Oncolytic virotherapy stimulates anti‑tumor immune response and demonstrates activity in advanced sarcoma: Report of two cases
Bibliographic record
Abstract
Sarcoma is derived from mesenchymal neoplasms and has numerous subtypes, accounting for 1% of all adult malignancies and 15% of childhood malignancies. The prognosis of metastatic or recurrent sarcoma remains poor. The current study presents two cases of sarcoma enrolled in a phase I dose escalation trial for solid tumor, who had previously failed all standard therapies. These patients were treated with VG161, an immune‑stimulating herpes simplex virus type 1 oncolytic virus with payloads of IL‑12, IL‑15 and IL‑15 receptor α unit, and a programmed cell death 1 (PD‑1)/PD‑1 ligand 1 blocking peptide. Both cases demonstrated stable disease as the best response, accompanied by a noteworthy prolongation of progression‑free survival (11.8 months for chondrosarcoma and 11.9 months for soft tissue sarcoma, respectively) at a dose of 2.5x108 PFU/cycle. In addition, the treatment led to the activation of anti‑cancer immunity, as evident from cytokine, lymphocyte subset and related pathway analyses of peripheral blood and/or tumor biopsy samples. These promising results suggest that VG161 monotherapy holds promise as an effective treatment for sarcoma and warrants further investigation through clinical trials. The two reported patients were part of a phase I clinical trial conducted and registered on the Australian New Zealand Clinical Trials Registry in Australia (registration no. ACTRN12620000244909; registration date, 26 February, 2020).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".