ArticleCarcinogenesis2018
Genome-wide interaction study of smoking behavior and non-small cell lung cancer risk in Caucasian population.
Article in Carcinogenesis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 6 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed, 6 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population.Nature communications · 2023Pooled it
- A systematic review of genetic ancestry as a risk factor for incidence of non-small cell lung cancer in the US.Frontiers in genetics · 2023Pooled it
- Construction and case study of a novel lung cancer risk index.BMC cancer · 2022Pooled it
- Cross-ancestry genome-wide meta-analysis of 61,047 cases and 947,237 controls identifies new susceptibility loci contributing to lung cancer.Nature genetics · 2022Pooled it
- Impact of Smoking on Response to the First-Line Treatment of Advanced ALK-Positive Non-Small Cell Lung Cancer: A Bayesian Network Meta-Analysis.Frontiers in pharmacology · 2022Pooled it
- Potential genetic modifiers for somatic EGFR mutation in lung cancer: a meta-analysis and literature review.BMC cancer · 2019Pooled it
- Knowledge-Guided Explainable Recommendation Tool for Cancer Risk Prediction Models Using Retrieval-Augmented Large Language Models: Development and Validation Study.JMIR medical informatics · 2026Article
- Crosstalk between metabolic reprogramming and microbiota: implications for cancer progression and novel therapeutic opportunities.Frontiers in immunology · 2025Review
- Single nucleotide variants in lung cancer.Chinese medical journal pulmonary and critical care medicine · 2024Review
- Symbiotic microbial communities in various locations of the lung cancer respiratory tract along with potential host immunological processes affected.Frontiers in cellular and infection microbiology · 2024Review
- Candidate pathway analysis of surfactant proteins identifies CTSH and SFTA2 that influences lung cancer risk.Human molecular genetics · 2023Article
- Genome-wide Interaction Study with Smoking for Colorectal Cancer Risk Identifies Novel Genetic Loci Related to Tumor Suppression, Inflammation, and Immune Response.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023Article
- The Importance of the Immune System and Molecular Cell Signaling Pathways in the Pathogenesis and Progression of Lung Cancer.International journal of molecular sciences · 2023Review
- Association of psychological distress, smoking and genetic risk with the incidence of lung cancer: a large prospective population-based cohort study.Frontiers in oncology · 2023Article
- Gut microbiota and its metabolites in non-small cell lung cancer and brain metastasis: from alteration to potential microbial markers and drug targets.Frontiers in cellular and infection microbiology · 2023Article
- Genome-wide interaction analysis identified low-frequency variants with sex disparity in lung cancer risk.Human molecular genetics · 2022Article
- Association of smoking and polygenic risk with the incidence of lung cancer: a prospective cohort study.British journal of cancer · 2022Article
- microRNA-1321 and microRNA-7515 contribute to the progression of non-small cell lung cancer by targeting CDC20.The Kaohsiung journal of medical sciences · 2022Article
- Alterations of the Human Lung and Gut Microbiomes in Non-Small Cell Lung Carcinomas and Distant Metastasis.Microbiology spectrum · 2021Article
- Polymorphisms in the Gene Encoding Caspase 8 May Predict the Response to First-Line Platinum-Based Chemotherapy in Locally Advanced or Advanced Non-Small-Cell Lung Cancer.Journal of clinical medicine · 2021Article
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76 authors at 20 institutions in 19 countries.
Funding
Abstract
Non-small cell lung cancer is the most common type of lung cancer. Both environmental and genetic risk factors contribute to lung carcinogenesis. We conducted a genome-wide interaction analysis between single nucleotide polymorphisms (SNPs) and smoking status (never- versus ever-smokers) in a European-descent population. We adopted a two-step analysis strategy in the discovery stage: we first conducted a case-only interaction analysis to assess the relationship between SNPs and smoking behavior using 13336 non-small cell lung cancer cases. Candidate SNPs with P-value <0.001 were further analyzed using a standard case-control interaction analysis including 13970 controls. The significant SNPs with P-value <3.5 × 10-5 (correcting for multiple tests) from the case-control analysis in the discovery stage were further validated using an independent replication dataset comprising 5377 controls and 3054 non-small cell lung cancer cases. We further stratified the analysis by histological subtypes. Two novel SNPs, rs6441286 and rs17723637, were identified for overall lung cancer risk. The interaction odds ratio and meta-analysis P-value for these two SNPs were 1.24 with 6.96 × 10-7 and 1.37 with 3.49 × 10-7, respectively. In addition, interaction of smoking with rs4751674 was identified in squamous cell lung carcinoma with an odds ratio of 0.58 and P-value of 8.12 × 10-7. This study is by far the largest genome-wide SNP-smoking interaction analysis reported for lung cancer. The three identified novel SNPs provide potential candidate biomarkers for lung cancer risk screening and intervention. The results from our study reinforce that gene-smoking interactions play important roles in the etiology of lung cancer and account for part of the missing heritability of this disease.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.