Reduced expression of the small leucine-rich proteoglycans, lumican, and decorin is associated with poor outcome in node-negative invasive breast cancer.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To examine the prognostic significance of lumican and decorin, two abundant small leucine-rich proteoglycans in breast tissue stroma. EXPERIMENTAL DESIGN: Lumican and decorin expression was examined in a cohort of 140 invasive breast carcinomas by Western blot analysis. All cases were axillary lymph node-negative and treated by adjuvant endocrine therapy. RESULTS: Lumican and decorin expression was highly correlated (r = 0.45, P < 0.0001), but although low levels of lumican were associated with large tumor size (P = 0.0496), negative estrogen receptor (P = 0.0024) and progesterone receptor status (P = 0.0116), and increased host inflammatory response (P = 0.0077), low decorin levels were associated only with large tumor size (P = 0.0496). However, using univariate analysis, low levels of lumican and decorin were both associated with a shorter time to progression (P = 0.0013 and 0.0262) and poorer survival (P = 0.001 and 0.0076). In multivariate analysis using the Cox regression model, low decorin was also shown to be an independent predictive factor for recurrence (hazard ratio 2.25: 95% confidence interval 1-5, P = 0.047) and survival (hazard ratio 3.39: 95% confidence interval 1.2-9.6, P = 0.021). CONCLUSIONS: These results suggest that low levels of small leucine-rich proteoglycans in breast tumors may be associated with a worse prognosis in lymph node-negative invasive breast carcinomas and warrant further study with larger patient cohorts.
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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 | 0.001 |
| 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