Oncolytic measles virus encoding interleukin-12 mediates potent antitumor effects through T cell activation
Bibliographic record
Abstract
Combination of oncolytic virotherapy with immunomodulators is emerging as a promising therapeutic strategy for numerous tumor entities. In this study, we developed measles Schwarz vaccine strain vectors encoding immunomodulators to support different phases in the establishment of antitumor immune responses. Therapeutic efficacy of the novel vectors was evaluated in the immunocompetent MC38cea tumor model. We identified vectors encoding an IL-12 fusion protein (MeVac FmIL-12) and an antibody against PD-L1 (MeVac anti-PD-L1), respectively, as the most effective. Treatment of established tumors with MeVac FmIL-12 achieved 90% complete remissions. Profiling of the tumor immune microenvironment revealed activation of a type 1 T helper cell-directed response, with MeVac FmIL-12 ensuring potent early natural killer and effector T cell activation as well as upregulation of the effector cytokines IFN-γ and TNF-α. CD8+ T cells were found to be essential for the therapeutic efficacy of MeVac FmIL-12. Results of this study present MeVac FmIL-12 as a novel approach for targeted IL-12 delivery and elucidate mechanisms of successful immunovirotherapy.
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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".