Gene-gene Interaction of AhR With and Within the Wnt Cascade Affects Susceptibility to Lung Cancer

Introduction: Aberrant Wnt signalling, regulating cell development and stemness, is observed in many cancer entities. Aryl hydrocarbon receptor (AhR) mediates tumorigenesis of environmental pollutants. Complex interaction patterns of genes assigned to AhR/Wnt-signalling were recently associated to lung cancer susceptibility. Aim: To assess the association and predictive ability of AhR/Wnt-genes with lung cancer in cases and controls of European descent. Methods: Odds ratios (OR) were estimated for genomic variants assigned to the genes DKK2, DKK3, DKK4, FRZB, SFRP4 and Axin2 and other lung cancer-related genes. Logistic regression models with variable selection were trained, validated and tested to predict lung cancer. Further, decision trees were created to investigate variant x variant interaction. All analyses were performed for overall lung cancer and for subgroups. Results: No association with overall lung cancer was observed, but within the subgroups of ever smokers (e.g. maker rs2722278 SFRP4; OR=1.20; 95%-CI: 1.13-1.27; p=5.6 10-10) and never smokers. Although predictability is poor, AhR/Wnt-variants are unexpected overrepresented in optimized prediction scores for overall lung cancer and for small cell lung cancer. Remarkable, the score for never-smokers contained solely two AhR/Wnt-variants. The optimal decision tree for never smokers consists of 7 AhR/Wnt-variants and only two lung cancer variants, no assigned to any CHRN gene. Conclusions: The role of variants belonging to Wnt/AhR-pathways in lung cancer susceptibility may be underrated in main-effects association analysis. Complex interaction patterns in individuals of European descent have moderate predictive capacity for lung cancer or subgroups thereof, especially in never smokers.

[1]  Yixin Fang,et al.  Asymptotic Equivalence between Cross-Validations and Akaike Information Criteria in Mixed-Effects Models , 2021 .

[2]  X. Shu,et al.  Incorporating Both Genetic and Tobacco Smoking Data to Identify High-Risk Smokers for Lung Cancer Screening. , 2021, Carcinogenesis.

[3]  L. Kiemeney,et al.  Assessing Lung Cancer Absolute Risk Trajectory Based on a Polygenic Risk Model , 2021, Cancer Research.

[4]  Minmin Li,et al.  Bisphenol A and the Risk of Obesity a Systematic Review With Meta-Analysis of the Epidemiological Evidence , 2020, Dose-response : a publication of International Hormesis Society.

[5]  J. Denny,et al.  Evaluating the Utility of Polygenic Risk Scores in Identifying High-Risk Individuals for Eight Common Cancers , 2020, JNCI cancer spectrum.

[6]  A. Fernández-Villar,et al.  Residential radon, genetic polymorphisms in DNA damage and repair-related. , 2019, Lung cancer.

[7]  Qian Xiao,et al.  Neutralizing monoclonal antibody against Dickkopf2 impairs lung cancer progression via activating NK cells , 2019, Cell Death Discovery.

[8]  G. Kollias,et al.  Wnt1 silences chemokine genes in dendritic cells and induces adaptive immune resistance in lung adenocarcinoma , 2019, Nature Communications.

[9]  M. S. Artigas,et al.  Genetic interaction analysis among oncogenesis-related genes revealed novel genes and networks in lung cancer development , 2019, Oncotarget.

[10]  Helen E. Parkinson,et al.  The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 , 2018, Nucleic Acids Res..

[11]  L. Wain,et al.  Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk , 2018, Nature Communications.

[12]  S. Lam,et al.  Genetic modifiers of radon-induced lung cancer risk: a genome-wide interaction study in former uranium miners , 2018, International Archives of Occupational and Environmental Health.

[13]  P. Xue,et al.  The Aryl Hydrocarbon Receptor and Tumor Immunity , 2018, Front. Immunol..

[14]  K. Owzar,et al.  Novel genetic variants in the P38MAPK pathway gene ZAK and susceptibility to lung cancer , 2018, Molecular carcinogenesis.

[15]  Navneet Singh,et al.  High-order gene interactions between the genetic polymorphisms in Wnt and AhR pathway in modulating lung cancer susceptibility. , 2017, Personalized medicine.

[16]  William S. Bush,et al.  Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes , 2017, Nature Genetics.

