Prognostic significance of nuclear excision (NER) and base excision (BER) DNA repair gene polymorphisms in esophageal cancer
Bibliographic record
Abstract
2511 Background: DNA repair pathways are involved in cisplatin-induced damage (NER pathway) & radiation damage (BER pathway). Some single nucleotide polymorphisms (SNPs) of DNA repair genes are associated with DNA repair capacity, cancer risk & outcomes. We investigated the prognostic significance of 7 NER/BER SNPs on disease free (DFS) & overall survival (OS) in esophageal cancer. Methods: 150 patients with esophageal cancer treated with cisplatin-based chemoradiation & surgery were genotyped for BER (XRCC1 Arg399Gln; APE1 Asp148Glu; hOGG1 Ser326Cys) & NER (ERCC1 8092C/A; ERCC1 codon 118 C/T; XPD Asp312Asn; XPD Lys751Gln) SNPs. Analysis involved Kaplan-Meier curves, log-rank tests, and Cox proportional hazards models. Results: Median age: 63 years (range 28–80); 91% male; 100% ECOG performance status (PS) 0–1; adenocarcinoma 79%; stages IIA 22%, IIB 30%, III 33%, and IVA 15%. No SNPs were associated with stage or PS. Multiple NER SNP was independently prognostic for OS and DFS (see Table ). When compared to individuals who were wildtype in all four studied NER SNPs, individuals with variants in all four NER SNPs were associated with substantial improvement in OS (Adjusted Hazard Ratio (AHR) = 0.40, 95% confidence interval (CI) = 0.2–0.7) and DFS (AHR = 0.44, 95%CI = 0.2–0.8). Furthermore, increasing numbers of variant genotypes were associated with a progressive increase in OS & DFS when all seven NER/BER pathway SNPs were analysed together ( Table ). There was a 3.8- fold increase in OS (75 vs. 20 months) and five-fold increase in DFS (51 vs. 10 months) when comparing individuals with 6–7 SNPs with variant alleles to individuals with 0–1 SNPs with variant alleles. Conclusions: The ERCC1 8092 C/A, XPD Asp312Asn & XPD Lys751Gln SNPs in the NER pathway are associated individually with prognosis in esophageal cancer patients treated with cisplatin-based trimodality regimens. In addition, as the number of NER and BER SNPs carrying variant alleles increased, OS and DFS improved dramatically. [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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".