A dominant-negative effect drives selection of <i>TP53</i> missense mutations in myeloid malignancies
Why this work is in the frame
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Bibliographic record
Abstract
p53—still hazy after all these years? The gene encoding the p53 tumor suppressor protein is the most frequently mutated gene in human cancer. Yet decades after the gene's discovery, the biology of cancer-associated missense mutations in p53 is still being debated. Previous studies have suggested that missense mutations confer tumor-promoting functions to p53. Boettcher et al. conducted a detailed analysis of p53 missense mutations in human leukemia, drawing on methodologies including genome editing, a p53 saturation mutagenesis screen, mouse models, and clinical data (see the Perspective by Lane). They found no evidence that p53 missense mutations confer an oncogenic gain of function. Rather, the mutations exerted a dominant-negative effect that reduced the tumor suppressor activity of wild-type p53. Science , this issue p. 599 ; see also p. 539
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| 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