Aberrant p53, mdm2, and proliferation differ in glioblastomas from long-term compared with typical survivors.
Bibliographic record
Abstract
PURPOSE: Glioblastoma multiforme (GBM) is a highly lethal neoplasm with a median survival of approximately 1 year. Only 2-5% of patients originally diagnosed with GBM will survive > or = 3 years. Whether tumors from these long-term survivors (LTSs) exhibit molecular genetic differences compared with typical GBM survivors is not known. EXPERIMENTAL DESIGN: Tumors from 41 patients initially diagnosed with GBM and having survival > or = 3 years (LTS) was compared with 48 GBMs from short-term survivors (STSs, survival < or = 1.5 years) for p53 aberrations (expression/mutation), epidermal growth factor receptor overexpression, mdm2 overexpression, and proliferation index. RESULTS: Nuclear p53 expression was significantly more frequent in the LTS group. However, no difference in the rate of p53 mutation was evident. Overexpression of epidermal growth factor receptor was slightly more frequent in the STS patients, but this is not statistically different. mdm2 overexpression was significantly more frequent in the STSs, and this group had a significantly higher median proliferation index. CONCLUSION: Long-term GBM survivors were more likely to have p53-overexpressing tumors, although a difference in p53 mutation rate could not be detected. They were less likely to exhibit mdm2 overexpression and had a lower proliferation rate compared with typical GBM survivors.
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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 | 0.000 |
| 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) | 0.000 | 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 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".