Endometrial Cancer Risk Is Associated with Variants of the Mismatch Repair Genes <i>MLH1</i> and <i>MSH2</i>
Bibliographic record
Abstract
Women with germ-line mutations in the mismatch repair genes (responsible for hereditary nonpolyposis colorectal cancer) face an increased risk of colonic and endometrial cancer. However, these germ-line mutations are rare and are responsible for fewer than 1% of endometrial cancers. Therefore, we examined whether or not common variants of the hereditary nonpolyposis colorectal cancer-associated genes might also be associated with an increased risk of endometrial cancer. Three single-nucleotide polymorphisms were selected in the MLH1 and MSH2 mismatch repair genes. All the various 672 women with endometrial cancer and 880 controls were genotyped. Each of these three single-nucleotide polymorphisms was associated with an increased risk of endometrial cancer. Carriers of the MLH1 nt-93 A allele were at a 1.5-fold increased risk of developing endometrial cancer compared with controls [95% confidence interval (95% CI), 1.2-2.0; P = 0.001]. The risk was higher for homozygote carriers [odds ratio (OR), 1.9; 95% CI, 1.2-3.2; P = 0.009]. For carriers of the MSH2 rs2303428 C allele, the OR was 1.4 (95% CI, 1.0-1.9; P = 0.05), and for carriers of the MSH2 rs2059520 G allele, the OR was 1.3 (95% CI, 1.0-1.7; P = 0.03). More than 9% of endometrial cancer cases carried a variant allele in both MLH1 and MSH2. For these women, the risk of endometrial cancer was particularly high (OR, 2.1; 95% CI, 1.2-3.6; P = 0.005). For patients younger than 50 years at diagnosis who carried both variants, the risk was even higher (OR, 3.4; 95% CI, 1.7-6.6; P = 0.0005). In summary, two common variant alleles of the MLH1 and MSH2 genes make a substantial contribution to endometrial cancer incidence in Ontario.
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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) | 0.000 | 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) | 0.002 | 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".