Histone H2A-mediated transient cytokine gene delivery induces efficient antitumor responses in murine neuroblastoma
Bibliographic record
Abstract
A major goal of cancer immunotherapy is the induction of a cell-mediated antitumor response in poorly immunogenic malignancies. We tested the hypothesis that this can be achieved by cytokine gene therapy with a novel histone H2A-based transient transfection procedure. This was tested by using cytokine genes encoding for IL-2 and a single chain IL-12 (scIL-12) fusion protein in a recently developed murine neuroblastoma model. Here, we demonstrate that cytokine gene transfer of IL-2 and scIL-12 with histone H2A results in the induction of an antitumor immune response that is superior in some respects to gene transfer with Superfect, a commercially available activated dendrimer commonly used to effect transfection with plasmids. Three lines of evidence support this contention. First, histone H2A-mediated transfection of IL-2 induces a natural killer cell-induced rejection of primary tumors in contrast to Superfect, which produces only a partial reduction in primary tumor growth. Second, the induction of a T cell-mediated protective tumor immunity following gene transfer of scIL-12 is more efficient with the histone H2A-mediated gene transfer because rejection of a lethal wild-type tumor cell challenge is accompanied by the greatest degree of MHC class I-restricted tumor cell killing in vitro. Third, histone H2A-mediated scIL-12 gene therapy induces the greatest release of mIFN-gamma from splenocytes of vaccinated animals in contrast to Superfect and other controls.
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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) | 0.000 | 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".