MétaCan
Menu
Back to cohort
Record W1976457595 · doi:10.1158/0008-5472.can-04-1918

Inhibitor of Apoptosis Proteins: Translating Basic Knowledge into Clinical Practice

2004· review· en· W1976457595 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

VenueCancer Research · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsPrincess Margaret Cancer CentreOntario Institute for Cancer Research
Fundersnot available
KeywordsSurvivinCaspaseMalignancyApoptosisCancer researchInhibitor of apoptosisCell cycleCancerSignal transductionBiologyMedicineProgrammed cell deathPathologyCell biologyInternal medicineBiochemistry

Abstract

fetched live from OpenAlex

The inhibitor of apoptosis proteins (IAPs) are a family of antiapoptotic proteins that bind and inhibit caspases 3, 7, and/or 9, but not caspase 8. Growing evidence also indicates that IAPs also modulate cell division, cell cycle progression, and signal transduction pathways. As our basic understanding of IAPs has increased, the knowledge is being translated into clinically useful applications in the diagnosis and treatment of malignancy. For example, IAPs such as survivin are being investigated as diagnostic markers for the presence of occult malignancy. In addition, IAP overexpression is a poor prognostic marker in a variety of solid tumors and hematologic malignancies. Finally, IAPs are attractive therapeutic targets, and efforts are under way to develop antisense and chemical IAP inhibitors that may be useful for the treatment of a variety of malignancies. For all of these potential clinical applications, however, the challenge remains to incorporate these findings into actual clinical practice.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0010.001
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 head0.158
GPT teacher head0.518
Teacher spread0.360 · 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