P53 point mutations in initial superficial bladder cancer occur only in tumors from current or recent cigarette smokers
Bibliographic record
Abstract
Sequencing of p53 exons 5-8 was carried out on 51 initial superficial bladder tumors selected on the basis of high grade and/or p53 overexpression (immunohistochemistry without antigen retrieval). Fourteen point mutations in 13 tumors and one 21 bp deletion in another tumor were identified. In addition, a germ-line mutation corresponding to a previously described polymorphism was detected in exon 6, in two tumors. Mostly G-->A transitions (10) were found. Only three occurred at CpG sites, suggesting a major role for exogenous carcinogens in bladder tumorigenesis. Immunostaining for p53 and MDM2, using antigen retrieval, was carried out on the same tumors. A correlation was found between the percentage of p53-positive cells and the presence of p53 mutations (P = 0.005). No correlation was found between overexpression of p53 and MDM2 in this selected cohort of mostly high grade tumors. The presence of p53 mutations was also analyzed as a function of the smoking habits of the patients. A significant association was found between the presence of p53 point mutations and the number of years of smoking (P = 0.043). All patients with tumors carrying missense or nonsense p53 mutations had smoked for >/=30 years and if former smokers, had stopped for </=5 years. However, no correlation was found between the presence of p53 point mutations and the number of cigarettes smoked. The deletion mutation was the only one present in a tumor from a non-smoker. The data suggest that duration of exposure to carcinogens is the most critical factor in p53 mutagenesis in bladder cancer.
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How this classification was reachedexpand
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) | 0.011 | 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 teacher head, 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".