ET-46 * ONCOLYTIC VIRAL THERAPY FOR MALIGNANT GLIOMAS USING MYXOMA VIRUS DELETED FOR ANTI-APOPTOTIC M11L GENE
Bibliographic record
Abstract
Brain Tumour Initiating Cells (BTICs) are stem-like cells hypothesized to mediate recurrence in high-grade gliomas. Myxoma virus (MyxV) is a promising oncolytic virus, which is highly effective in conventional long term resistant glioma cell lines and less effective in BTICs. We hypothesized that one possible factor limiting efficacy in BTICs is that cell death following infection with MyxV is inhibited by virally encoded anti-apoptotic proteins, such as the Bcl-2 structural homologue, M011L. To test this we evaluated and compared the efficacy of wtMYXV versus the viral construct MyxV-M011L-KO (in which the anti-apoptotic protein M11L has been deleted) in BTICs. We found that WT-MyxV does not induce significant level of apoptosis in infected BTICs, but that MyxV-M011L-KO induces dramatically more apoptosisas shown by caspase activation, PARP cleavage, and Cytochrome C release from the mitochondria M11L from the WT-MyxV localized to the mitochondrial membrane and prevented the association of Bax with the mitochondrial membrane. Finally, silencing of Bax using specific siRNAs significantly blocked the induction of apoptosis and cell death that occurs after infection with mutant MyxV-M011L-KO virus. Therefore MyxV-M011L-KO, which is has the anti-apoptotic virally derived gene M11L, dramatically improves the oncolytic efficacy in BTICs and this is dependent on the presence of the pro-apoptotic host protein, Bax. This is the first demonstration, that the MyxV mutant, genetically modified to promote apoptosis in tumor initiating cells, is significantly more efficacious than the wildtype virus. Strategies, such as this one, that promotes apoptosis in tumor initiating cells might be particularly effective.
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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 | 0.000 | 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".