Investigation of Antiangiogenic Tumor Therapy Potential of Microencapsulated HEK293 VEGF<sub>165</sub>b Producing Cells
Bibliographic record
Abstract
To investigate the antiangiogenic potential of encapsulated VEGF₁₆₅b producing HEK293 cells, Human Embryonic Kidney 293 (HEK293) cells were stably transfected to produce VEGF₁₆₅b. Then they were encapsulated in alginate-polylysine-alginate (APA) microcapsules. VEGF₁₆₅b productivity and viability of encapsulated cells were analyzed and compared with the non-encapsulated cells. Results showed that encapsulated cells proliferated and remained viable within the microcapsules throughout the 28-day period of the experiment. The quantity of VEGF₁₆₅b increased from 6.5 ± 1.2 μg/ml at day 13 to 13 ± 0.96 μg/ml at day 16. Then it gradually dropped to 5 ± 1.2 μg/ml for the last 3 days period as measured at day 28. Production of VEGF₁₆₅b from encapsulated and non-encapsulated cells was similar. The effect of VEGF₁₆₅b harvested from encapsulated cells on Human Umbilical Vein Endothelial cells (HUVECs) proliferation were also examined.The same inhibitory effects on HUVECs proliferation was seen when the cells were incubated with a mixture of VEGF₁₆₅b and a 2-fold VEGF₁₆₅b or with VEGF₁₆₅b and 2-fold excess VEGF₁₆₅b released from encapsulated cells. Subcutaneous injection of microencapsulated VEGF₁₆₅b producing cells in tumor site of nude mice resulted in the reduction of the number of vessels around the tumors.
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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 | 0.000 |
| 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 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".