Selective Replication of miR-145-regulated Oncolytic Adenovirus in MCF-7 Breast Cancer Cells
Bibliographic record
Abstract
Aim: Selective replication of oncolytic viruses in cancer cells is a challenge in virotherapy. miRNA-145 is downregulated in breast cancer cell lines and cancer tissues. In order to target replication of the oncolytic adenovirus 5 in breast cancer cells, we constructed a miRNA-145-regulated oncolytic adenovirus (AD5-miR-145-5pT) by inserting five copies of the miR-145-5p target sites into the 3′-untranslated region of E1A gene. Materials & methods: The MCF-7 human breast cancer cell line and the normal human mammary epithelial cells (HMEpC) were infected with AD5-miR145-5pT, and then the viral titers were measured 12, 24, 36 and 48 h postinfection using TCID50 assay. Results: Growth kinetic analysis of AD5-miR-145-5pT in MCF-7 cells and HMEpC showed that replication of the engineered adenovirus was inhibited in HMEpC as normal breast cells, whereas the virus efficiently replicated in MCF-7 cells. Infectious titer of AD5-miR-145-5pT at 48 h postinfection in HMEpC was 3.2 log TCID50 lower than that of the AD5-control. Conclusion: These results suggest that AD5-miR-145-5pT may be a feasible approach for the targeting of breast cancer cells and other cancers where the miRNA-145 is downregulated. miR-145-5p can be applied to miR-targeting of other oncolytic viruses toward breast carcinoma cells.
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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 | 0.000 | 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".