Comparing Tyrosine Phosphorylation Changes after Erlotinib Treatment betweem Drug Sensitive and Drug Resistant Non-small Cell Lung Cancer Lines by Mass Spectrometry
Bibliographic record
Abstract
Non-Small-Cell-Lung Cancer (NSCLC) patients with mutations in EGFR have greater response rates and survival when treated with the tyrosine kinase inhibitor erlotinib. To elucidate how erlotinib inhibits EGFR, this study included: 1) inhibiting an EGFR mutant cell line to reveal EGFR regulated phosphotyrosine (pY) sites; 2) comparing erlotinib sensitive and insensitive cell lines to reveal functionally important pY sites; 3) revealing novel pY sites. Observations were collected using the LTQ-Orbitrap mass spectrometer. This study identified five new EGFR regulated pY sites and five pY sites that correlated with erlotinib sensitivity; the majority of them are related to cell-cell interactions. By comparing all observed pY sites to the Phosphosite and PhosphoELM database, our results included 67 unregistered sites. This study has identified novel biomarkers and potential therapeutic targets, many of which were associated with cell migration and adhesion function. Further functional validation is necessary.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".