Serum Vascular Endothelial Growth Factor (VEGF) Levels Correlate with Tumor VEGF and p53 Overexpression in Endocrine Positive Primary Breast Cancer
Bibliographic record
Abstract
Vascular endothelial growth factor (VEGF) is a potent stimulator of angiogenesis, associated with unfavorable clinical characteristics in breast cancer. The aim of this study was to evaluate different angiogenic markers in endocrine-positive breast cancer patients. The authors analyzed serum and tumor samples from 71 patients with endocrine-positive operable primary breast cancer to determine the expression and the possible relationship between circulating serum VEGF levels, tumor VEGF expression, microvessel density (MVD), and other immunohistochemical parameters. Basal VEGF serum levels were significantly higher in breast cancer patients than in healthy controls. A significant correlation was observed between basal VEGF serum concentrations, microvessel density (p = 0.01) and p53 status (p = 0.004). Intratumoral VEGF expression was significantly associated with neoplastic embolization (p = 0.041) and circulating VEGF levels (p = 0.047). The results confirm that in primary endocrine-positive breast cancer serum VEGF levels are elevated and show a positive relationship with tumor VEGF and p53 overexpression.
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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 | 0.000 |
| 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) | 0.001 | 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".