From ONYX-015 to Armed Vaccinia Viruses: The Education and Evolution of Oncolytic Virus Development
Bibliographic record
Abstract
The current field of oncolytic virus development has evolved from, and been educated by, the route adenoviruses have taken to Phase III development in the United States (Onyx-015) and commercial approval in China (H101). Clinical development of these E1B-deleted viruses showed that a staged approach, from single-agent intratumoral injections to trials testing intravenous delivery and trials in combination with approved therapies is judicious and can be successful. Additional oncolytic products are in development, including andenovirus plus other promising platforms such as herpes simplex virus, Newcastle disease virus, reovirus and vaccinia virus. These second-generation products seek to expand clinical utility beyond the modest local efficacy of Onyx-015/H101 to potent systemic delivery and efficacy. Improvement of efficacy in metastatic cancer will depend not only on enhanced killing of tumor cells, but also on achieving intravenous delivery and better intratumoral dissemination. Many viruses inherently replicate preferentially in tumors, and engineering can increase this therapeutic index by targeting genetic features of cancers. However, both viruses and cancer cells have complex biologies. Therefore, research may reveal that there is not a single predictive factor for tumor specificity. For example, the Onyx-015 mechanism-of-selectivity has proved to be complex. Further research regarding pathway dependence for other oncolytic viruses may also reveal multiple influences on their tumor tropism.
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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 | 0.003 | 0.002 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".