Phospho-serine-118 estrogen receptor-alpha detection in human breast tumors in vivo
Bibliographic record
Abstract
Purpose: To determine whether estrogen receptor (ER)- specifically phosphorylated at Ser 118 is detectable in multiple human breast cancer biopsy samples.To gain insight into possible roles for P-Ser 118 -ER in human breast cancer in vivo.Experimental Design: A specific antibody for P-Ser 118 -ER was validated for immunohistochemistry (IHC), and Western blot analysis confirmed IHC results.IHC was used to determine the relationship of P-Ser 118 -ER to known prognostic markers and active mitogen-activated protein kinase (MAPK; erk1/2) expression.Results: P-Ser 118 -ER was significantly correlated with the expression of total ER, determined by ligand binding assay (r 0.442, P 0.002), but not with progesterone receptor expression or nodal status.P-Ser 118 -ER was inversely correlated with histological grade (r 0.34, P 0.023), reflecting a similar trend for total ER (r 0.287, P 0.056).Categorical contingency analysis confirmed that P-Ser 118 -ER was more frequently associated with lower than higher grade breast tumors (P 0.038).In addition P-Ser 118 -ER was significantly associated with detection of active MAPK (Erk1/2; Spearman r 0.649, P < 0.0001; Fisher's exact test, P 0.0004).Conclusions: P-Ser 118 -ER detection is associated with a more differentiated phenotype and other markers of good prognosis in human breast cancer.P-Ser 118 -ER is corre-lated with active MAPK in human breast tumor biopsies, suggesting the possibility that active MAPK either directly or indirectly has a role in the regulation of P-Ser 118 -ER expression in vivo.These data provide evidence for a role of P-Ser 118 -ER in human breast cancer in vivo.
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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) | 0.005 | 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".