The Basal Phenotype of BRCA1-Related Breast Cancer: Past, Present and Future
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".