Vascular Endothelial Growth Factor Polymorphisms and Esophageal Cancer Prognosis
Bibliographic record
Abstract
PURPOSE: Vascular endothelial growth factor (VEGF) promotes angiogenesis and vascular permeability. The VEGF gene is polymorphic. We investigated the prognostic significance of three VEGF single nucleotide polymorphisms (SNP) in esophageal cancer. EXPERIMENTAL DESIGN: Three hundred sixty-one patients were genotyped for three VEGF SNPs (-460T/C, 405G/C, and 936C/T) using DNA extracted from prospectively collected blood samples. The association of each individual SNP, and haplotypes of the three SNPs, on overall survival (OS) was investigated. RESULTS: The variant allele of 936C/T was associated with improved OS compared with the wild-type genotype (log-rank P < 0.001). This association remained significant for OS after adjustments for age, gender, performance status, and disease stage [VEGF 936C/T: adjusted hazard ratio (AHR), 0.70; 95% confidence interval (95% CI), 0.49-0.99; P = 0.04; VEGF 936T/T: AHR, 0.11; 95% CI, 0.02-0.82; P = 0.03]. No independent associations were found for VEGF -460T/C and VEGF 405G/C. The CGC haplotype of the three VEGF SNPs (-460T/C, 405G/C, and 936C/T) combined was associated with reduced OS compared with all other patients (CGC/CGC: AHR, 1.51; 95% CI, 1.00-2.30; P = 0.05). CONCLUSIONS: VEGF 936C/T, and a haplotype of 460T/C, 405G/C, and 936C/T combined, has potential prognostic significance in esophageal cancer.
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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 | 0.001 | 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".