Psoriasin (S100A7) expression is associated with poor outcome in estrogen receptor-negative invasive breast cancer.
Bibliographic record
Abstract
PURPOSE: Psoriasin (S100A7) is highly expressed in preinvasive ductal carcinoma in situ of the breast and persistent expression occurs in some invasive carcinomas. This study explores the clinical significance of psoriasin in relation to patient survival in invasive breast cancer. EXPERIMENTAL DESIGN: We examined psoriasin expression by immunohistochemistry in a cohort of 122 estrogen receptor-negative invasive ductal carcinomas. RESULTS: Psoriasin expression was observed in 64 of 122 cases (52%) but was not correlated with other prognostic factors (including progesterone receptor, stage, size, grade, and nodal status) within this cohort. However, in univariate analysis, psoriasin expression (nuclear and cytoplasmic) was associated with a shorter time to progression (P < 0.04) and poor survival (P < 0.03). In multivariate analysis, cytoplasmic psoriasin also emerged as independent indicator of time to progression (hazard ratio, 1.86; 95% confidence interval, 1.02-3.39; P = 0.044) and survival (hazard ratio, 2.12; 95% confidence interval, 1.06-4.23; P = 0.033). CONCLUSIONS: These results suggest that psoriasin expression may be associated with a worse prognosis in estrogen receptor-negative invasive ductal carcinomas and raise the possibility that psoriasin expression may also be an indicator of risk of progression in ductal carcinoma in situ.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".