Expression of oestrogen receptor-β in oestrogen receptor-α negative human breast tumours
Bibliographic record
Abstract
To analyse the phenotype of breast tumours that express oestrogen receptor-beta (ERbeta) alone tissue microarrays were used to investigate if ERbeta isoforms are associated with specific prognostic markers and gene expression phenotypes in ERalpha-negative tumours. ERalpha-negative tumours were positive for ERbeta1 in 58% of cases (n=122/210), total ERbeta in 60% (n=115/192) and ERbeta2/cx in 57% of cases (n=114/199). Oestrogen receptor-beta1 and total ERbeta were significantly correlated with Ki67 (r=0.28, P<0.0001, n=209; r=0.29, P<0.0001, n=191) and with CK5/6, a marker of the basal phenotype (r=0.20, P=0.0106, n=170; r=0.18, P=0.0223, n=158). ERbeta2/cx was strongly associated with p-c-Jun and NF-kappaBp65 (r=0.53, P<0.0001, n=93; r=0.35, P<0.0001, n=176). This study shows that a range of ERbeta isoform expression occurs in ERalpha-negative breast tumours. While expression of ERbeta1, total and ERbeta2/cx are correlated, individual forms show associations with certain phenotypes that suggest different roles in subsets of ERalpha-negative cancers. Based on our in vivo observations, ERbeta may have the potential to become a therapeutic target in the specific subcohort of ERalpha-negative breast cancers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".