Genetic factors correlated with survival in colorectal cancer: validation studies in patients from Newfoundland and Labrador
Bibliographic record
Abstract
Colorectal cancer is a significant health concern in the province of Newfoundland and Labrador (NL) which has the highest age-standardized incidence and mortality rates for colorectal cancer in Canada. Several studies have attempted to identify inherited genetic variants which can serve as independent prognostic markers in colorectal cancer patients. We have conducted such a study in two colorectal cancer patient cohorts (discovery and validation sets) from Newfoundland. We investigated 27 genetic polymorphisms in the discovery cohort and attempted to replicate the positive correlations in the validation cohort. Our results showed that the MTHFR _Glu429Ala polymorphism was associated with worse overall survival in two cohorts albeit with an apparently different pattern of inheritance. An association of the heterozygote genotype of this polymorphism with shorter overall survival was also detected in male patients from both cohorts. Another polymorphism, ERCC5_His46His, was also found to be associated with disease-free survival in these cohorts. Further studies on these polymorphisms may facilitate understanding of the mechanisms behind prognostic differences among colorectal cancer patients and aid in better prediction of clinical outcomes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".