High expression of mitochondrial intermembrane chaperone TIMM9 represents a negative prognostic marker in gastric cancer
Bibliographic record
Abstract
Background/Purpose Gastric cancer (GC) is one of the most common malignant cancers worldwide. However, little is known about the molecular process underlying this disease and its progression. This study investigated correlations between the expression of a mitochondrial inner membrane protein translocase of inner mitochondrial membrane 9 homolog (TIMM9) and various clinicopathologic parameters as well as patients' survival. Methods Gastric tissue samples were obtained from 140 patients with GC and expression levels of TIMM9 were analyzed through immunohistochemistry. Paired t tests were used to analyze the differences in the expression levels of TIMM9 in both tumor and nontumor tissues for each patient. Two-tailed χ 2 tests were performed to determine whether the differences in TIMM9 expression and clinicopathologic parameters were significant. Time-to-event endpoints for clinicopathologic parameters were plotted using the Kaplan–Meier method, and statistical significance was determined using univariate log-rank tests. Cox proportional hazard model was used for multivariate analysis to determine the independence of prognostic effects of TIMM9 expression. Results A borderline association was found between overexpression of TIMM9 and vascular invasion ( p = 0.0887). Patients with high expression levels of TIMM9 achieved a significantly lower disease-free survival rate compared with those with low expression levels ( p = 0.005). Multivariate Cox regression analysis showed that overexpression of TIMM9 was an independent prognostic marker for GC ( p = 0.011). Conclusion Overexpression of TIMM9 can be used as a marker to predict the outcome of patients with GC.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".