Oncolytic Vaccinia virus safely and effectively treats skin tumors in mouse models of xeroderma pigmentosum
Bibliographic record
Abstract
Xeroderma pigmentosum (XP) is an orphan autosomal recessive disorder of DNA repair. When exposed to genotoxic stress, XP patients have reduced capacity to remove bulky adducts by nucleotide excision repair and are thus greatly predisposed to cancer. Unfortunately, given the nature of their underlying genetic defect, tumor-bearing XP patients cannot be treated with conventional DNA damaging therapies. Engineered strains of the poxvirus Vaccinia have been shown to cure cancer in numerous preclinical models, and based on promising Phase I/II clinical trials have recently been approved for late phase evaluation in humans. As poxviruses are nongenotoxic, we investigated whether clinical-candidate strains of Vaccinia can safely and effectively treat cancers arising from XP. In vitro, Vaccinia virus was highly cytotoxic against tumor-derived cells from XP patients, on average 10- to 100-fold more so than on nontumor derived control cells from similar patients. In vivo, local or systemic administration of Vaccinia virus led to durable tumor resolution in both xenograft and genetic models of XP. Importantly, Vaccinia virus was well tolerated in the genetic models, which are each null for a critical component of the DNA repair process. Taken together, our data suggest that oncolytic Vaccinia virus may be a safe and effective therapy for cancers arising from XP, and raise the possibility of similar therapeutic potential against tumors that arise in patients with other DNA repair disorders.
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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 | 0.001 | 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".