Prognostic role of plasma vascular endothelial growth factor in patients with hepatocellular carcinoma undergoing liver transplantation
Bibliographic record
Abstract
Vascular endothelial growth factor (VEGF) is pivotal in the development of hepatocellular carcinoma (HCC). Studies have demonstrated the prognostic value of circulating VEGF levels in patients undergoing liver resection or locoregional therapy (LRT) for HCC. We investigated the significance of preoperative plasma VEGF levels in patients with HCC undergoing liver transplantation (LT) at a Western transplant center. Pre-LT plasma VEGF levels were measured with an enzyme-linked immunoassay for 164 patients with HCC undergoing LT. The preoperative plasma VEGF level was correlated with clinicopathological variables and overall and recurrence-free post-LT survival. A higher pre-LT plasma VEGF level was significantly associated with pre-LT LRT (P = 0.01), multiple tumors (P = 0.02), a total tumor diameter ≥ 5 cm (P = 0.01), bilobar tumor distribution (P = 0.03), tumor vascular invasion (VI; P < 0.001), and HCC beyond the Milan criteria (P < 0.001). Patients with a plasma VEGF level > 44 pg/mL had significantly worse overall and disease-free survival than those with VEGF levels ≤ 44 pg/mL (P = 0.04 and P = 0.02, respectively). In a multivariate analysis, a plasma VEGF level > 44 pg/mL was independently associated with tumor VI (P < 0.001) and recurrence-free survival (hazard ratio = 2.12, 95% confidence interval = 1.08-4.14, P = 0.03). In conclusion, in patients with chronic end-stage liver disease and HCC, a pre-LT plasma VEGF level > 44 pg/mL may be a predictor of tumor VI and recurrence-free post-LT survival.
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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 | 0.000 |
| 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 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".