Abstract A034: VV-iVP55: A Superior Vaccinia Virus Platform with Enhanced Oncolytic Potency and Immunogenicity
Bibliographic record
Abstract
Abstract This research introduces VV-iVP55, a conditionally replicating vaccinia virus platform, as a promising alternative to thymidine kinase (Tk) deleted oncolytic vaccinia viruses. The unique feature of VV-iVP55 is its growth control using doxycycline, a trait not found in conventional Tk-deleted viruses. Laboratory studies revealed that VV-iVP55 achieves higher virus titers and lower cell viability in B16-F10 and MC38 syngeneic models compared to Tk-deleted viruses. Notably, VV-iVP55 demonstrated lower toxicity in immunocompromised mice upon doxycycline withdrawal, unlike Tk-deleted viruses that showed significant toxicity. In vivo efficacy studies further highlighted the superiority of VV-iVP55 over Tk-deleted viruses in CT26 and B16 subcutaneous models, as well as MC38 subcutaneous and intraperitoneal models. An immune microenvironment analysis conducted six days post-intratumoral injection revealed beneficial alterations induced by VV-iVP55, such as increased T and B cell content in the tumor and reduced MDSCs in both the tumor and spleen. Moreover, VV-iVP55 was linked to a significant change in T cell differentiation. Unlike the PBS and Tk viruses, which showed almost complete differentiation towards effector T cells, VV-iVP55 maintained a substantial population of T cells in naive and transition phases, significantly in both CD4 and CD8 T cells. This likely led to lower expression of exhaustion markers PD1, TIM3, TIGIT, and LAG3, suggesting less exhaustion and more potential for immune response. In summary, VV-iVP55 emerges as a powerful alternative to Tk-deleted oncolytic vaccinia viruses, offering enhanced immunogenicity, controlled toxicity, and preserved oncolytic properties. Citation Format: Reza Rezaei, Taha Azad, Julia Petryk, John C. Bell. VV-iVP55: A Superior Vaccinia Virus Platform with Enhanced Oncolytic Potency and Immunogenicity [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor Immunology and Immunotherapy; 2023 Oct 1-4; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Immunol Res 2023;11(12 Suppl):Abstract nr A034.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".