Identification of novel genetic gains and losses in early age of onset breast cancer by array comparative genomic hybridization
Bibliographic record
Abstract
Breast cancer represents the most frequent female cancer. Hereditary breast cancers usually arise at an earlier age and are often multifocal or bilateral. Early age of onset breast carcinomas generally exhibit more aggressive features. Moreover, they are usually associated with poorer prognosis. Gene amplifications and deletions frequently contribute to tumorigenesis. This study aimed to identify and characterize specific regions of alteration that are associated with each subgroup; early age of onset and familial breast tumors by array comparative genomic hybridization (aCGH). A number of alterations, many of which have been shown in breast cancer through conventional CGH were identified. Several gains including 8q24, 11g12-q13, 16p, 17q12 and 19g13.2 were studied and validated by Real time PCR. Moreover, a gain on chromosome 16p was narrowed down to 16p12.3. In this region ARL6IP1, an inhibitor of apoptosis, was found to be amplified in 18% of tumors and may represent a candidate oncogene.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".