Docosahexaenoic Acid Monoglyceride Increases Carboplatin Activity in Lung Cancer Models by Targeting EGFR
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
BACKGROUND/AIM: Omega 3 polyunsaturated fatty acids (PUFAs) have been shown to inhibit the induction and progression of many tumor types. The aim of this study was to determine the anticancer effect of docosahexaenoic acid monoglyceride (MAG-DHA) alone and in combination with the chemotherapeutic agent carboplatin (CBT) on lung cancer models. MATERIALS AND METHODS: Adenocarcinoma cell lines A549 and H1299 were used to evaluate the effect of combined MAG-DHA and CBT treatments both in vitro and in vivo in xenograft models. RESULTS: MAG-DHA+CBT treatment decreased cell proliferation and invasion abilities of A549 and H1299 cells. Furthermore, MAG-DHA+CBT treatment resulted in a decreased activation of epithelial growth factor receptor (EGFR) and its downstream extracellular signal-regulated kinase (ERK) in cell lysates. In A549 and H1299 xenograft mouse models, MAG-DHA+CBT treatment reduced tumor growth. CONCLUSION: Combined MAG-DHA and CBT treatment inhibited tumor growth by suppressing EGFR and ERK signaling pathways in lung carcinoma 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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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