WNT8B as an Independent Prognostic Marker for Nasopharyngeal Carcinoma
Bibliographic record
Abstract
BACKGROUND: Members of the Wnt signaling pathway have been shown to play a role in nasopharyngeal carcinoma (NPC) progression. AIM: The purpose of this study was to investigate WNT8B protein expression in NPC patients using tissue microarray (TMA) analysis and to evaluate its correlation with patient survival and clinical parameters. METHODS: A total of 82 NPC cases, together with six normal nasopharyngeal tissue samples, were targeted to construct the TMA blocks. The WNT8B protein expression was evaluated by immunohistochemistry and its correlation to the clinicopathological features was investigated. RESULTS: Sixty-two of 82 (75.6%) cases exhibited high WNT8B protein expression while 20/82 (24.4%) cases appeared to have low WNT8B expression. The univariate analysis revealed that systemic metastasis was associated with patient 5-year survival. The multivariate Cox proportional hazard regression analysis showed that WNT8B expression and systemic metastasis were significantly associated with the survival of NPC patients. Furthermore, there was no correlation found between the WNT8B protein expression and other clinicopathological parameters. CONCLUSION: Our results suggest that the expression of WNT8B is associated with NPC patients' survival and could serve as an independent prognostic factor for NPC patients.
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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 | 0.001 | 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) | 0.002 | 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".