Estradiol increases extracellular levels of vascular endothelial growth factor <i>in vivo</i> in murine mammary cancer
Bibliographic record
Abstract
Angiogenesis is essential for tumor growth and metastasis and an important prognostic factor in breast cancer. VEGF, a key factor for angiogenesis, has been correlated with tumor vessel density in breast cancer. Estrogen, another crucial factor in breast cancer, stimulates VEGF; and an ERE in the VEGF gene has been defined. VEGF is bioactive in the extracellular fluid, where it becomes available to endothelial cells. Whether E(2) affects VEGF levels in the extracellular fluid is not known. We show, using intratumoral microdialysis in vivo, that E(2) treatment increased tumor extracellular levels of VEGF in an estrogen-dependent breast cancer model. Moreover, extracellular levels of VEGF in the tumor showed a strong correlation with total tumor VEGF, contrary to plasma levels of VEGF. Ninety-three percent of measured VEGF in the extracellular fluid in the tumor was tumor-derived, while only 45% of VEGF in circulating plasma originated from the tumor. We conclude that E(2) increases extracellular VEGF and that microdialysis is a sensitive method for measurement of local VEGF production in vivo. Our results have potential application to the assessment of tumor characteristics in vivo in human tumors for individualized cancer therapy.
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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 | 0.000 |
| 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) | 0.001 | 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".