SMARCE1 suppresses EGFR expression and controls responses to MET and ALK inhibitors in lung cancer
Bibliographic record
Abstract
Recurrent inactivating mutations in components of SWI/SNF chromatin-remodeling complexes have been identified across cancer types, supporting their roles as tumor suppressors in modulating oncogenic signaling pathways. We report here that SMARCE1 loss induces EGFR expression and confers resistance to MET and ALK inhibitors in non-small cell lung cancers (NSCLCs). We found that SMARCE1 binds to regulatory regions of the EGFR locus and suppresses EGFR transcription in part through regulating expression of Polycomb Repressive Complex component CBX2. Addition of the EGFR inhibitor gefitinib restores the sensitivity of SMARCE1-knockdown cells to MET and ALK inhibitors in NSCLCs. Our findings link SMARCE1 to EGFR oncogenic signaling and suggest targeted treatment options for SMARCE1-deficient tumors.
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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) | 0.001 | 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 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".