Abstract 2591: Differential oncolysis by vesicular stomatitis virus in prostate cancers arising in transgenic mice
Bibliographic record
Abstract
Abstract Prostate cancer (PCa) is the most prevalent malignancy and the second leading cause of cancer related mortality in North American men. Survival prospects for patients with locally advanced or metastatic prostate cancer are low and the side effects associated with current therapies seriously compromise quality of life in PCa patients. Oncolytic viral therapy provides an opportunity to efficiently target and kill primary and metastatic cancer cells while sparing normal cells. Vesicular Stomatitis Virus (VSV) is an oncolytic virus which can infect and kill cells that have defects in their cellular anti-viral immunity such as the interferon (IFN) response pathway. In this study VSV (AV3) strain with enhanced IFN sensitivity was injected intra-prostatically into two different transgenic mouse models (prostate specific PTEN null mice and transgenic adenocarcinoma mice [TRAMP]) and monitored for tissue bioluminescence over 96 h. While the virus readily dispersed throughout the body of each group after only 3 h, it persisted >72 h in prostates of tumor bearing mice compared to low levels ∼48 h in control mice. Plaque assay provided a similar pattern, with much higher concentrations of replicating virus in tumor bearing transgenic mice than in control. Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) analysis of paraffin embedded tissues demonstrated that VSV(AV3) is capable of selectively infecting and killing malignant prostate cells while sparing normal cells, specifically at the 48h time point. This cell death is due to disrupted IFN response in the PTEN null prostates. Moreover, > 60 % of TRAMP mice treated with VSV(AV3) did not present any metastasis while approximately 70% of TRAMP mice treated with inactivated virus presented metastatic lesions either in lymph nodes or lungs. In summary, our data demonstrates that VSV(AV3) may be used as a potential oncolytic viral therapy to target prostate cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 2591.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".