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Data provided by Amazonian peoples are used to estimate the value of wild animals as a source of food, including its spatial distribution and nutritional value, providing information that will be key for improved management of forest ecosystems in the region.

Carlos López-Otín, Elías Campo and colleagues report exome sequencing of tumor and normal samples from 105 individuals with chronic lymphocytic leukemia (CLL). They identify 1,246 somatic mutations predicted to affect gene function and 78 genes with recurrent predicted functional mutations. They find recurrent mutations in the gene encoding the SF3B1 splicing factor, which was mutated in 10% of the CLL samples.

Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.

A genomic, transcriptomic and epigenomic analysis of chronic lymphocytic leukemia identifies genetic drivers and molecular subtypes associated with clinical outcomes.

Huber and colleagues utilize a multi-omic analytical pipeline to define an axis of proliferative drive involving mTOR, MYC and OXPHOS metabolic activity that is associated with disease heterogeneity and outcome in clinical cohorts of CLL.

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.

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.

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.

Genomic approaches in more than 500 patients are used to extend the number of chronic lymphocytic leukaemia (CLL) driver alterations, and also identify novel recurrent mutations in non-coding regions, including an enhancer of PAX5 and the 3′ untranslated region of NOTCH1, which lead to aberrant splicing events, increased NOTCH1 protein stability and activity, and an adverse clinical outcome.

Two studies in this issue identify the landscape of somatic mutations in Burkitt lymphoma and highlight the pathogenic and clinical relevance of inactivating mutations of ID3, an inhibitor of the TCF3 transcription factor.

The definition of regulatory landscape at chronic lymphocytic leukaemia (CLL) risk loci is limited. Here, the authors perform an epigenomic characterisation of 42 known risk loci in CLL and normal B cells at different developmental stages and show active chromatin and target genes in the risk loci.

Immunoglobulin (Ig) rearrangement and translocation information are usually obtained by targeted sequencing of the respective loci. Here, the authors present the IgCaller algorithm, which extracts Ig heavy and light chain genetic properties from short-read whole-genome sequencing results to provide a feasible alternative to direct sequencing.

A highly recurrent A>C somatic mutation in U1 small nuclear RNA, which alters the splicing pattern of genes that include known drivers of cancer, is identified in several types of tumour.

Mutational signature analysis provides important information about the mutational processes underpinning different stages of tumorigenesis. Here, the authors compare publicly available signature extraction tools and suggest a framework for the generation of accurate and reproducible signature data.

The COVID-19 pandemic in Brazil is assessed using phylogenetic and phylogeographic analysis.

Chronic lymphocytic leukaemia has a hereditary component, much of which remains to be identified. Here, the authors perform a genome-wide association study and find new risk loci for the disease, which are associated with genes involved in immune function.

Cancer genetics has benefited from the advent of next generation sequencing, yet a comparison of sequencing and analysis techniques is lacking. Here, the authors sequence a normal-tumour pair and perform data analysis at multiple institutes and highlight some of the pitfalls associated with the different methods.

Single-cell genomic and transcriptomic analyses of longitudinal samples of patients with Richter syndrome reveal the presence and dynamics of clones driving transformation from chronic lymphocytic leukemia years before clinical manifestation

Ferrando and colleagues identify FYN–TRAF3IP2 as a recurrent oncogenic gene fusion that promotes angioimmunoblastic T-cell lymphoma and peripheral T-cell lymphoma not otherwise specified through the activation of NF-κB signaling.

The dynamics of genome architecture during human cell differentiation and upon neoplastic transformation remain poorly characterized. Here, the authors integrate in situ Hi-C and nine additional omic layers to characterize the dynamic changes in 3D genome architecture during normal B cell differentiation and in neoplastic cells from chronic lymphocytic leukemia and mantle cell lymphoma patients.

Defective ribonucleotide excision repair causes ID4, an indel cancer signature characterized by deletions of 2–5 base pairs.

Martin-Subero and colleagues analyze DNA methylation patterns in B-cell tumors and their normal cells of origin, and develop epiCMIT, a methylation-based mitotic clock with prognostic relevance.

The initial mutational processes and how these lead to progression in multiple myeloma (MM) are unclear. Here, the authors identify mutational signatures that occur over time in a large cohort of MM patients and suggest features that may help in early diagnosis.

An analysis of mutations from over 7,000 cancers of diverse origins reveals the diversity of mutational processes underlying the development of cancer; more than 20 distinct mutational signatures are described, some of which are present in many cancer types, notably a signature attributed to the APOBEC family of cytidine deaminases, whereas others are specific to individual tumour types.

Susan Slager and colleagues report a meta-analysis of genome-wide association studies for chronic lymphocytic leukemia (CLL). They identify nine loci newly associated with CLL.