Differential sensitivity of A549 non small lung carcinoma cell responses to epidermal growth factor receptor pathway inhibitors
Bibliographic record
Abstract
It has been demonstrated that A549 non-small cell lung cancer (NSCLC) cells are sensitive to epidermal growth factor receptor (EGFR) inhibitors in in vivo xenograft animal models, but are relatively resistant in conventional in vitro monolayer growth assays. Here, we utilized anchorage-independent cell growth/survival assays as well as motility assays and demonstrated that these tests detect the effects of two EGFR inhibitors, the small molecule inhibitor AG1478 and the ligand-blocking antibody 225 mAb, on A549 cells more sensitively than monolayer growth assays. AG1478 was more effective than 225 mAb at inhibiting EGF-stimulated anchorage-independent cell growth, in part due to its pronounced ability to inhibit cell survival, whereas 225 mAb and AG1478 were both able to inhibit cell motility. In order to determine which EGFR signalling pathway components were most strongly associated with these cell responses, we analyzed in parallel the phosphorylation levels of EGFR itself as well as several downstream pathway elements. We found that the limited ability of 225 mAb to inhibit MAPK, PI3K and STAT3 phosphorylation correlated with its inability to promote anchorage independent apoptosis, but did not correlate with its ability to inhibit motility. Based on our results in A549 cells, we propose that EGF stimulates tumour progression of NSCLC largely through effects on anchorage-independent growth and survival, as well as motility.
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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) | 0.001 | 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) | 0.001 | 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".