Replicating herpes simplex virus vectors for cancer gene therapy
Bibliographic record
Abstract
Attenuated viral vectors based on herpes simplex virus (HSV) are capable of killing cancer cells directly while sparing normal tissue in animal models of disease. This selective ability is likely due to the evolutionary constraints on the virus to establish lifelong infection in its host without causing destruction of normal tissues. However, extensive experimental animal data show that cancer cells are able to sustain a productive viral infection, which ultimately leads to cell death and tumour regression. Moreover, preliminary results generated in two Phase I clinical studies of modified replicating HSV for the treatment of brain tumours (e.g., glioblastoma multiforme) have been encouraging and suggest that the safety data generated in animals are predictive of human safety. Although much progress has been made in developing oncolytic HSV vectors for clinical use, there is still a long way to go to determine which combinations of virus, surgery, radiation and chemotherapy will provide improved therapy for the control and eradication of a variety of human cancers.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.009 |
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".