Expression of cytokines in the vitreous of a uveal melanoma animal model
Bibliographic record
Abstract
Proc Amer Assoc Cancer Res, Volume 46, 2005 6005 Purpose: Cytokines are soluble secreted proteins that play a crucial role in angiogenesis, apoptosis, immune response and cell proliferation and differentiation. Several studies have shown that uveal melanoma (UM) cells express a large number of cytokines that are involved in tumor progression and are considered poor prognostic markers. The purpose of this study is to evaluate the simultaneous expression of various cytokines in the vitreous of an albino rabbit model of UM. Methods: Vitreous samples from an immunosuppressed rabbit model of UM were taken at the time of animal sacrifice throughout the twelve-week model. Ten vitreous samples were used in the cytokine assay (RayBiotech, Georgia, USA). The samples were diluted by 50% with 1x Blocking Buffer and the assays were run as per manufacturers specifications. The membranes were then exposed to Kodak x-omat AR film for 20 to 40 seconds to detect chemiluminescence. The relative intensity of the signal was subsequently rated. Results: Expression of six cytokines, including macrophage migration-inhibitory factor (MIF), tissue inhibitor of metalloproteinase-1 (TIMP-1), epidermal growth factor (EGF), vascular endothelial growth factor (VEGF), interferon-gamma (IFN- γ) and macrophage chemotactic protein-1 (MCP-1), was detected in the vitreous samples. Of the six cytokines detected, MIF, TIMP-1 and EGF were consistently highly expressed in all samples. Of the remaining cytokines, IFN-γ was detected in six samples, VEGF was detected in four samples, and MCP-1 was detected in one sample. Conclusions: Using an animal model of uveal melanoma, this study has identified the expression of various cytokines in the vitreous, an essential component within the ocular microenvironment, which may influence the progression of intra-ocular tumors. Further studies are warranted to investigate the role of these cytokines particularly MIF, TIMP-1 and EGF in UM progression.
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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) | 0.000 | 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 | 0.001 |
| 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".