The Combination of <i>p53</i> Mutation and <i>neu/erb</i>B-2 Amplification Is Associated With Poor Survival in Node-Negative Breast Cancer
Bibliographic record
Abstract
PURPOSE: Increases in neu/erbB-2 have been implicated in breast cancer prognosis, but do not predict all recurrences. On the basis of evidence that p53 mutation is involved in the development of human neoplasia, we examined the prognostic value of p53 alterations in combination with neu/erbB-2 amplification. PATIENTS AND METHODS: A consecutive series of women were observed for recurrence and death (median follow-up of 85 months) and tumors from 543 individuals were analyzed for p53 mutation status and neu/erbB-2 amplification. Exons 4 through 10 of the p53 gene were analyzed by single-stranded conformational polymorphism and mutations were confirmed by DNA sequencing. The association of p53 mutation status and neu/erbB-2 amplification with risk of recurrence and death was examined in survival analyses with traditional and histologic markers as prognostic factors. RESULTS: p53 mutations occurred in 24.5% of the axillary node-negative breast carcinomas. Mutations were more frequent in carcinomas with neu/erbB-2 amplification: 38.9% compared with only 20.9% in those without neu/erbB-2 amplification. We found elevated risks of disease recurrence and overall mortality in patients with both p53 mutation and neu/erbB-2 amplification in their tumor compared with patients with neither or only one of the alterations. This increase persisted with adjustment for other prognostic factors (relative risk, 2.32; P =.002 for recurrence; relative risk, 2.22; P =.004 for death). CONCLUSION: Evaluation of tumors for p53 mutations may be beneficial to identify women at higher risk of disease recurrence and death when the tumor has neu/erbB-2 amplification, but in the absence of neu/erbB-2 amplification, the presence of p53 mutation may not provide additional independent prognostic information.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".