Bibliographic record
Abstract
Individuals carrying germline mutations in the CDKN2A gene have an increased risk of developing cutaneous melanoma. The CDKN2A gene encodes the cell cycle inhibitor p16INK4A, which binds and inhibits the cell cycle kinases CDK4 and CDK6. Recently it was reported that CDK4 also phosphorylates SMAD3, implying that p16 INK4A may also regulate SMAD3 signalling. Since p16INK4A inhibits CDK4, I hypothesized that p16INK4A should prevent CDK4 from phosphorylating SMAD3 and that melanoma-associated p16INK4A mutants lose this function. Using a series of reporter-based assays and quantitative PCR, I have demonstrated that p16INK4A can affect one SMAD3 signalling target, c-myc. In addition, several melanoma-associated p16 INK4A mutants do not affect c-myc mRNA expression in a melanoma cell line. These results are important because they may link melanoma to SMAD signalling---a well-established cancer-related pathway. Moreover, this work may also lead to alternate drug targets relevant for treatment of melanoma and other p16INK4A relevant malignancies.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".