Inhibition of glioma using a novel non-neurotoxic vesicular stomatitis virus
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to demonstrate the in vivo safety and antitumor effect of a novel recombinant vesicular stomatitis virus (VSV): G protein less (GLESS)-fusion-associated small transmembrane (FAST)-VSV. METHODS: Viral infection efficiency and cell proliferation were detected using an inverted fluorescence microscope and alarmaBlue assay, respectively. To evaluate the safety of the virus, different doses of GLESS-FAST-VSV and a positive control virus (VSV∆M51) were injected into normal F344 rats and C57BL/6 mice, and each animal's weight, survival time, and pathological changes were examined on the following day. To evaluate the efficacy of the virus, RG2 and GL261 cells were used to construct rat and mouse glioma models, respectively, via a stereotactic method. After multiple intratumoral injections of the virus, tumor growth (size) and the survival time of the animals were observed. RESULTS: In vitro experiments showed that GLESS-FAST-VSV could infect and kill brain tumor cells and had less toxic effects on normal cells. After direct injection of GLESS-FAST-VSV into the animal brains, all animals tolerated the virus well, and no animal death, encephalitis, or ventriculitis was observed. In contrast, all animals that received brain injections of VSV∆M51 in the brain died. Moreover, multiple injections of GLESS-FAST-VSV in brain tumors significantly prolonged the survival of normal-immunity animals harboring brain tumors. CONCLUSIONS: GLESS-FAST-VSV exhibited little neurotoxicity and could be injected directly into the tumor to effectively inhibit tumor growth and prolong the survival of normal-immunity animals, laying a theoretical foundation for the early application of such viruses in clinical trials.
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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 | 0.000 | 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 | 0.000 |
| 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".