Manganese-enriched nanoboron agent amplifies BNCT efficacy via pyroptosis-mediated immune activation and STING pathway synergy
Bibliographic record
Abstract
Boron Neutron Capture Therapy (BNCT) offers selective tumor cell ablation with minimal damage to normal tissues, but its efficacy is limited by therapy-induced immunosuppression and high intratumoral H 2 O 2 levels, restricting synergy with immunotherapy. Here, we report BSA-BPA-MnO 2 , a tumor microenvironment-responsive, manganese-enriched nanoboron agent designed to overcome these barriers. This nanoplatform combines efficient boron delivery with Mn 2+ -driven Fenton-like catalysis and cGAS-STING pathway activation, amplifying BNCT-induced oxidative stress and inducing immunogenic pyroptosis alongside robust type I interferon signaling. This dual mechanism transforms BNCT from a local therapy into a systemic immune activator, enhancing dendritic cell maturation and CD8 + T cell responses. Additionally, MnO₂ enables MRI-guided BNCT, integrating diagnostics and therapeutics. Notably, the platform achieves potent tumor suppression and systemic immune activation even at subclinical boron levels, offering a promising strategy for next-generation immune-integrated BNCT, particularly against melanoma.
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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) | 0.001 | 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".