Metallothionein expression in patients with small cell carcinoma of the lung: correlation with other molecular markers and clinical outcome.
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Bibliographic record
Abstract
BACKGROUND: Patients with small cell carcinoma of the lung (SCLC) are known to have an extremely poor prognosis, with a 5-year survivor rate of only 5%. Chemotherapeutic drug resistance is a major obstacle to curative therapy in patients with SCLC. METHODS: The authors evaluated retrospectively the expression of metallothionen (MT), proliferating cell nuclear antigen (PCNA), p53, and retinoblastoma gene product (RBGP) in biopsy samples from 58 patients with SCLC prior to standard chemotherapy. The objective was to study the correlation between MT and other molecular markers in SCLC and correlate these data with the clinical outcome of patients. The authors studied 28 short-term survivors (STS; survival < 24 months) and 30 long-term survivors (LTS; survival > 24 months). RESULTS: In line with expectations, the authors found a strong inverse association between stage and survival. Of 58 patients with SCLC, 26 patients (45%; 17 STS and 9 LTS) showed MT expression, 55 patients (94%; 28 STS and 27 LTS) were positive for PCNA, 28 patients (48%; 16 STS and 12 LTS) were positive for p53, and only 6 patients (10%; 1 STS and 5 LTS) showed positivity for RBGP. On comparing the percent positivity of various markers in the two survivor groups, there was greater frequency of expression of MT, PCNA, and p53 and lower RBGP expression in the STS group compared with the LTS group. However, only the difference in expression of MT between the two survivor groups was statistically significant (Fisher exact test; P = 0.034). Multivariable analysis using a logistic regression model showed a significant association between MT expression and patient survival after adjusting for disease stage (chi-square test; P = 0.022). There was also a statistically significant association between MT expression and p53 expression (chi-square test; P = 0.001). CONCLUSIONS: In this study, of the molecular markers studied, the authors demonstrated that only MT overexpression was independently predictive of short-term survival in patients with SCLC undergoing chemotherapy.
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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 | 0.000 | 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 it