Rare driver mutations in head and neck squamous cell carcinomas converge on NOTCH signaling
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
Cancer drivers converge on NOTCH Cancer genome–sequencing projects have emphasized the handful of genes mutated at high frequency in patients. Less attention has been directed to the hundreds of genes mutated in only a few patients—the so-called “long tail” mutations. Although rare, these mutations may nonetheless inform patient care. Loganathan et al. developed a reverse genetic CRISPR screen that allowed them to functionally assess in mice nearly 500 long tail gene mutations that occur in human head and neck squamous cell carcinoma (HNSCC). They identified 15 tumor-suppressor genes with activities that converged on the NOTCH signaling pathway. Given that NOTCH itself is mutated at high frequency in HNSCC, these results suggest that the growth of these tumors is largely driven by NOTCH inactivation. Science , this issue p. 1264
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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