EGF‐Induced Connexin43 Negatively Regulates Cell Proliferation in Human Ovarian Cancer
Bibliographic record
Abstract
Connexin43 (Cx43) has been shown to regulate cell proliferation and its downregulation is correlated with poor prognosis and survival in several types of human cancer. Cx43 expression levels are frequently downregulated in human ovarian cancer, suggesting a potential role for Cx43 in regulating the progression of this disease. Epidermal growth factor (EGF) is a well-characterized hormone that stimulates ovarian cancer cell proliferation. Although EGF is able to regulate Cx43 expression in other cell types, it is unclear whether EGF can regulate Cx43 expression in ovarian cancer cells. Additionally, it remains unknown whether Cx43 is involved in EGF-stimulated ovarian cancer cell proliferation. In the present study, we demonstrate that treatment with EGF upregulates Cx43 expression in two ovarian cancer cell lines, SKOV3 and OVCAR4. Although treatment with EGF activates both ERK1/2 and Akt signaling pathways, pharmacological inhibition and siRNA-mediated knockdown suggest that only the activation of Akt1 is required for EGF-induced Cx43 upregulation. Functionally, Cx43 knockdown enhanced basal and EGF-induced cell proliferation, whereas the proliferative effects of EGF were reduced by Cx43 overexpression. Co-treatment with the gap junction inhibitor carbenoxolone did not alter the suppressive effects of Cx43 overexpression on EGF-induced cell proliferation, suggesting a gap junction-independent mechanism. This study reveals an important role for Cx43 as a negative regulator of EGF-induced human ovarian cancer cell proliferation.
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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".