Interferon-gamma increases IL-6 production in human glioblastoma cell lines.
Bibliographic record
Abstract
BACKGROUND: Various immunotherapeutical approaches are presently evaluated for their efficacy to eradicate glioma cells. Complicating the concepts, these tumors secrete cytokines which modulate the immune response. MATERIALS & METHODS: We analyzed the influence of interferon gamma (IFN-gamma) on the cytokine production and IFN-gamma receptor expression in T98G and U87-MG human glioma cells. RESULTS: The IFN-gamma receptors were own-regulated after IFN-gamma treatment. Secretion of interleukin-6 (IL-6) protein was elevated by factors of 6.4 in T98G cells and 5.2 in U87-MG. Other cytokines were increased as well, but less constantly: IL-8, and VEGF were elevated significantly only in T98G, but not in U87-MG. Increases of IL-1 beta, IL-1 alpha and TGF beta-2 were only detectable at the mRNA level. TNF was not detectable in any of the cell lines, and TGF-beta, alpha FGF and HG were not influenced by IFN-gamma. CONCLUSION: IL-6 produced by glioma cells in response to IFN-gamma might support immune eradication of glioma cells.
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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) | 0.002 | 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".