Role of metastasis-associated protein 1 in prognosis of patients with digestive tract cancers: A meta-analysis
Bibliographic record
Abstract
OBJECTIVES: Metastasis-associated protein 1 (MTA1) is a transcriptional regulator and significantly associated with prognosis of patients with cancer. However, its role as a potential prognostic marker in digestive tract cancer (DTC) is controversial. In this study, a meta-analysis was conducted to evaluate the MTA1 expression as a predictor of clinicopathology and survival of patients with DTC. METHODS: We searched PubMed, Ovid, Web of Science and Cochrane databases using multiple search strategies for eligible studies. STATA 11.0 software was used to pool the data and analyze the association, odds ratios (ORs) and 95% confidence intervals (CIs) were used to measure the strength of the association. Furthermore, the Newcastle-Ottawa scale was used to evaluate the quality of eligible studies. RESULTS: MTA1 overexpression was strongly associated with depth of invasion (OR = 1.88, 95%CI: 1.05-3.37, P = 0.03), lymph node metastasis (OR = 2.30, 95%CI: 1.76-3.01, P<0.001), vascular invasion (OR = 2.02, 95%CI: 1.40-2.91, P<0.001) and TNM stage (OR = 2.78, 95%CI: 1.63-4.74, P<0.001), and was related to 1- (RR = 1.84, 95%CI: 1.18-2.89, P = 0.008), 3- (RR = 1.74, 95%CI: 1.32-2.30, P<0.001) and 5-year (RR = 1.64, 95%CI: 1.18-2.27, P = 0.003) OS. Further, MTA1 was associated with 1- (RR = 4.16, 95%CI: 1.35-12.81, P = 0.01), 3- (RR = 1.90, 95%CI: 1.02-3.53, P = 0.04) and 5- (RR = 2.17, 95%CI: 1.41-3.32, P<0.001) year DFS. In subgroup analyses based on study quality and tumor type, MTA1 overexpression was obviously related to clinical parameters, such as lymph node metastasis and TNM stage, and was also associated with prognosis of patients with gastrointestinal or esophageal cancer. CONCLUSIONS: MTA1 expression is strongly correlated with metastasis-related variables, and represents a promising prognostic factor in DTC.
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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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.052 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".