<i>Caspase Recruitment Domain-Containing Protein 15</i> Mutations in Patients with Colorectal Cancer
Bibliographic record
Abstract
The caspase recruitment domain-containing protein 15 (CARD15) plays a crucial role in mediating the innate immune response. Mutations within this protein have been shown to be independent risk factors for the development of Crohn's disease in Caucasians. As Crohn's disease patients are at increased risk of developing sporadic colorectal cancer, it is conceivable that genetic variability within CARD15 may also play a role in determining susceptibility to this gastrointestinal malignancy in individuals without Crohn's disease. This hypothesis is supported by the findings of two case-control studies that found the frequencies of CARD15 mutations were significantly elevated in Polish and Greek colorectal cancer patients. Given the results of these previous studies, we examined whether the high incidence of sporadic colorectal cancer observed in New Zealand Caucasians was due to mutations within CARD15. To answer this question, we genotyped 133 colorectal cancer patients and 201 Caucasian controls for R702W, G908R, 1007fs, and P268S. Chi(2) Testing found that the combined frequency of R702W, G908R, and 1007fs was significantly elevated in colorectal cancer patients compared with controls (P = 0.001; odds ratio, 2.8; 95% confidence interval, 1.5-5.4), but no association was detected between tumor behavior or age of disease onset and CARD15 mutations in our colorectal cancer cohort. This study is the first to explore the link between CARD15 mutations and colorectal cancer in New Zealand Caucasians. Our results strongly suggest that CARD15 influences susceptibility to colorectal cancer, but we have found no evidence to indicate that CARD15 mutations predict the clinicopathologic characteristics of this disease.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".