We also applied our workflow to analyse nearly a thousand prostate cancer samples, focusing on the varying expression of the FOLH1 gene, and identified specific pathways such as the PI3K-AKT-mTOR gene sets as well as signatures linked to prostate tumour aggressiveness.<h4>Conclusion</h4>Our comprehensive approach provides a novel tool to identify disease-relevant functions of genes of interest (GOI) in large datasets. Here, MTOR is linked to prostate cancer.