Decreasing New York esophageal squamous cell carcinoma 1 expression inhibits multiple myeloma growth and osteolytic lesions
Bibliographic record
Abstract
New York esophageal squamous cell carcinoma 1 (NY-ESO-1) is aberrantly expressed in multiple myeloma (MM) patients, however, its role remains largely unknown. The present study aimed to investigate the effect of NY-ESO-1 knockdown on MM impact and provide evidence for targeting treatment of MM. Human MM U266 cells were infected with lentivirus-based small hairpin RNA-targeting NY-ESO-1 (LV-shNY-ESO-1). Cellular proliferation, colony-forming, migration, and invasion assays were employed. The expressions of cell cycle and epithelial-mesenchymal transition (EMT)-related molecules, MM growth, and mouse osteolytic lesions were evaluated. The results showed that the LV-shNY-ESO-1-U266 cells had a lower expression of NY-ESO-1 and a higher expressions of p21 and E-cadherin, and a weaker abilities of colony formation, drug-resistant to adriamycin, migration, and invasion than those of the control cells. Importantly, the knockdown of NY-ESO-1 inhibited significantly the U266 cell-induced MM growth and osteolytic lesions along with increasing the expressions of E-cadherin, p21, and p53 in mice challenged with LV-shNY-ESO-1-U266 cells. Collectively, our findings demonstrate that knockdown of NY-ESO-1 suppressed the U266 cell-induced MM growth and osteolytic lesions by inhibition of the MMs cell cycle and EMT. The NY-ESO-1 knockdown may be considered for future clinical trials in MM.
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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) | 0.001 | 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) | 0.000 | 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".