Bmi-1 Promotes the Chemoresistance, Invasion and Tumorigenesis of Pancreatic Cancer Cells
Bibliographic record
Abstract
BACKGROUND/AIMS: The polycomb protein Bmi-1 plays oncogenic roles in various cancers. Here we aimed to investigate the contribution of Bmi-1 on the malignant behaviors of pancreatic cancer such as chemoresistance, invasion and tumorigenesis. METHODS AND RESULTS: The MTT cell proliferation assay showed that shRNA mediated Bmi-1 knockdown and enhanced the chemosensitivity of pancreatic cancer cells to gemcitabine. The transwell invasion assay showed that Bmi-1 knockdown inhibited the invasion of pancreatic cancer cells in vitro. Notably, the reduced abilities of chemoresistance and invasion were associated with the transition from the mesenchymal phenotype to the epithelial phenotype of pancreatic cancer cells. Moreover, Bmi-1 knockdown led to the inhibition of the PI3K-Akt pathway and disrupted the sphere-forming abilities of pancreatic cancer cells. A nude mouse xenograft experiment demonstrated that pancreatic cancer cells depleted of Bmi-1 showed weak tumorigenicity in vivo. CONCLUSION: Our data suggest that Bmi-1 plays an important role in the progression of pancreatic cancer and represents a novel target for antitumor therapy of 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".