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Record W1963819705 · doi:10.1097/cad.0b013e328341185b

Inhibiting aberrant Stat3 function with molecular therapeutics

2010· review· en· W1963819705 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

VenueAnti-Cancer Drugs · 2010
Typereview
Languageen
FieldMedicine
TopicCytokine Signaling Pathways and Interactions
Canadian institutionsAmgen (Canada)University of Toronto
Fundersnot available
KeywordsSTAT3STAT proteinCancer researchDownregulation and upregulationBiologyMultiple myelomaSignal transductionCell biologyImmunologyGeneGenetics

Abstract

fetched live from OpenAlex

Aberrantly activated signal transducer and activator of transcription 3 (Stat3) protein plays a master regulatory role in the progression and survival of human cancers through the upregulation of target protooncogenes. Numerous human cancers, including breast, ovarian, prostate, leukemia, lymphoma, multiple myeloma, and brain cancers have been shown to harbor constitutively active Stat3 protein resulting in the expression of protooncogenes. The transcriptionally active Stat3-Stat3 protein homodimer has been extensively targeted as a means to suppress the aberrant Stat3 function in human cancer. This review will outline the recent progress made toward identifying drug-like compounds capable of effectively inhibiting aberrant Stat3 signaling through the disruption of Stat3 protein-protein interactions.

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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.047
GPT teacher head0.352
Teacher spread0.305 · 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