Molecular Predictors of Lymph Node Metastasis in Colon Cancer: Increased Risk With Decreased Thymidylate Synthase Expression
Bibliographic record
Abstract
TNM staging in colon cancer has several limitations. Prognostic molecular markers are now being developed to address these limitations. The aim of this study was to identify a combination of genes and markers whose expression is predictive of nodal status and outcome in colon cancer. The expression of 12 genetic markers were examined in 66 node-positive and 65 node-negative T3 colon cancers. Gene expression was quantified using real-time polymerase chain reaction. Microsatellite instability status was available through the registry. Association with lymph node status was examined using univariate and multivariate logistic regression. Thymidylate synthase expression was statistically significantly associated with lymph node status (odds ratio 0.36; 95% confidence interval: 0.16-0.81). Microsatellite instability and the other genes were not associated with nodal status. Multiple logistic regression did not identify a significant multivariate predictive model. Decreased expression of thymidylate synthase is associated with a higher risk of lymph node metastasis in patients with T3 colon cancers. Microsatellite instability and the expression of other genes are not predictive of nodal status in this population. Thymidylate synthase gene expression may help identify patients at greater risk for progression of disease.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".