Correlation between Trop2 and amphiregulin coexpression and overall survival in gastric cancer
Bibliographic record
Abstract
Abstract Gastric cancer ( GC ) is a multistep and multistage disease and the majority of GC cells could overexpressed one or more oncogenes. Trop2 and amphiregulin ( AREG ) are both overexpressed in various epithelial cell cancers and have the role in the increases tumor cells division and metastasis. However, little is known about the function and correlation of two oncogenes coexpressed in GC . The expression level of these two genes in 791 cases of GC tissues were tested, the correlations between two genes expression and clinical pathological characteristics and overall survival in GC patients through immunohistochemistry ( IHC ) were analyzed. This study also explored the mRNA expression level of two genes in 26 cases of freshly GC tissues by qRT ‐ PCR . The results indicated that Trop2+/ AREG + coexpression was higher in GC tissues than in adjacent tissues. Trop2+/ AREG + protein coexpression were associated with Tumor Node Metastasis ( TNM ) stage ( χ 2 = 50.345, P < 0.001), tumor size ( χ 2 = 40.349, P < 0.001), lymph node metastases ( χ 2 = 26.481, P < 0.001), and distant metastases ( χ 2 = 8.387, P = 0.039). GC patients with Trop2+ and AREG + protein coexpression had poor overall survival rates ( HR = 3.682, 95% CI = 2.038–6.654, P < 0.001). The expression level of Trop2/ AREG were positively correlated ( r 0.254 and P < 0.001). The result of the mRNA expression was similar to that of the protein expression. Overall, Trop2 and AREG could be seen as prognostic cobiomarker in GC and combined detection of Trop2 and AREG could be viewed as helpful in predicting the prognosis of the GC patients.
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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) | 0.000 | 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 | 0.000 |
| 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".