Stage and histology influence the relationship between MDM2 promoter polymorphism and esophageal cancer and overall survival (OS)
Bibliographic record
Abstract
21047 Background: A single nucleotide polymorphism in the MDM2 promoter (SNP309) has been found to affect OS of advanced stage gastric adenocarcinoma (AD) and early stage squamous (SQ) cell carcinoma of the lung. The aim of this study was to evaluate the role of this polymorphism in the prognosis of esophageal cancer, another aerodigestive cancer. Methods: 150 early stage (E) and 118 locally advanced stage (LA) esophageal cancers were genotyped for MDM2 SNP309 using Taqman. The primary endpoint was overall survival (OS). Results: E disease: n=23 stage I; n=127 stage II. LA disease: n=93, Stage III; n=25, Stage IVA. AD comprised 215 (81%), while SQ comprised 45 (17%) of cases; 8 (3%) had poorly differentiated tumors. Median follow-up = 32 months. Median OS were 36 and 21 months for E and LA disease, respectively. Both histology and disease stage affected the relationship between SNP309 and esophageal cancer OS (see Table ). The wildtype T/T genotype conferred a worse OS in E patients (log-rank, p=0.03), especially those with AD (log-rank, p=0.003). In Cox proportional hazards interaction analyses, after adjusting for age, gender, stage and PS, there were statistically significant interactions between MDM2 SNP309 and disease stage (interaction p=0.004) and between MDM2 SNP309 and histologic subtype (AD vs. SQ)(interaction p=0.02). Thus, the direction of SNP309 association from our AD and E esophageal cancer patients are opposite to those of our SQ and LA esophageal cancer patients. However, our SQ and LA results are similar to the SQ lung cancer and advanced stage gastric cancers previously reported. This suggests that biologic mechanisms underpinning the prognostic role of SNP309 are dependent on extent of disease and histologic subtype. Conclusion: Histology and disease stage interact with the prognostic role of MDM2 SNP309 polymorphism in esophageal cancer OS. [Table: see text] No significant financial relationships to disclose.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 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".