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In hepatocellular carcinoma driven by non-alcoholic steatohepatitis, aberrant T cell activation and impaired immune surveillance seem to make hepatocellular carcinoma less responsive to anti-PD1 or anti-PDL1 immunotherapy.

Genomic analysis of 118 cervical tumors from Ugandan individuals identifies HPV-clade-specific differences in tumor DNA methylation, regulatory-region-associated histone marks, gene expression and pathway dysregulation.

Efforts to allow routine whole genome and transcriptome analysis (WGTA) for pediatric cancers in the clinic remain critical. Here, the authors present results of a unified genomics and bioinformatics pipeline for WGTA in paediatric cancers, the Personalized OncoGenomics (POG) program, with a focus on potential therapeutic targets.

Marco Marra and colleagues identify somatic mutations in EZH2 in diffuse large B-cell lymphomas and follicular lymphomas. EZH2 is a histone methyltransferase that participates in trimethylation of H3 Lys27 (H3K27) as part of the PRC2 complex. The mutations alter a single tyrosine residue in the SET domain of EZH2 and reduce the ability of PRC2 to trimethylate H3K27 in vitro.

Michael Taylor, Marco Marra and colleagues analyze spatial tumor heterogeneity in 9 medulloblastomas, 16 high-grade gliomas and 10 renal cell carcinomas, using a combination of transcriptomic and genomic profiling of multiregional biopsies. They find that medulloblastomas have spatially homogeneous transcriptomes, whereas somatic mutations that affect genes suitable for targeted therapeutics are spatially heterogeneous.

John Maris, Matthew Meyerson, Marco Marra and colleagues report results of a large-scale sequencing study of neuroblastoma. They observe a low median exonic mutation frequency and strikingly few recurrently mutated genes in these tumors, highlighting challenges for developing targeted therapeutic strategies based on frequently mutated oncogenic drivers.

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.

Michael Seldin and colleagues report a genome-wide association study and meta-analyses for primary biliary cirrhosis. They identify three loci newly associated with susceptibility to this autoimmune liver disease.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

This study describes the integrative analysis of 111 reference human epigenomes, profiled for histone modification patterns, DNA accessibility, DNA methylation and RNA expression; the results annotate candidate regulatory elements in diverse tissues and cell types, their candidate regulators, and the set of human traits for which they show genetic variant enrichment, providing a resource for interpreting the molecular basis of human disease.

Genomic analysis of 491 medulloblastoma samples, including methylation profiling of 1,256 cases, effectively assigns candidate drivers to most tumours across all molecular subgroups.

To address the question of whether a recurrent tumour is genetically similar to the tumour at diagnosis, the evolution of medulloblastoma has been studied in both an in vivo mouse model of clinical tumour therapy as well as in humans with recurrent disease; targeted tumour therapies are usually based on targets present in the tumour at diagnosis but the results from this study indicate that post-treatment recurring tumours (compared with the tumour at diagnosis) have undergone substantial clonal divergence of the initial dominant tumour clone.

Marra and colleagues describe POG570, a pan-cancer, whole-genome, transcriptome and clinical dataset stressing the molecular interactions in advanced and post-therapy cancer patients.

KRAS wildtype metastatic pancreatic ductal adenocarcinoma (mPDAC) could represent a distinct molecular entity from other PDACs. Here, the authors analyse KRAS wildtype mPDAC tumours using genomics and transcriptomics and find molecular similarities with cholangiocarcinomas.

The interpretation of somatic variants in cancer is challenging due to the scale and complexity of sequencing data. Here, the authors present PORI, an open-source framework for interpreting somatic variants in cancer using graph knowledge base tools, automated reporting, and manual curation.

Jeffrey Trent, David Huntsman and colleagues identify the SWI/SNF chromatin-remodeling gene SMARCA4 as commonly mutated in small cell carcinoma of the ovary, hypercalcemic type (SCCOHT). Their results implicate SMARCA4 as a crucial factor in the oncogenesis of SCCOHT, a rare but highly malignant cancer.

Pugh and colleagues use single-cell RNA sequencing, CRISPR screens and functional assays to define a gradient of developmental and wound-response cell states in glioblastoma stem cells, revealing insights into glioblastoma origins and potential therapeutic targets.

Elevated levels of interleukin-33 have been associated with poor prognosis in patients with glioma. Here the authors show that glioma-derived IL-33 modulates a pro-tumorigenic immune microenvironment by activating resident and recruiting peripheral innate immune cells.

Sequencing data from the developing cerebellum are compared with bulk sequencing data from paediatric tumours, providing insights into their potential origins and suggesting that many cerebellar tumours have their origins early in utero.

Integrative analysis in patients with diffuse large B-cell lymphoma uncovers that biallelic mutations on TMEM30A are associated with a favorable outcome and enhanced sensitivity to CD47 blockade.

A large-scale genomics study shows that the cell of origin and founding mutations determine disease subtype and lead to the expression of multiple haematopoietic lineage-defining antigens in mixed phenotype acute leukaemia.

Acute lymphoblastic leukaemia is characterized by chromosomal rearrangements. Here, the authors carry out RNA-sequencing on a large cohort of patients and identify recurrent rearrangements of MEF2D, which lead to increased transcriptional activity of the gene, and cellular transformation in vitro.