A Combination of Systemic and Intracranial Anti-CD25 Immunotherapy Elicits a Long-Time Survival in Murine Model of Glioma
Bibliographic record
Abstract
Abrogating the suppression of glioma-infiltrating Tregs in the periphery and the central nervous system is essential to successful glioma rejection. We sought to improve the immune response in glioma-bearing mice, by investigating new strategies using the anti-CD25 immunotherapy. We found a complete long-term survival of glioma-bearing mice treated with a combination of systemic and intracranial anti-CD25 mAb immunotherapy as compared to systemic administration of anti-CD25 mAb. In addition, the group of mice that had been cured by the combined anti-CD25 mAb showed long-term survival without late tumor relapse when challenged with the GL261 glioma. The antitumor immune response was investigated by analysis of antitumor immune response (CTL). Results showed that the use of the combined injections of anti-CD25 mAb induced efficient targeting of Tregs expansion inside and outside of the brain and altered Tregs trafficking in the bone marrow and brain areas where antitumor immunity was primed.
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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 | 0.001 | 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".