Recombinant protein rMBP-NAP restricts tumor progression by triggering antitumor immunity in mouse metastatic lung cancer
Bibliographic record
Abstract
Recombinant Helicobacter pylori neutrophil-activating protein fused with maltose-binding protein (rMBP-NAP), a potential TLR2 ligand, was reported to possess immunomodulatory effects on in situ tumors in our previous study. In the present work, we attempt to elucidate the effect of rMBP-NAP at the local immune modulation in B16-F10-induced metastatic lung cancer. Our results demonstrated that growth of B16-F10 melanoma metastases in the lung was significantly arrested after rMBP-NAP treatment, along with marked reduction in metastatic lung nodules and significant increase in survival. The treatment induced both local and systemic immune responses, which were associated with higher influx of CD4+/CD8+ T cells and drove toward Th1-like and cytotoxic immune environment. Moreover, rMBP-NAP also showed significant anti-angiogenic activity by reducing vascularization in lung tumor sections. rMBP-NAP could induce antitumor immunity through activating Th1 cells and producing pro-inflammatory cytokines, which are responsible for the effective cytotoxic immune response against cancer progression. Our findings indicate that rMBP-NAP might be a novel antitumor therapeutic strategy.
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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".