Extracellular vesicle secretion of miR‐142‐3p from lung adenocarcinoma cells induces tumor promoting changes in the stroma through cell‐cell communication
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
Extracellular vesicles (EVs) are mediators of communication between cancer cells and the surrounding tumor microenvironment. EV content is able to influence key tumorigenic changes including invasion, metastasis, and inducing pro-tumor changes in the stroma. MiR-142-3p is a known tumor suppressor in LAC and was recently shown to be enriched within LAC EVs, indicating its potential as a key signaling miRNA. Our research demonstrates the role EV associated miR-142-3p plays when transferred from LAC cells to both endothelial and fibroblast cells. We demonstrate that transfer of miR-142-3p in LAC EVs to endothelial cells promotes angiogenesis through inhibition of TGFβR1. Additionally, we show EV associated miR-142-3p promotes the cancer-associated fibroblast phenotype in lung fibroblast cells which we show is independent of TGFβ signaling. These findings suggest that miR-142-3p within LAC EVs can be transferred from LAC cells to both endothelial and fibroblast cells to promote tumor associated changes.
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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 | 0.001 | 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 | 0.001 | 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