Role of the Cyclin-Dependent Kinase Inhibitor p27<sup>Kip1</sup>in Androgen-Induced Inhibition of CAMA-1 Breast Cancer Cell Proliferation
Bibliographic record
Abstract
Androgens are known to inhibit the growth of breast cancer cells, but the molecular mechanism of androgen-induced growth inhibition remains unknown. To address this question, we examined functional and quantitative alterations in cell cycle regulators in the E-responsive CAMA-1 breast cancer cell line. We report here that the androgen 5 alpha-dihydrotestosterone inhibits the proliferation of CAMA-1 breast cancer cells. This inhibition of cell proliferation was dose dependent, and maximal inhibition of E2-stimulated proliferation was observed at the concentration of 1 nM 5 alpha-dihydrotestosterone. 5 alpha-Dihydrotestosterone-induced growth arrest was accompanied by an increase in the proportion of cells in the G(1) phase of the cell cycle. Compared with control cells, 5 alpha-dihydrotestosterone-treated cells showed an increase in the relative proportion of hypophosphorylated retinoblastoma protein consistent with G(1) arrest. In CAMA-1 cells, 5 alpha-dihydrotestosterone caused an accumulation of the cyclin-dependent kinase inhibitor p27(Kip1). Cyclin E-cyclin-dependent kinase-2-associated kinase activity was strongly inhibited in 5 alpha-dihydrotestosterone-treated cells, and immunoprecipitation-Western blot analysis showed an increase in the amount of p27(Kip1) associated with cyclin E-cyclin-dependent kinase-2 complexes. These results suggest that inhibition of breast cancer cell growth by androgens may be mediated at least in part by inactivation of the cyclin E-cyclin-dependent kinase-2 complexes by p27(Kip1).
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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) | 0.000 | 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".