Phospho-Serine-118 Estrogen Receptor-α Expression Is Associated with Better Disease Outcome in Women Treated with Tamoxifen
Bibliographic record
Abstract
PURPOSE: The purpose of this research was to determine whether estrogen receptor alpha specifically phosphorylated at Ser(118) is associated with clinical outcome in primary breast tumors from estrogen receptor-positive and node-negative breast cancer patients. EXPERIMENTAL DESIGN: Estrogen receptor alpha specifically phosphorylated at Ser(118) was determined by immunohistochemistry in 117 primary breast tumors from node-negative patients who were subsequently treated with adjuvant tamoxifen. The relationship of estrogen receptor alpha specifically phosphorylated at Ser(118) expression to disease-free survival and overall survival was determined. RESULTS: Estrogen receptor alpha specifically phosphorylated at Ser(118) was limited to estrogen receptor alpha ligand binding assay-positive tumors and among this subset was expressed in 70 (62%) of these tumors. Estrogen receptor alpha specifically phosphorylated at Ser(118) expression was more frequently observed in progesterone receptor-positive tumors compared with progesterone receptor-negative tumors (chi(2) test, P = 0.012, n = 113). A significant correlation was also seen between estrogen receptor alpha specifically phosphorylated at Ser(118) and progesterone receptor levels (Spearman r = 0.236, P = 0.0118, n = 113). Kaplan-Meier outcome analysis showed that patients whose primary tumors expressed estrogen receptor alpha specifically phosphorylated at Ser(118) had a longer disease-free survival (P = 0.0018, n = 113) and a trend toward better overall survival, but this was not statistically significant. Among the subset of progesterone receptor-positive tumors, progesterone receptor-positive/estrogen receptor alpha specifically phosphorylated at Ser(118)-positive patients had a significantly longer disease-free survival that progesterone receptor-positive/estrogen receptor alpha specifically phosphorylated at Ser(118)-negative patients (P = 0.0041). CONCLUSIONS: Our data suggest that estrogen receptor alpha specifically phosphorylated at Ser(118) is a marker of a functional, intact ligand-dependent estrogen receptor signaling pathway in breast cancer and that estrogen receptor alpha specifically phosphorylated at Ser(118) status has the potential to provide a more precise biomarker of responsiveness to endocrine therapy in conjunction with estrogen receptor alpha and progesterone receptor status.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".