Cancer - A Novel Role for IRES?

2004· review· en· W2071672251 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

VenueCurrent Cancer Drug Targets · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsInternal ribosome entry siteTranslation (biology)Untranslated regionBiologyEukaryotic translationCell biologyProtein biosynthesisCancer cellCancerCancer researchMessenger RNAGeneticsGene

Abstract

fetched live from OpenAlex

Protein synthesis plays an important role in the regulation of cell proliferation. While the role of cap-dependent translation in cell transformation has been studied extensively another translation initiation mechanism, internal initiation of cellular mRNAs, emerged recently and is relatively unappreciated and poorly understood. Internal initiation is mediated by IRES elements that are found in the 5' untranslated region (5' UTR) of mRNA. Curiously, several oncogenes, growth factors and proteins involved in the regulation of programmed cell death contain IRES elements in their 5' UTRs. Internal initiation escapes many control mechanisms that regulate cap-dependent translation. In this review I will discuss the data supporting the hypothesis that selective translation of these factors may contribute to the survival of cancer cells under stressful situations, such as lack of nutrients, hypoxia, or therapy-induced DNA damage and contributes to the development and progression of cancer and to the establishment of cancer cells that are resistant to conventional therapies.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.074
GPT teacher head0.399
Teacher spread0.325 · 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