Association of the 15q25 and 5p15 Lung Cancer Susceptibility Regions with Gene Expression in Lung Tumor Tissue
Bibliographic record
Abstract
BACKGROUND: Genome-wide association studies have identified two independent lung cancer susceptibility loci at chromosome 15q25 and one locus at 5p15. We examined the association of genetic variants in these regions with gene expression in lung tumor tissue, in an effort to elucidate carcinogenic mechanisms by which these variants influence lung cancer risk. METHODS: We used data from 2 independent studies of non-small cell lung carcinoma patients: the JBR.10 clinical trial (n = 131) and a University Health Network (UHN) patient sample in Toronto (n = 181). We genotyped seven 15q25 and five 5p15 variants and examined their association with expression profiles of genes in the corresponding regions, measured by Affymetrix HG-U133A. RESULTS: The minor allele (C) of a variant representing one of the two loci at 15q25 (rs2036534) was associated with increased iron-responsive element binding protein 2 (IREB2) expression in both studies (JBR.10 P = 0.042; UHN P = 0.002). A false discovery rate of 0.05 or less in the UHN sample increased our confidence in this association. The association appears to be more prominent among lung adenocarcinoma patients. We did not detect an association between genotype and expression profile for the other 15q25 locus or for 5p15 variants. CONCLUSIONS: In contrast to previous studies that indicate 15q25 variants are associated with lung cancer risk through an effect on smoking behavior, our results suggest these variants may influence risk through a second mechanism, involving modulation of IREB2 expression. IMPACT: This finding expands on potential mechanisms through which 15q25 variants influence lung cancer risk and may have implications for future research on chemoprevention strategies.
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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 | 0.001 | 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".