A Dendritic Cell Population Generated by a Fusion of GM-CSF and IL-21 Induces Tumor-Antigen–Specific Immunity
Bibliographic record
Abstract
We have previously shown that the fusion of GM-CSF and IL-21 (GIFT-21) possesses a potent immune stimulatory effect on myeloid cells. In this study, we define the effect of GIFT-21 on naive murine monocytes (GIFT-21 dendritic cells [DCs]), which express increased levels of Gr-1, CD45R, MHC class I, CD80, CD86, and CXCR4 and suppress CD11c and MHC class II. Compared with conventional dendritic cells, GIFT-21 DCs produced substantially more CCL2, IL-6, TNF-α, and IFN-α and induced significantly greater production of IFN-γ by CD8(+) T cells in MHC class I-restricted Ag presentation assays. B16 melanoma and D2F2 Neu breast cancer growth was inhibited in mice treated with Ag-naive GIFT-21 DCs. This effect was lost in CD8(-/-) and CCR2(-/-) mice and when mice were treated with β(2)-microglobulin-deficient GIFT-21 DCs, indicating that GIFT-21 DCs migrated to and sampled from the tumors to present tumor Ags to CCL2 recruited CD8(+) T cells via MHC class I. We propose that autologous GIFT-21 DCs may serve as a cell therapy platform for the treatment of cancer.
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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 | 0.001 |
| 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".