Oral Presentations : Barrett
Bibliographic record
Abstract
To investigate individual susceptibility to gastroesophageal reflux disease (GERD), Barrett’s esophagus (BE) and primary esophageal adenocarcinoma (EADC), we studied the frequency of the common G870A polymorphism of CCND1, a cell cycle and DNA repair-associated gene, and expression of its protein, cyclin D1. Between 02/2001 and 02/2003, a total of 431 individuals were enrolled in a case-control study to evaluate lifestyle risk factors and molecular alterations in GERD (n = 142), BE (n = 130), and EADC (n = 57), defined according to strict clinicopathologic criteria. Controls comprised 102 asymptomatic individuals. Genomic DNA was extracted from 307 cases and 95 controls, and PCR was used to amplify exon 4 of CCND1. After digestion with BsrI, acrylamide gel electrophoresis was used to identify wild-type and the G870A polymorphic allele. The presence of alleles (G/G, G/A, A/A) was compared between cases (GERD, BE, EADC) and controls using logistic regression analysis to calculate age and gender adjusted odds ratios (OR) and 95% confidence intervals (CI). Immunohistochemistry was used to analyze cyclin D1 in cases. Compared to controls, increasing frequencies were seen for the A/A genotype in patients with GERD (OR, 2.83; 95% CI, 1.09–7.34), BE (OR, 3.69; 95% CI, 1.46–9.29), and EADC (OR, 5.99; 95% CI, 1.86–18.96). No association was seen between genotype and cyclin D1 overexpression. The CCND1 A/A genotype is associated with increased risk for GERD, BE, and EADC. The contribution of this polymorphism to susceptibility of defined stages in the progression to esophageal adenocarcinoma suggests potential application in Barrett’s surveillance programs.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.130 | 0.037 |
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".