Adenoviral therapy is more effective in gemcitabine-resistant pancreatic cancer than in gemcitabine-sensitive cells.
Bibliographic record
Abstract
BACKGROUND: Although gemcitabine is the standard treatment for pancreatic cancer, this particular type of cancer develops rapidly and has intrinsic chemoresistance. Chemoresistance plays a critical role in tumor progression, invasion and migration. Nevertheless, the effect of adenoviral therapy on chemoresistant cancer cells has not been studied. In this study, we compared the efficacy of adenoviral therapy in parental and chemoresistant pancreatic cancer cells. MATERIALS AND METHODS: To establish gemcitabine-resistant cells, pancreatic cancer SUIT2 cells were exposed to increasing concentrations of gemcitabine. Both parental and chemoresistant cells were infected with adenoviruses expressing either green fluorescent protein (Ad-GFP) or the hepatocyte growth factor antagonist, NK4 (Ad-NK4). To investigate the transduction efficacy, GFP expression and NK4 concentrations were measured and an invasion assay was used to investigate the efficacy of the adenoviral therapy. RESULTS: The 50% inhibitory concentration of gemcitabine was <10 nM in the parental SUIT-2 cells, while it was >1 μM in gemcitabine-resistant cells. A large number of gemcitabine-resistant cells were GFP-positive compared with only a small number of parental cells (p<0.05). The NK4 expression level was significantly higher in gemcitabine-resistant cells than in parental cells (p<0.05). The supernatant from Ad-NK4-infected gemcitabine-resistant cells significantly inhibited the invasion of cancer cells compared with that from Ad-NK4-infected parental cells (p<0.05). CONCLUSION: Both the efficiency of transduction and the therapeutic efficacy of adenoviral therapy were higher in gemcitabine-resistant cells than in parental cells, suggesting that adenoviral gene therapy is more effective in patients with gemcitabine-resistant pancreatic cancer.
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".