Nanoshield Architecture Harnessing Neoantigen-Targeting Peptides Enables Durable Post-surgical Glioma Immunotherapy
Bibliographic record
Abstract
Despite advances in immunotherapy, its efficacy against postoperative glioma recurrence remains limited. Here, we present a neoantigen-targeting peptide nanoshield that synergizes with glioma resection to eliminate residual tumor cells and prevent relapse. The nanoshield architecture is constructed using a multicationic protein (MCP) as the structural scaffold, which is assembled with the mutated isocitrate dehydrogenase 1 (muIDH1) neoantigen. The nanoshield vaccine enables lysosome-escaping muIDH1 delivery and inflammasome-mediated immune activation, generating polyfunctional CD8 + T cells. The results demonstrate superior and durable immunogenicity, with a 3-fold increase in CD8 + T cells and a 6-fold in vivo retention profile compared to free peptide controls, respectively. This leads to significant reduction in tumor size in prophylactic and therapeutic glioma models. Notably, it achieves over 40% improvement in terms of postoperative recurrence-free survival through combining the nanovaccine with antiprogrammed death-1 (aPD-1) therapy. Our immunotherapeutic strategy induces potent antitumor immunity, offering promising clinical potential for postoperative management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".