Abstract B077: Evaluating oncolytic vaccines targeting mutated epitopes in a murine fibrosarcoma model CMS-5
Bibliographic record
Abstract
Abstract Oncolytic viruses have traditionally been used as stand alone therapy delivered to animals and patients to lytically destroy tumor tissue. However, it has recently become clear that involvement of the immune system is an extremely important aspect of these therapies. To further enhance anti-tumor immune responses we have utilized an oncolytic vaccine approach. This approach involves priming the immune system to a specific tumor associated antigen (TAA) with an Adenovirus and then subsequently delivering an oncolytic Rhabdovirus expressing the same tumor antigen leading to robust anti-tumor immune responses and improved efficacy. For the studies presented herein we have developed oncolytic vaccines targeting mutated epitopes expressed in CMS-5. Immune responses generated towards these epitopes through oncolytic vaccination will be characterized and their ability to control tumor growth will be evaluated. We hypothesize that the foreign nature of these mutated epitopes will allow for the generation of substantial immune responses following oncolytic vaccination in tumor bearing mice. In preliminary studies, oncolytic vaccination has been able to generate robust immune responses leading to as many as 60% of circulating CD8+ T cells responding to a single mutated epitope in tumor free animals. Therapeutic oncolytic vaccination of CMS-5 tumor bearing animals was still able to generate large anti-tumor immune responses, however these responses were cut in half compared to tumor free animals. The resultant anti-tumor immune response was able to significantly control tumor growth, and the magnitude of these responses correlated with survival. Even though there was a delay in tumor growth following therapy, the responses were not durable and all mice ultimately failed the therapy. We are currently engaged in studies to further characterize the immune responses generated and determine what, if any, immunosuppression led to failure of our therapy; even in the presence of anti-tumor immune responses exceeding 20% of peripheral CD8+ T cells. Nanostring analysis of the tumor microenvironment are being conducted focusing on gene signatures for immune cells and inflammation and these data will be confirmed by histology and flow cytometry. These studies will help shed light on potential mechanisms of immune evasion/suppression following oncolytic vaccination and point to potential targets for modulation of the oncolytic vaccine induced immune response. Citation Format: Kyle Stephenson, Matthew Atherton, John Bell, Brian Lichty. Evaluating oncolytic vaccines targeting mutated epitopes in a murine fibrosarcoma model CMS-5. [abstract]. In: Proceedings of the CRI-CIMT-EATI-AACR Inaugural International Cancer Immunotherapy Conference: Translating Science into Survival; September 16-19, 2015; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2016;4(1 Suppl):Abstract nr B077.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".