A tumor model of ascites fluid production: Intrahepatic injection of the rabbit with rabbit VX2 tumor cells
Bibliographic record
Abstract
1049 />From our previous work, approximately 15% of New Zealand White rabbits (NZW; weight range: 2.5 - 3.5 kg), that were injected intravenously with VX2 tumor cells and yielded lung tumors at 28d, accumulated an effusion in the interpleural space. This effusion contained the products and catabolic fragments of hemostasis (e.g. angiostatin, fibrin degradation products (FDPs)) that, when isolated and purified, contributed towards the net anti-angiogenic activity of VX2 effusions as shown by a chick embryo chorioallantoic membrane (CAM) assay. To study the dynamics of tumor effusion formation in vivo, a tumor model has been developed in which an increased proportion of tumor-bearing rabbits accumulate an effusion. Anesthetized NZW rabbits were subjected to a small incision into the abdominal cavity below the xiphoid cartilage. Live tumor cells, from a freshly-harvested lung or liver tumor from a donor rabbit, were injected (2-3 x 105/0.5ml saline) directly into the liver at two sites and the wound closed. After 28d, the rabbit was anesthetized; the abdominal cavity contained an extensive tumor growth associated with the liver, the omentum and the site of incision. Ascites fluid was present in 88% of female rabbits (32 ± 25 ml/rabbit; n = 8) and in 36% of male rabbits (18 ± 45 ml; n = 11). Analyses of total protein content, fibrinolytic factors and FDPs, and anti-angiogenic properties (by the CAM method) indicated that ascites fluid and pleural effusion from VX2-tumor rabbits were similar in many respects. The volume of recovered ascites fluid varied positively with the tumor burden of the liver, whereas the concentration of live VX2 cells/ml of ascites fluid was independent of tumor burden. This rabbit VX2-tumor liver model will be used to study the dynamics of ascites fluid production in the tumor-burdened rabbit, and to investigate more about the changing contents of malignant effusions as tumor growth progresses in vivo.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".