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Record W1925308079 · doi:10.21037/1123

Targeting ataxia-telangiectasia mutated deficient malignancies with poly ADP ribose polymerase inhibitors

2013· article· en· W1925308079 on OpenAlexaff
Sarvan Kumar Radhakrishnan, D. Gwyn Bebb, Susan P. Lees‐Miller

Bibliographic record

VenueTranslational Cancer Research · 2013
Typearticle
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAtaxia-telangiectasiaPoly ADP ribose polymeraseCancer researchPolymeraseDNA repairDNA damageMutationDNABiologyGeneMolecular biologyGenetics

Abstract

fetched live from OpenAlex

Small molecule inhibitors of poly ADP ribose polymerase (PARP) have shown considerable promise as therapeutic agents in human malignancies with disruption of the breast and ovarian cancer susceptibility genes BRCA1 or BRCA2 . Evidence is also accumulating that disruption of other genes involved in the detection and/or repair of DNA damage, in particular DNA double strand breaks (DSBs), may also have a synthetic lethal relationship with PARP. One of these is the DNA damage activated protein kinase, ataxia-telangiectasia mutated (ATM). Several studies have shown that ATM deficiency is common in a broad range of hematological and solid malignancies. Here, we discuss the potential for using PARP inhibitors in human cancers with mutation or disruption of ATM .

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.087
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.062
GPT teacher head0.379
Teacher spread0.317 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations8
Published2013
Admission routes1
Has abstractyes

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