The pan-cancer analysis of whole genomes The expansion of whole-genome sequencing studies from individual ICGC and TCGA working groups presented the opportunity to undertake a meta-analysis of genomic features across tumour types. To achieve this, the PCAWG Consortium was established. A Technical Working Group implemented the informatics analyses by aggregating the raw sequencing data from different working groups that studied individual tumour types, aligning the sequences to the human genome and delivering a set of high-quality somatic mutation calls for downstream analysis (Extended Data Fig. 1). Given the recent meta-analysis

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Most enzymes form families of paralogs whose members are related by sequence and catalyze similar reactions but have evolved specific biological functions. Comprehensive determination of the substrate specificities and selectivities of all metabolic enzymes in an organism is an essential step toward understanding the relationship between the proteome and the metabolome. By the most recent estimate, Escherichia coli possesses at least 1186 metabolic enzymes and 1005 metabolites (1). The most common functional group in the metabolome is phosphate; 35-40% of the metabolites contain a phosphate group (2). The pool of phosphorylated metabolites is controlled by the activity of diverse kinases and phosphatases, of which there are hundreds in the E. coli genome.

Here, as part of the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, for which whole-genome and-for a subset-whole-transcriptome sequencing data from 2,658 cancers across 38 tumor types was aggregated, we systematically investigated potential viral pathogens using a consensus approach that integrated three independent pipelines. Viruses were detected in 382 genome and 68 transcriptome datasets. We found a high prevalence of known tumor-associated viruses such as Epstein-Barr virus (EBV), hepatitis B virus (HBV) and human papilloma virus (HPV; for example, HPV16 or HPV18). The study revealed significant exclusivity of HPV and driver mutations in head-and-neck cancer and the association of HPV with APOBEC mutational signatures, which suggests that impaired antiviral defense is a driving force in cervical, bladder and headand-neck carcinoma. For HBV, HPV16, HPV18 and adeno-associated virus-2 (AAV2), viral integration was associated with local variations in genomic copy numbers. Integrations at the TERT promoter were associated with high telomerase expression evidently activating this tumor-driving process. High levels of endogenous retrovirus (ERV1) expression were linked to a worse survival outcome in patients with kidney cancer.

Signature-based subtyping may guide personalized therapy of PDAC in the context of biomarker-driven prospective trials.