Estrogens desensitize MCF-7 breast cancer cells to apelin-induced autophagy and enhanced growth under estrogen starvation: a possible implication in endocrine resistance
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Apelin-13 is an adipokine known for its growth-inducing effects on human breast cancer cells in an estrogen-containing environment. However, the response of these cells to apelin-13 in the absence of estrogen and its association with the expression of the apelin receptor (APLNR) has not yet been investigated. In the present study, we show that the breast cancer cell line MCF-7 expresses the APLNR as shown by immunofluorescence and flow cytometry, under conditions of ER starvation and that culture of these cells in the presence of apelin-13 results in an increased growth rate and a diminished autophagy flux. Moreover, the binding of APLNR by apelin-13 resulted in an increased growth rate (assayed by AlamarBlue) and a diminished autophagy flux (monitored by Lysotracker Green). The latter observations were reversed in the presence of exogenous estrogen. Finally, apelin-13 induces the deactivation of the apoptotic kinase AMPK. Taken together, our results show that APLNR signaling in breast cancer cells is functional and prevents tumor growth under conditions of estrogen starvation. They furthermore suggest an alternative mechanism of estrogen-independent tumor growth thereby positioning the APLNR-AMPK axis as a novel pathway and a possible therapeutic target in endocrine resistance of breast cancer cells.
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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 | 0.001 |
| 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