Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/183398
Title: Gene–gene interaction of AhRwith and within the Wntcascade affects susceptibility to lung cancer
Author: Rosenberger, Albert
Muttray, Nils
Hung, Rayjean J.
Christiani, David C.
Caporaso, Neil E.
Liu, Geoffrey
Bojesen, Stig E.
Le Marchand, Loic
Albanes, Demetrius
Aldrich, Melinda C.
Tardón, Adonina
Fernández Tardón, Guillermo
Rennert, Gad
Field, John K.
Davies, Michael P. A.
Liloglou, Triantafillos
Kiemeney, Lambertus A.
Lazarus, Philip
Wendel, Bernadette
Haugen, Aage
Zienolddiny, Shanbeh
Lam, Stephen
Schabath, Matthew B.
Andrew, Angeline S.
Duell, Eric J.
Arnold, Susanne M.
Goodman, Gary E.
Chen, Chu
Doherty, Jennifer A.
Taylor, Fiona
Cox, Angela
Woll, Penella J.
Risch, Angela
Muley, Thomas R.
Johansson, Mikael
Brennan, Paul
Landi, Maria Teresa
Shete, Sanjay S.
Amos, Christopher I.
Bickeböller, Heike
The INTEGRAL‑ILCCO Consortium
Keywords: Càncer de pulmó
Gens
Factors de risc en les malalties
Lung cancer
Genes
Risk factors in diseases
Issue Date: 31-Jan-2022
Publisher: Springer Science and Business Media LLC
Abstract: Background Aberrant Wnt signalling, regulating cell development and stemness, influences the development of many cancer types. The Aryl hydrocarbon receptor (AhR) mediates tumorigenesis of environmental pollutants. Complex interaction patterns of genes assigned to AhR/Wnt-signalling were recently associated with 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 Wnt agonist and the antagonistic genes DKK2, DKK3, DKK4, FRZB, SFRP4 and Axin2. Logistic regression models with variable selection were trained, validated and tested to predict lung cancer, at which other previously identified SNPs that have been robustly associated with lung cancer risk could also enter the model. Furthermore, decision trees were created to investigate variant x variant interaction. All analyses were performed for overall lung cancer and for subgroups. Results No genome-wide significant association of AhR/Wnt-genes 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 x 10(-10)) and never smokers (e.g., maker rs1133683 Axin2; OR = 1.27; 95% CI 1.19-1.35; p = 1.0 x 10(-12)). Although predictability is poor, AhR/Wnt-variants are unexpectedly overrepresented in optimized prediction scores for overall lung cancer and for small cell lung cancer. Remarkably, 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. 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.
Note: Reproducció del document publicat a: https://doi.org/10.1186/s40001-022-00638-7
It is part of: European Journal of Medical Research, 2022, vol. 27, num.14
URI: http://hdl.handle.net/2445/183398
Related resource: https://doi.org/10.1186/s40001-022-00638-7
Appears in Collections:Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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