Prognostic Value and Clinicopathological Differences of Bmi1 in Gastric Cancer: A Meta-analysis
Bibliographic record
Abstract
B cell-specific Moloney murine leukemia virus integration site 1 (Bmi1) was identified as a biomarker of cancer stem cells, and over-expression of Bmi1 might enhance tumor aggressive clinical behavior in gastric cancer (GC). Our aim of this meta-analysis is to investigate the prognostic role and clinicopathological differences of Bmi1 in GC patients. A total of 6 studies up to September 2014 were included in our study. Our results showed that there were no relationships between Bmi1 expression and the gender (pooled OR=0.87, 95%CI=0.66-1.14, P=0.319, fixed effect), age (pooled OR=1.22, 95%CI=0.95-1.59, P=0.126, fixed effect) and differentiation (pooled OR=1.15, 95%CI=0.71-1.86, P=0.582, random effect) in GC patients. But high Bmi1 expression was significantly correlated with the clinical stage (pooled OR=3.04, 95%CI=1.31-7.07, P=0.010, random effect), tumor size (pooled OR=2.01, 95%CI=1.14-3.55, P=0.016, random effect), T classification (pooled OR=2.79, 95%CI=1.94-4.03, P<0.001, fixed effect), lymph node metastasis (pooled OR=2.24, 95%CI=1.47-3.39, P<0.001, random effect) and distant metastasis (pooled OR=5.05, 95%CI=1.29-19.70, P=0.020, random effect), and led to a poor overall survival (OS) in GC patients (RR=3.38, 95%CI=2.43-4.69, P<0.001, fixed effect). These findings suggested that Bmi1 might serve as a novel and effective prognostic biomarker in GC, and could be a promising emerging molecular target in GC therapy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".