Global Meta-Analysis of Urine Microbiome: Colonization of PAH-degrading bacteria among bladder cancer patients

Background The application of next generation sequencing techniques has enabled characterization of urinary tract microbiome. Although many studies have demonstrated associations between the human microbiome and bladder cancer, they have not always reported consistent results, thereby necessitating cross-study comparisons. Thus, the fundamental questions remain how we can utilize this knowledge. The aim of our study was to examine for disease-associated changes in urine microbiome communities globally utilizing machine learning algorithm. The results were further validated using our own prospectively collected urine of bladder cancer patients. Results Our study included 129 bladder cancer urine samples, and 60 healthy controls across four different countries. At a meta-analysis false discovery rate (FDR) of 0.01, we identified a total of 97/548 genera to be differentially abundant in the BCa microbiome compared to healthy patients. Overall, while the differences in diversity metrics were clustered around the country of origin (Kruskal Wallis, P