Extended Data Fig. 7: Mutagenic effects of PM2.5 exposure in LCINS cases excluding SBS4 contributions.
From: The mutagenic forces shaping the genomes of lung cancer in never smokers
a, Quantification of SBS burden excluding SBS4 mutations for patients living in geographical regions with high and low PM2.5 exposure levels (threshold defined at 20 μg m−3; n = 440 high-pollution group, n = 413 low-pollution group; only samples for which the country of origin was known are included). Statistical significance was evaluated using two-sided Wilcoxon rank sum tests. The line within the box indicates the median, the upper and lower ends indicate the 25th and 75th percentiles, whiskers show 1.5 × interquartile range, and values outside are shown as individual data points. b, Forest plot corresponding to a multivariable linear regression considering high or low PM2.5 exposure group, age, sex, genetic ancestry, histology and tumour sample purity as covariates and SBS burden as independent variable (threshold defined at 20 μg m−3; n = 440 high-pollution group, n = 413 low-pollution group; only samples for which the country of origin was known are included). Error bars indicate 95% CIs. c, Scatter plot showing a significant correlation between individual sample estimates of PM2.5 exposure and SBS burden. Statistical significance was evaluated using a multivariable linear regression of the individual PM2.5 estimates per sample and mutation burden (log10 scale), and adjusted by age, sex, genetic ancestry, histology and tumour purity. Blue lines and bands indicate univariate linear regressions and 95% CIs for average mutation burden versus average PM2.5 estimates.
