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Record W4412842539 · doi:10.1093/carcin/bgaf031

Genome-wide association study of early-stage non-small cell lung cancer prognosis: a pooled analysis in the International Lung Cancer Consortium

2025· article· en· W4412842539 on OpenAlexafffund
Mei Dong, Abhinav Thakral, Karl Smith-Byrne, Yohan Bossé, Hufeng Zhou, Yi Zhang, Joshua Atkins, Philip Haycock, M. Catherine Brown, Kiera R. Murison, Wim Timens, Don D. Sin, Jui Kothari, Aurélie AG Gabriel, Давид Заридзе, Milan Savić, Jolanta Lissowska, Beata Świątkowska, Vladimí­r Janout, Ivana Holcátová, Anush Mukeria, Guillermo Fernández‐Tardón, Michael P.A. Davies, Matthew Triplette, Matthew B. Schabath, Angeline S. Andrew, Chen Chu, Fiona Taylor, John K. Field, Adonina Tardón, Sanjay Shete, Paul Brennan, Maria Teresa Landi, James McKay, Christopher I. Amos, Xihong Lin, David C. Christiani, Geoffrey Liu, Wei Xu

Bibliographic record

VenueCarcinogenesis · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsSt. Paul's HospitalSinai Health SystemLunenfeld-Tanenbaum Research InstitutePrincess Margaret Cancer CentreInstitut universitaire de cardiologie et de pneumologie de QuébecUniversity of British ColumbiaPublic Health OntarioUniversity of Toronto
FundersNational Cancer InstituteNational Institutes of HealthCanadian Institutes of Health ResearchSheffield Hospitals CharityRoy Castle Lung Cancer FoundationPrincess Margaret Cancer FoundationDivision of Cancer Epidemiology and Genetics, National Cancer InstituteFred Hutchinson Cancer Research CenterCentre International de Recherche sur le CancerWorld Health Organization
KeywordsLung cancerGenome-wide association studyBiologyGenetic associationLinkage disequilibriumCancerGeneGeneticsOncologyAlleleSingle-nucleotide polymorphismGenotypeMedicineHaplotype

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.506

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.276
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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