64. Generation of Tumor Cells Resistant to Oncolysis Is Mediated Through Virus Induced APOBEC Expression
Bibliographic record
Abstract
In both pre-clinical, and clinical models, we have observed that treatment of primary tumors with oncolytic viruses can lead to very significant tumor regressions, often with apparent disappearance of the tumor. However, in many cases, tumor subsequently recurs, often extremely aggressively. We have been able to mimic this effect in vitro by growing several different types of tumor cell lines in the presence of different oncolytic viruses at low m.o.i. over several weeks. Under such conditions, we consistently observe the emergence of cells which survive over long periods of time in culture, despite the demonstrable presence of ongoing viral replication. We identified APOBEC3 from a screen of genes which are induced in tumor cells undergoing continual exposure to either reovirus or Vesicular Stomatitis Virus (VSV). In this respect, overexpression of APOBEC3B, a cytidine deaminase, has been identified in human tumors associated with mutations that may drive tumorigenesis. Therefore, we tested the hypothesis that, upon infection with oncolytic viruses, APOBEC3 may help drive tumor cell mutation leading to protection from viral cytotoxicity. Consistent with this, both mRNA and protein levels of APOBEC3 were rapidly induced within 24-72 hours of low M.O.I infection by reovirus, or VSV, of B16 melanoma, GL261 glioma and TC2 prostate tumor murine cell lines. Similar low level infection of human tumor cell lines was associated with rapid induction of the human APOBEC3B mRNA. Interestingly, engineered over-expression of APOBEC3B in tumor lines significantly enhanced the ability of these cells to resist killing by either VSV or reovirus. This effect was inhibited by blockade of PKC signaling upon viral infection but was enhanced by the presence of type I interferons. Correspondingly, inhibition of APOBEC3 using shRNA decreased the frequency of emergence of VSV-resistant tumor populations. These data suggest that infection of tumor cells by oncolytic viruses at low M.O.I (as is likely to be the case during clinical treatments) leads to the induction of cellular proteins, which enhance the ability of resistance to oncolysis to develop. Deep sequencing studies are currently underway to determine the genetic changes in both virus, and target tumor cells, which are associated with APOBEC3 over-expression during chronic exposure to oncolytic virus infection. Finally, data will be presented on how these findings allow the construction of improved viruses for cancer therapy by targeting APOBEC3 induction to improve primary killing and prevent emergence of treatment resistant populations.
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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".