Association of XRCC4 codon 247 polymorphism with oral cancer susceptibility in Taiwan.
Bibliographic record
Abstract
BACKGROUND: The DNA repair gene XRCC4, an important caretaker of overall genome stability, is thought to play a major role in the development of human carcinogenesis. However, the association of the polymorphic variants of XRCC4 with oral cancer susceptibility has never been reported. MATERIALS AND METHODS: In this hospital-based case-control study, the association of XRCC4 codon 247 (rs3734091), G-1394T (rs6869366), intron 7 (rs28360317) and intron 7 (rs1805377) polymorphisms with oral cancer risk in a Central Taiwanese population was investigated. In total, 318 patients with oral cancer and 318 age- and gender-matched healthy controls recruited from the China Medical Hospital in Central Taiwan were genotyped. RESULTS: A significantly different distribution was found in the frequency of the XRCC4 codon 247 genotype, but not the XRCC4 G-1394T or intron 7 genotypes, between the oral cancer and control groups. A/C heterozygosity at XRCC4 codon 247 conferred a significant (2.04-fold) increased risk of oral cancer. As for XRCC4 G-1394T and intron 7 polymorphisms, there was no difference in distribution between the oral cancer and control groups. Gene-environment interactions with smoking, but not with betel quid chewing or alcohol consumption, were significant for XRCC4 codon 247 polymorphism. The XRCC4 codon 247 A/C genotype in association with smoking conferred an increased risk of 3.44 (95% confidence interval = 1.24-9.60) for oral cancer. CONCLUSION: Our results provide the first evidence that the heterozygous A allele of the XRCC4 codon 247 may be associated with the development of oral cancer and may be a novel useful marker for primary prevention and anticancer intervention.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".