Epigenetic modifiers enhance vesicular Stomatitis virus-mediated oncolysis in the refractory PC3 cell line
Bibliographic record
Abstract

 
 
 Introduction: Vesicular stomatitis Virus (VsV) is an oncolytic virus that preferentially replicates in and kills cancerous cells. however, many cancer cell lines are resistant to VsV treatment alone. previous work has shown that treating cancerous cells with histone deacetylase inhibitors makes them more susceptible to VsV infection and oncolysis. We hypothesize that treatment with a histone deacetylase inhibitor, suberoylanilide hydroxamic acid (saha or Voronistat), and a methyltransferase inhibitor, 5-aza-2'-deoxycytidine (5-aza or Decitabine), will result in an increase in VsV replication and virus-induced oncolysis in vitro. Methods: pC3 prostate cancer cells were treated with 1 μm saha, 1 μm 5-aza or both. of these samples, half were infected with oncolytic Vesicular stomatitis Virus expressing green fluorescent protein VsV aV1 – gFp at a multiplicity of infection of 1 × 10-2, 24 hours after treatment. Cells were then collected and subjected to either FaCs analysis or protein extraction at 12, 24, 48 and 72 hours post-infection. We confirmed increases in cell death by western blotting for cleavage of poly a Riboprotein, an important downstream effector of the Caspase pathway, as well as Caspases 8 and 9, hallmarks for the extrinsic and intrinsic apoptotic pathways respectively. results: Treatment with saha, 5-aza or a combination of both resulted in increases in VsV replication and cell death. These observations were consistent over four time points spanning 72 hours. discussion: Treatment with histone deacetylase inhibitor/methyltransferase inhibitor combination increases VsV replication and cell death in tumour cell lines resistant to VsV infection. In combination with previous work, this data suggests that modulation of the antiviral response and apoptotic pathways increases susceptibility to VsV.
 
 
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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 | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".