Human Matrix Metalloproteinase-8 Gene Delivery Increases the Oncolytic Activity of a Replicating Adenovirus
Bibliographic record
Abstract
The success of replicating adenoviruses for cancer therapy is limited by inefficient virus delivery and poor distribution within the tumor mass. Stromal matrix within the tumor may hinder the free cell-to-cell spread of the virus. In this study, in vitro cell culture experiments showed that collagen I blocked the passage of an adenoviral vector through a membrane. On the basis of reports of the effective collagen I-degrading activity of matrix metalloproteinase-8 (MMP-8), we constructed an adenovirus to express the MMP-8 transgene (AdMMP8). A549 cells infected in vitro with AdMMP8 did not show altered growth but were able to modify a fibrillar collagen substrate to allow viral diffusion. Further, AdMMP8 did not affect replication of the wild-type virus (Adwt300). Established human A549 lung cancer and BxPC-3 pancreatic cancer xenograft tumors that were injected with Adwt300 together with the non-replicating AdMMP8 virus showed significantly reduced growth compared with control tumors. Histochemical analysis showed reduced amounts of collagen within necrotic areas of MMP-8-injected tumors compared with controls. These results demonstrate that intra-tumoral expression of MMP-8 is a possible strategy for improving viral spread and improving the oncolytic activity of replicating adenovirus.
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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) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".