Immunohistochemistry analysis reveals lysyl oxidase-like 3 as a novel prognostic marker for primary melanoma
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
Lysyl oxidase-like 3 (LOXL3) is an extracellular enzyme involved in the synthesis of collagen and elastin, and it has been reported to promote melanoma cell proliferation and invasion in vitro. However, the expression level of LOXL3 at different stages of melanocytic lesions and the role of LOXL3 in melanoma pathogenesis remain unknown. Immunohistochemical staining of LOXL3 in a tissue microarray of 373 biopsies at different melanocytic stages was conducted. The correlation between LOXL3 expression and patient survival was examined using Kaplan-Meier survival analysis. Univariate and multivariate Cox regression analyses were conducted to study the hazard ratios. The tissue microarray study revealed that stronger expression of LOXL3 protein was found at more advanced melanocytic stages (P < 0.0001; χ2 test). Increased LOXL3 expression was associated with enhanced tumor thickness and mitosis. Survival analysis showed significantly worsened prognosis in primary melanoma patients when the LOXL3 expression level was higher (P = 0.043; log-rank test). Multivariate Cox regression analysis further showed that LOXL3 expression is a prognostic factor for primary melanoma patient survival (P = 0.04). LOXL3 expression is positively correlated with tumor progression and invasion, and its overexpression is associated with worse prognosis of primary melanoma patients. LOXL3 can serve as a prognostic marker to help identify primary melanoma patients at higher risks of death.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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