Reovirus oncolysis: a brief insight on molecular mechanism and immunological aspect
Bibliographic record
Abstract
Abstract : Reovirus (respiratory enteric orphan virus), a naturally occurring benign human pathogen, has an inherent ability to target transformed and cancerous cells and cause their lysis, while leaving non-transformed cells relatively unaffected. The efficiency of this innate oncolytic activity of reovirus correlates with expression of the ras oncogene. Cells expressing activated Ras and the related Ras/RalGEF/p38 pathway are more permissive to the reovirus infection than that of untransformed counterparts. Ras-transformation orchestrates selective oncolysis of cancerous cells by mediating efficient virus uncoating as well as by enhancing infectivity and subsequent apoptosis-dependent release of nascent virus particles. Different human and murine cell lines derived from naturally occurring tumors also display similar activation of the ras pathway, and thus present selective susceptibility to reovirus oncolysis under in vitro as well as in vivo conditions. This ability of reovirus to selectively target a wide variety of tumors offers a novel anti-cancer therapeutic option. However, the efficiency of reovirus virotherapy in immunocompetent hosts is compromised due to the presence of anti-viral innate and adaptive immune responses. Hence, the success of this highly promising reovirus oncolytic therapy will likely be enhanced by modulating host immunity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".