Synergistic repression of estrogen receptor transcriptional activity by FHL2 and Smad4 in breast cancer cells
Bibliographic record
Abstract
Four and a half LIM domain protein 2 (FHL2) has been implicated in development and progression of various types of cancers. However, little is known about the biological function of FHL2 in breast cancer. Here, we report that FHL2 physically and functionally interacts with estrogen receptors (ERα and ERβ), important regulators of breast cancer development and progression. The N-terminal half LIM domain or a single LIM domain of FHL2 was sufficient for its interaction with ERα and ERβ. Overexpression of FHL2 reduced ER transcriptional activity in breast cancer cells, whereas reduction of endogenous FHL2 with FHL2 small interfering RNA enhanced ER transactivation. Moreover, FHL2 cooperates with Smad4, a previously known corepressor for ERα, to inhibit ERα transcriptional activity as well as expression of the estrogen-responsive gene cathepsin D. The synergistic inhibition of ERα transcriptional activity by FHL2 and Smad4 may be due to enhanced interaction of Smad4 with ERα by FHL2, because FHL2(1-156), the FHL2 deletion mutant, which showed no synergistic effect, failed to increase such interaction. These data suggested the cooperative regulation of estrogen signaling by FHL2 and Smad4 in breast cancer cells, and might provide a new regulation mechanism underlying breast cancer development and progression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".