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Record W2154156667 · doi:10.2174/156652413804810727

PRAME/EZH2-Mediated Regulation of TRAIL: A New Target for Cancer Therapy

2013· review· en· W2154156667 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 Molecular Medicine · 2013
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health Network
FundersConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsCancerCancer cellCancer therapyTumor necrosis factor alphaApoptosisCancer researchAgonistEndogenyReceptorMedicineBiologyImmunologyInternal medicineGenetics

Abstract

fetched live from OpenAlex

The tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) exerts a cancer cell-specific pro-apoptotic activity. This property made the TRAIL associated pathway one of the most promising strategies aimed at inducing tumor-selective death. In fact, several approaches have been considered to explore this pathway for cancer therapy, such as recombinant TRAIL, agonist antibodies for TRAIL receptors, and adenoviral TRAIL. However, all of these approaches have certain disadvantages that limit their clinical use. Our recent discovery that the complex PRAME/EZH2 is able to repress TRAIL expression, in a cancer-specific manner, suggests an alternative approach for combined cancer therapy. A genetic or pharmacological inhibition of TRAIL repressors in cancer cells could restore endogenous TRAIL expression, thereby overcoming some of the limitations of and/or cooperating with previous approaches.

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 score0.937
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
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 head0.056
GPT teacher head0.370
Teacher spread0.314 · 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