Wang X, et al. Cancer Epidemiol Biomarkers Prev 2020.
BACKGROUND: Regular use of non-steroidal anti-inflammatory drugs (NSAIDs) is associated with lower risk of colorectal cancer (CRC). Genome-wide interaction analysis on single variants (G×E) has identified several SNPs that may interact with NSAIDs to confer CRC risk, but variations in gene expression levels may also modify the effect of NSAID use. Therefore, we tested interactions between NSAID use and predicted gene expression levels in relation to CRC risk.
METHODS: Genetically predicted gene expressions were tested for interaction with NSAID use on CRC risk among 19,258 CRC cases and 18,597 controls from 21 observational studies. A Mixed Score Test for Interactions (MiSTi) approach was used to jointly assess G×E effects which are modeled via fixed interaction effects of the weighted burden within each gene sets (burden) and residual G×E effects (variance). A false discovery rate (FDR) at 0.2 was applied to correct for multiple testing.
RESULTS: Among the 4,840 genes tested, genetically predicted expression levels of four genes modified the effect of any NSAID use on CRC risk, including DPP10 (P-G×E=1.96×10-4), KRT16 (P-G×E=2.3×10-4), CD14 (P-G×E=9.38×10-4), and CYP27A1 (P-G×E=1.44×10-3). There was a significant interaction between expression level of RP11-89N17 and regular use of aspirin only on CRC risk (P-G×E=3.23×10-5). No interactions were observed between predicted gene expression and non-aspirin NSAID use at FDR<0.2.
CONCLUSION: By incorporating functional information, we discovered several novel genes that interacted with NSAID use.
IMPACT: These findings provide preliminary support that could help understand the chemopreventive mechanisms of NSAIDs on CRC.