The loss of endothelin-2 exhibits an anticancer effect in A549 human lung adenocarcinoma cell line
Bibliographic record
Abstract
Lung cancer is the leading cause of cancer-related deaths worldwide, and adenocarcinoma is the most common subtype of lung cancer. Endothelin-2 (ET-2) is expressed in the epithelium of alveoli, and its expression is increased in cancer. However, the role of ET-2 in lung adenocarcinoma remains unclear. This study aimed to investigate the pathophysiological functions of ET-2 in A549 human lung adenocarcinoma cells. We analyzed the expression of ET-2 mRNA in lung adenocarcinoma tissues compared with that in nontumor lung tissues using public online databases. The function of ET-2 in A549 cells was investigated using siRNA. ET-2 mRNA level was upregulated in lung adenocarcinoma tissues, and high ET-2 level was associated with poor overall survival in patients with lung adenocarcinoma. ET-2 silencing reduced the proliferation, migration, and invasion, and enhanced apoptosis in A549 cells. Mechanistically, ET-2 silencing reduced the expression levels of X-linked inhibitor of apoptosis and survivin, which are members of the inhibitor apoptosis protein family. In addition, silencing ET-2 inhibited epithelial-mesenchymal transition, which halted migration. Therefore, the specific targeting of ET-2 may be a potential treatment strategy for lung adenocarcinoma.
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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 | 0.001 | 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".