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Record W1974132209 · doi:10.4161/cc.5.9.2713

The Basal Phenotype of BRCA1-Related Breast Cancer: Past, Present and Future

2006· review· en· W1974132209 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

VenueCell Cycle · 2006
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsBreast cancerBiologyCytokeratinPhenotypeCarcinogenesisCancer researchLung cancerCancerOncologyPathologyImmunohistochemistryMedicineGeneImmunologyGenetics

Abstract

fetched live from OpenAlex

Many BRCA1-related tumors have a distinct histological characteristics which together have been called "basal-like." Typically such tumors are ER-, HER2- and express cytokeratin 5/6, cytokeratin 8/18, EGFR and vimentin. These characteristics can be used to predict which breast cancers are most likely to be associated with germline BRCA1 mutations which has important implications for breast pathologists. Moreover, BRCA1-related breast cancers generally have a poorer prognosis which may paradoxically be more pronounced in node negative cancers. This may relate in part to a different pattern of metastatic spread with in increased frequency of brain and lung metastases in BRCA1 carriers. Conversely, BRCA1-related tumors may respond better to neoadjuvant chemotherapy and their characteristic molecular signature may provide opportunities to develop specific molecular targeted therapies akin to traztuzumab in HER2+ cancers. Finally, many of the phenotypic features of BRCA1-related tumors might also be found in putative breast stem cells and therefore characterization of the BRCA1 breast cancer phenotype will improve our understanding of sporadic breast carcinogenesis.

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 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 score0.951
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.008
GPT teacher head0.272
Teacher spread0.264 · 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