Genome-wide association study of early-stage non-small cell lung cancer prognosis: a pooled analysis in the International Lung Cancer Consortium
Bibliographic record
Abstract
Lung cancer is the leading cause of cancer mortality. To investigate genetic determinants for prognosis among patients diagnosed with early-stage non-small cell lung cancer (NSCLC), we conducted the first large-scale genome-wide association prognostic study using data from the International Lung Cancer Consortium (ILCCO) through a two-phase analysis. Phase 1 includes the discovery of genome-wide association studies analysis using a multivariable Cox PH model on 3428 NSCLC patients of European ancestry from 10 ILCCO participating studies to identify genetic variants associated with overall survival and validation analysis for genome-wide significant variants (P-value ≤5 × 10-8) using the Cancer Genome Atlas (TCGA). Phase 2 aims to identify causal variants using functional analyses of genome-wide significant and suggestive variants (P-value ≤1 × 10-5), including variant-epigenetic functional annotation (FAVOR), CHIP-seq data, variant-gene expression association, and colocalization analysis. We identified two significant variants; of those, a locus at 9q21.31 (rs117979484) was significant at the genome-wide level (P = 3.67 × 10-8) and validated in TCGA (P = 0.03). Three suggestive variants were found to have a putative epigenetic function: intronic variants rs149281784 (BCL7B gene) and rs148031766 (POM121 gene) both located at 7q11.23 and in moderate linkage disequilibrium with each other; and variant rs2471630 (SRCIN1 gene; 17q12). Specifically, variants rs149281784 and rs148031766 have potential regulatory roles in the transcriptional activation of the BCL7B gene and POM121 gene. Exploratory survival analyses in the squamous cell carcinomas subgroup also identified a significant variant, rs138467404 (GRHL-2 gene; 8q22.3) at a genome-wide level (P = 4.75 × 10-8) and validated by TCGA (P = 0.02). These new findings indicate potential novel pathways associated with early-stage NSCLC prognosis. Future research may validate additional genome-wide suggestive variants as being relevant for lung cancer outcomes.
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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 | 0.001 |
| 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) | 0.000 | 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".