Clinical phase I intratumoral administration of two recombinant ALVAC canarypox viruses expressing human granulocyte-macrophage colony-stimulating factor or interleukin-2: the transgene determines the composition of the inflammatory infiltrate
Bibliographic record
Abstract
Immunotherapy employs cytokines for modifying local inflammatory reactions. Granulocyte-macrophage colony-stimulating factor (GM-CSF) has been shown to activate dendritic cells, macrophages, and granulocytes leading to clinical trials using GM-CSF-based cancer vaccine approaches. Interleukin-2 (IL-2) is an important T cell stimulatory cytokine approved as exogenous antitumor agent. The ALVAC viral vector system uses a recombinant canarypox virus for local gene expression. We report a phase I clinical trial using intratumoral administration of ALVAC GM-CSF or ALVAC IL-2 in skin metastases of melanoma or leiomyosarcoma. ALVAC GM-CSF and ALVAC IL-2 were injected at 107.12 and 106.92, 50% cell culture infectious dose in eight metastases with acceptable tolerability. Local and systemic inflammatory reactions were observed. The transgene determined the local infiltrate: GM-CSF induced monocyte and macrophage enrichment of the peritumoral inflammatory infiltrate, whereas IL-2 increased local T lymphocytes. Stable disease of injected lesions was seen after ALVAC GM-CSF application, whereas ALVAC IL-2 treatment led to partial regression in three out of eight injected tumors, accompanied by decreased expression of melanocytic antigens. Local GM-CSF expression could be induced. In summary, ALVAC GM-CSF and ALVAC IL-2 injections are safe and can mediate local biologic and immunologic effects.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".