Overexpression of Cyclooxygenase-2 in Noncancerous Liver Tissue Increases the Postoperative Recurrence of Hepatocellular Carcinoma in Patients with Hepatitis B Virus-Related Cirrhosis
Bibliographic record
Abstract
BACKGROUND: Many previous studies have evaluated the histopathological features of tumours as risk factors for postoperative recurrence in hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC). However, there have been few large studies investigating the relationship between cyclooxygenase-2 (COX-2) expression in noncancerous regions of the liver and postoperative recurrence in the remnant liver, especially in HBV-related HCC. OBJECTIVE: To evaluate the significance of COX-2 expression levels in noncancerous liver regions as a prognostic indicator of HCC in patients with HBV-related cirrhosis. METHODS: A total of 124 patients who underwent curative resection for HCC were reviewed retrospectively. Immunohistochemistry was used to evaluate the expression of COX-2 in noncancerous liver tissue. Clinicopathological variables were compared between patients with high COX-2 expression (n=58 [COX-2-positive group]) and patients with low COX-2 expression (n=66; [COX-2-negative group]). Univariate and multivariate analyses were performed to identify factors that affected disease recurrence. RESULTS: There was a significant correlation between COX-2 expression and alanine aminotransferase levels and vascular invasion. The recurrence-free survival rates in the COX-2-positive group were significantly lower than the rates in the COX-2-negative group. On multivariate analysis, the overexpression of COX-2 in noncancerous liver regions was found to be an unfavourable prognostic indicator for the recurrence of HCC. CONCLUSIONS: The results of the current study suggest that overexpression of COX-2 in noncancerous liver regions is an independent and significant indicator predictive of early recurrence of HCC in patients with HBV-related cirrhosis.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".