NF‐κB and estrogen receptor α interactions: Differential function in estrogen receptor‐negative and ‐positive hormone‐independent breast cancer cells
Why this work is in the frame
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Bibliographic record
Abstract
Estrogen receptor (ER)-positive breast cancer cells have low levels of constitutive NF-kappaB activity while ER negative (-) cells and hormone-independent cells have relatively high constitutive levels of NF-kappaB activity. In this study, we have examined the aspects of mutual repression between the ERalpha and NF-kappaB proteins in ER+ and ER- hormone-independent cells. Ectopic expression of the ERalpha reduced cell numbers in ER+ and ER- breast cancer cell lines while NF-kappaB-binding activity and the expression of several NF-kappaB-regulated proteins were reduced in ER- cells. ER overexpression in ER+/E2-independent LCC1 cells only weakly inhibited the predominant p50 NF-kappaB. GST-ERalpha fusion protein pull downs and in vivo co-immunoprecipitations of NF-kappaB:ERalpha complexes showed that the ERalpha interacts with p50 and p65 in vitro and in vivo. Inhibition of NF-kappaB increased the expression of diverse E2-regulated proteins. p50 differentially associated directly with the ER:ERE complex in LCC1 and MCF-7 cells by supershift analysis while p65 antibody reduced ERalpha:ERE complexes in the absence of a supershift. ChIP analysis demonstrated that NF-kappaB proteins are present on an endogenous ERE. Together these results demonstrate that the ER and NF-kappaB undergo mutual repression, which may explain, in part, why expression of the ERalpha in ER- cells does not confer growth signaling. Secondly, the acquisition of E2-independence in ER+ cells is associated with predominantly p50:p50 NF-kappaB, which may reflect alterations in the ER in these cells. Since the p50 homodimer is less sensitive to the presence of the ER, this may allow for the activation of both pathways in the same cell.
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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 it