Amplified in breast cancer 1 expression in breast cancer
Bibliographic record
Abstract
AIMS: The amplified in breast cancer 1 (AIB1), steroid receptor co-activator family member, acts as an oestrogen receptor (ER) co-activator. Acting with HER-2, it is thought to play a role in endocrine resistance by facilitating ER-growth factor crosstalk. The aim was to analyse AIB1 expression by immunohistochemistry and study its correlations with other prognostic variables in breast cancer and its effect on survival. METHODS: A tissue microarray comprising tumours from 438 patients with 15.4 years' median follow-up was used. Interpretable AIB1 expression obtained in 395 patients was analysed along with other prognostic factors in breast cancer. RESULTS: AIB1 expression scores ranged from 0 to 30; positive AIB1 expression (score > 14) was seen in 146/395 breast cancers; it correlated negatively with ER (P = 0.003) and progesterone receptor (PR) (P = 0.007), and positively with HER-2 (P = 0.005) and tumour grade (P = 0.014). It did not correlate with nodal status (P = 0.437). Among ER+ patients, AIB1 expression showed a trend towards loss of PR expression (29% versus 20%; P = 0.14). AIB1 did not predict survival on univariate or multivariate analysis. CONCLUSIONS: AIB1 expression correlates with HER-2 expression in breast cancer and shows a trend of association with loss of PR expression in ER+ tumours. Our study supports the postulated role of AIB1 in ER-growth factor interactions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".