Study maps mutational signatures behind prostate cancer using largest PPCG genome dataset

Researchers analyzed whole-genome sequencing data from 1,001 prostate cancer patients (1,172 tumour samples) collected through the PPCG consortium, applying computational tools to classify structural variants, including simple, complex, and chromothripsis-related genomic rearrangements. The team combined breakpoint detection, copy number segmentation, and statistical tests to build a detailed picture of mutational processes driving the disease.