Bibliographic record
Abstract
Measles virus, the causative agent of measles, possesses a latently oncotropic character. This character enables the virus to infect, syntialize and lyse the cancer cells. The live attenuated strains, specially the Edmonston strain, recognize CD46 as their receptor. CD46 is overexpressed in adenocarcinoma cells. There is a basal level of expression of CD46 in all nucleated cells. The Edmonton vaccine strain has high affinity towards CD46 receptor but the wild stain has strong affinity towards CD150/ SLAM expressed on the lymphoid cells and epithelial nectin-4. This natural property of the live attenuated vaccine strains of Measles virus is exploited for oncolytic virotherapy. In recent years, virus-mediated oncolytic virotherapy has emerged as most reassuring therapy against carcinoma. Without causing any damage to the neighbouring tissues, the oncolytic Measles virus destroys the cancer cells through self-replication. Genetically modified viruses have been generated to broaden the field of oncolytic virotherapy. Previously non-engineered strains of MeV were used for conducting oncolytic virotherapyhighlighting the need for enhancing efficacy and safety. But with the emergence of reverse genetics system, the viral genome can be manipulated to develop genetically modified strains and this has brought an improvement in the therapeutic index. In this review we will discuss how the genetically engineered MeV strains are generated for oncolytic virotherapy as well as the possible outcomes of this modern therapeutic approach. We will also discuss about MeV mediated oncolytic immunotherapy in this review.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".