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The enzyme ABHD18 is shown to have a key role in cardiolipin metabolism in mitochondria, offering a potential route for a small-molecule treatment of the rare genetic disease Barth syndrome.

Recurrent urinary tract infections occur in ~ 25% of women. Here, Beatson and colleagues use whole genome sequencing to track the dynamics of an E. coli ST131 clone in a single patient over a 5-year period. This study provides unique insights into pathogen evolution during recurrent urinary infection.

Despite improving therapeutic options, the prognosis for patients with metastatic castration-resistance prostate cancer (mCRPC) remains poor. Here, the authors identify MCL1 copy number alterations as a prognostic and predictive biomarker, demonstrating its therapeutic potential as a drug target, either alone or in combination, in patients with mCRPC.

High-depth sequencing of non-cancerous tissue from patients with metastatic cancer reveals single-base mutational signatures of alcohol, smoking and cancer treatments, and reveals how exogenous factors, including cancer therapies, affect somatic cell evolution.

Head and neck squamous cell carcinoma (HNSCC) frequency and risk factors vary considerably across regions and ancestries. Here, the authors conduct a multi-ancestry genome-wide association study and fine mapping study of HNSCC subsites in cohorts from multiple continents, finding susceptibility and protective loci, gene-environment interactions, and gene variants related to immune response.

Some cancer patients first present with metastases where the location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

The persistence of leukemic stem cells (LSCs) is known to limit the success of imatinib in patients with chronic myeloid leukaemia (CML). Here, the authors identify a reliance of these persisting LSCs on pyruvate carboxylase mediated pyruvate anaplerosis for survival after imatinib and demonstrate the therapeutic efficacy of targeting this using an inhibitor of mitochondrial pyruvate carrier.

Escherichia coli ST131 is a globally dominant multidrug resistant clone associated with high rates of recurring urinary tract infections. In this genomic epidemiology study, the authors describe the evolution, population structure, and antimicrobial resistance in 142 E. coli ST131 samples from Wales, UK.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

Subtypes of cancer associated fibroblasts can both promote and suppress tumorigenesis. Here, the authors investigate how p53 status in pancreatic cancer cells affects their interaction with cancer associated fibroblasts, and report perlecan as a mediator of the pro-metastatic environment.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

Integrated multi-omic analyses using samples from the TRACERx study highlight cross-talk between DNA hypermethylation and genomic lesions in non-small cell lung cancer.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

Antibiotic-resistant bacteria are an urgent threat to human health. Here, Roberts et al. characterise and monitor an ongoing hospital outbreak of carbapenemase-producing Enterobacter hormaechei by integrating several technologies for whole-genome sequencing and shotgun metagenomics.

Here, Cottam et al. identify an L-arabinose transporter in Enterohaemorrhagic Escherichia coli and show that metabolism of this dietary sugar upregulates the type 3 secretion system, thus enhancing its fitness within the host gut.

Toxicities limit combination of PARP inhibitors (PARPi) and chemotherapy in patients with germline BRCA1 and BRCA2 pathogenic variant (gBRCAm) breast cancer. Here, the authors report a preclinical study followed by a randomised phase II/III clinical trial investigating the addition of a gap between chemotherapy (carboplatin and paclitaxel) and PARPi (olaparib), in patients with early gBRCAm breast cancer.

Granzyme B is found in activated T cells and can be used as a marker of T cell activation. Here, the authors generate a fluorescent probe that can detect Granzyme B levels in tumours, and has the potential to be used as a biomarker of response to immunotherapy.

Streptococcus dysgalactiae subsp. equisimilis (SDSE) is an emerging cause of human infection closely related to Streptococcus pyogenes. Here the authors investigate the degree of genomic similarity between the two species and assess implications for development of vaccines.

Immune lymphocyte estimation from nucleotide sequencing (ImmuneLENS) infers B cell and T cell fractions from whole-genome sequencing data. Applied to the 100,000 Genomes Project datasets, circulating T cell fraction provides sex-dependent and prognostic insights in patients.

Severe sepsis has a high mortality rate. Here, the authors provide genomic, transcriptomic, proteomic and metabolomic data across four sepsis-causing pathogens and identify a signature of global increase in fatty acid and lipid biosynthesis as well as cholesterol acquisition.

Extra-intestinal pathogenic Escherichia coli cause urinary tract and bloodstream infections. Here, the authors show how mutations that disrupt the production of cellulose, a polysaccharide produced by many bacteria, drive enhanced virulence.

Swanton and colleagues present a clonal expression signature, ORACLE, which, in combination with clinicopathological and molecular risk factors, can predict survival of patients with lung adenocarcinoma, and they prospectively validate its prognostic value.

A study details the results of the PARTNER trial, a prospective, randomized controlled trial of the use of neoadjuvant olaparib with carboplatin–paclitaxel chemotherapy in patients with triple-negative breast cancer who were germline BRCA1 and BRCA2 wild type.

Analyses of in vivo models, cell lines and patient-derived samples show that apolipoprotein B mRNA-editing catalytic subunit 3B (APOBEC3B) not only restrains lung tumor initiation but also that its upregulation is associated with resistance to targeted therapies. This study highlights the complex and context-dependent role of APOBEC3B in lung cancer.

The heterogeneity of androgen receptor (AR) gene alterations across metastases in prostate cancer remains unresolved. Here, the authors characterise AR genomic complexity across spatially separated lethal metastases from 10 prostate cancer patients and investigate how AR alterations evolve.

Major histocompatibility complex (MHC) loss of heterozygosity, allele-specific mutation and measurement of expression and repression (MHC Hammer) detects disruption to human leukocyte antigens due to mutations, loss of heterogeneity, altered gene expression or alternative splicing. Applied to lung and breast cancer datasets, the tool shows that these aberrations are common across cancer and can have clinical implications.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.