TY - JOUR
T1 - Gene–gene interaction of AhRwith and within the Wntcascade affects susceptibility to lung cancer
AU - Rosenberger, Albert
AU - Muttray, Nils
AU - Hung, Rayjean J.
AU - Christiani, David C.
AU - Caporaso, Neil E.
AU - Liu, Geoffrey
AU - Bojesen, Stig E.
AU - Le Marchand, Loic
AU - Albanes, Demetrios
AU - Aldrich, Melinda C.
AU - Tardon, Adonina
AU - Fernández-Tardón, Guillermo
AU - Rennert, Gad
AU - Field, John K.
AU - Davies, Michael P.A.
AU - Liloglou, Triantafillos
AU - Kiemeney, Lambertus A.
AU - Lazarus, Philip
AU - Wendel, Bernadette
AU - Haugen, Aage
AU - Zienolddiny, Shanbeh
AU - Lam, Stephen
AU - Schabath, Matthew B.
AU - Andrew, Angeline S.
AU - Duell, Eric J.
AU - Arnold, Susanne M.
AU - Goodman, Gary E.
AU - Chen, Chu
AU - Doherty, Jennifer A.
AU - Taylor, Fiona
AU - Cox, Angela
AU - Woll, Penella J.
AU - Risch, Angela
AU - Muley, Thomas R.
AU - Johansson, Mikael
AU - Brennan, Paul
AU - Landi, Maria Teresa
AU - Shete, Sanjay S.
AU - Amos, Christopher I.
AU - Bickeböller, Heike
AU - The INTEGRAL-ILCCO Consortium
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - 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 × 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 × 10–10) and never smokers (e.g., maker rs1133683 Axin2; OR = 1.27; 95% CI 1.19–1.35; p = 1.0 × 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.
AB - 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 × 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 × 10–10) and never smokers (e.g., maker rs1133683 Axin2; OR = 1.27; 95% CI 1.19–1.35; p = 1.0 × 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.
KW - Association
KW - Decision trees
KW - Gene–gene integration
KW - Never smoker
KW - Polygenic risk score
KW - Prediction
KW - Small cell lung cancer
KW - Susceptibility
UR - http://www.scopus.com/inward/record.url?scp=85124816563&partnerID=8YFLogxK
U2 - 10.1186/s40001-022-00638-7
DO - 10.1186/s40001-022-00638-7
M3 - Journal article
C2 - 35101137
AN - SCOPUS:85124816563
SN - 0949-2321
VL - 27
JO - European Journal of Medical Research
JF - European Journal of Medical Research
IS - 1
M1 - 14
ER -