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Record W2652345243 · doi:10.1200/po.16.00031

Homologous Recombination Deficiency in Breast Cancer: A Clinical Review

2017· review· en· W2652345243 on OpenAlex
Wendie Den Brok, Kasmintan A. Schrader, Sophie Sun, Anna V. Tinker, Eric Y. Stutheit-Zhao, Samuel Aparício, Karen A. Gelmon

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

VenueJCO Precision Oncology · 2017
Typereview
Languageen
FieldMedicine
TopicPARP inhibition in cancer therapy
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsHomologous recombinationBreast cancerHomologous chromosomeBRCA2 ProteinMedicineDNA repairGermline mutationGermlineCancerClinical significanceBioinformaticsMutationGeneticsBiologyInternal medicineDNAGene

Abstract

fetched live from OpenAlex

BRCA1 and BRCA2 germline mutation–associated breast cancers are known to be deficient in the process of homologous recombination and often respond favorably to drugs targeting this important DNA repair pathway. There is emerging evidence that a significant proportion of patients with BRCA1/ BRCA2 wild-type breast cancer are also deficient in homologous recombination, and it is hypothesized that these patients may derive similar benefit from drugs targeting this pathway. Current research has focused on the development of a companion diagnostic to identify these sporadic BRCA-like tumors. This review outlines the various approaches that researchers have taken to predict homologous recombination deficiency as part of correlative biomarker work in various studies and clinical trials in breast cancer. As some of these tests of homologous recombination deficiency move closer to clinical use, understanding the approach and limitations of each is of relevance to clinicians who treat patients with breast cancer.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.306
GPT teacher head0.592
Teacher spread0.286 · 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