[17]  C. Amos,et al.  Gene-set meta-analysis of lung cancer identifies pathway related to systemic lupus erythematosus , 2017, PloS one.

[18]  Navneet Singh,et al.  Association of polymorphisms in Dickopff (DKK) gene towards modulating risk for lung cancer in north Indians. , 2017, Future oncology.

[19]  Ravi S. Misra,et al.  Lung Gene Expression Analysis (LGEA): an integrative web portal for comprehensive gene expression data analysis in lung development , 2017, Thorax.

[20]  Dennis J. Hazelett,et al.  The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers , 2016, Cancer Epidemiology, Biomarkers & Prevention.

[21]  Mitchell J. Machiela,et al.  LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants , 2015, Bioinform..

[22]  Le Zhang,et al.  Aberrantly expressed miR-582-3p maintains lung cancer stem cell-like traits by activating Wnt/β-catenin signalling , 2015, Nature Communications.

[23]  M. Guo,et al.  ‘LungGENS’: a web-based tool for mapping single-cell gene expression in the developing lung , 2015, Thorax.

[24]  Jianxin Shi,et al.  Deciphering associations for lung cancer risk through imputation and analysis of 12 316 cases and 16 831 controls , 2015, European Journal of Human Genetics.

[25]  G. von Heijne,et al.  Tissue-based map of the human proteome , 2015, Science.

[26]  Carson C Chow,et al.  Second-generation PLINK: rising to the challenge of larger and richer datasets , 2014, GigaScience.

[27]  R. Peterson,et al.  Intersection of AHR and Wnt Signaling in Development, Health, and Disease , 2014, International journal of molecular sciences.

[28]  J. She,et al.  Serum Dickkopf-1 (DKK1) is significantly lower in patients with lung cancer but is rapidly normalized after treatment. , 2014, American journal of translational research.

[29]  L. Xue,et al.  Association between TERT rs2736100 polymorphism and lung cancer susceptibility: evidence from 22 case–control studies , 2014, Tumor Biology.

[30]  Gary K. Chen,et al.  Hierarchical modeling identifies novel lung cancer susceptibility variants in inflammation pathways among 10,140 cases and 11,012 controls , 2013, Human Genetics.

[31]  P. Lee,et al.  Systematic review with meta-analysis of the epidemiological evidence in the 1900s relating smoking to lung cancer , 2012, BMC Cancer.

[32]  Yang Zhao,et al.  Influence of common genetic variation on lung cancer risk: meta-analysis of 14 900 cases and 29 485 controls , 2012, Human molecular genetics.

[33]  Paul Polakis,et al.  Wnt signaling in cancer. , 2012, Cold Spring Harbor perspectives in biology.

[34]  William Wheeler,et al.  Multiple Independent Loci at Chromosome 15q25.1 Affect Smoking Quantity: a Meta-Analysis and Comparison with Lung Cancer and COPD , 2010, PLoS genetics.

[35]  M. Thun,et al.  International Lung Cancer Consortium: coordinated association study of 10 potential lung cancer susceptibility variants. , 2010, Carcinogenesis.

[36]  Ying Wang,et al.  A genome-wide association study of lung cancer identifies a region of chromosome 5p15 associated with risk for adenocarcinoma. , 2009, American journal of human genetics.

[37]  Han Chang,et al.  Aryl hydrocarbon receptor activation and overexpression upregulated fibroblast growth factor‐9 in human lung adenocarcinomas , 2009, International journal of cancer.

[38]  Alkes L. Price,et al.  Reconstructing Indian Population History , 2009, Nature.

[39]  A. Gazdar,et al.  Lung cancer in never smokers — a different disease , 2007, Nature Reviews Cancer.

[40]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[41]  Pinpin Lin,et al.  Requirement of Aryl Hydrocarbon Receptor Overexpression for CYP1B1 Up-Regulation and Cell Growth in Human Lung Adenocarcinomas , 2007, Clinical Cancer Research.

[42]  P. Lin,et al.  Overexpression of Aryl Hydrocarbon Receptor in Human Lung Carcinomas , 2003, Toxicologic pathology.

[43]  T. Akiyama Wnt/beta-catenin signaling. , 2000, Cytokine & growth factor reviews.

[44]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[45]  M. Stone An Asymptotic Equivalence of Choice of Model by Cross‐Validation and Akaike's Criterion , 1977 .