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The order in which driver mutations of colorectal cancer occur in intestinal epithelium can determine whether clones are positively or negatively selected and can shape subsequent tumour development.

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.

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.

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.

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.

Transancestral GWAS meta-analysis in 160,420 individuals identifies 139 loci associated with refractive error, including myopia. Newly identified genes implicate pathways involved in eye growth and light signaling cascades.

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.

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.

Analysis combining multiple global tree databases reveals that whether a location is invaded by non-native tree species depends on anthropogenic factors, but the severity of the invasion depends on the native species diversity.

Metastatic dissemination contributes to the lethality in pancreatic ductal adenocarcinoma (PDAC). Here, the authors perform RNA-sequencing on patient derived circulating tumor cells (CTCs) and identify three major CTC subgroups, and show the therapeutic potential of targeting LIN28B/let-7 pathway to halt cancer metastasis.

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.

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.

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.

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.

The boreal forest is being transformed by changes in its climate–fire regime. Analysis now shows that lightning drives year-to-year and long-term ignition and burned area trends in boreal North America.

Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

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.

Analysis of whole-genome sequencing data from hematopoietic stem and progenitor cells taken from patients with myeloma shows how treatment shapes clonal architecture and sheds light on the evolution of treatment-related myeloid neoplasms.

Sleep-active physiological processes enhance overnight glymphatic clearance of Alzheimer’s disease biomarkers into plasma in humans, supporting the critical role of glymphatic function in Alzheimer’s pathophysiology and its potential as a therapeutic target.

Myeloid derived suppressor cells (MDSC) use different metabolic mechanisms to adapt to the tumour microenvironment. Here the authors show that 6-phosphogluconate dehydrogenase (6PGD) is important for MSDC function and that blockade of 6PGD impaired MDSC function and suppresses tumour growth leading to metabolic and functional changes in the MDSC and a more pro-inflammatory phenotype.

Tumour evolution and heterogeneity in high grade serous ovarian cancer (HGSOC) remains poorly characterised. Here, the authors investigate the genomic landscape of HGSOC and reveal two distinct evolutionary trajectories associated with clinical outcomes.

Synergies between agroecology and nutrition are explored in this Perspective, with a view towards developing a framework to transform agroecology for improved nutrition.

A genomic and transcriptomic analysis of 2,754 childhood acute lymphoblastic leukemias identifies 376 putative driver genes, and associations between disease subtypes and prognosis.

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.

Integrated single-cell and spatial data analysis, combined with bidirectional CRISPR screens, identify the transcription factor GLIS3 as a key driver of chronic inflammation and fibrosis and a potential marker of disease severity in patients with ulcerative colitis.

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.

Childhood radioactive iodine exposure from the Chornobyl accident led to an increased papillary thyroid carcinoma (PTC) risk and potentially higher invasiveness depending on tumour genetic profiles. Here, the authors use genomics to characterise and predict cervical lymph node metastases in PTC patients affected by the Chornobyl accident.

Analyzing data of the Mexican Biobank project, a new study finds regional differences in clinically relevant genetic frequencies and presents MexVar, a publicly accessible resource designed to support ancestry-informed genetic testing.

Computational and machine-learning approaches that integrate genomic and transcriptomic variation from paired primary and metastatic non-small cell lung cancer samples from the TRACERx cohort reveal the role of transcriptional events in tumour evolution.

In this phase 1 trial, treatment of patients with fibrolamellar hepatocellular carcinoma with a therapeutic peptide vaccine targeting the fusion kinase DNAJB1–PRKACA, which is the driver of the disease, together with nivolumab and ipilimumab, was safe and led to encouraging preliminary clinical responses, and translational analysis showed activation of immune responses.

Combination of epidemiology, preclinical models and ultradeep DNA profiling of clinical cohorts unpicks the inflammatory mechanism by which air pollution promotes lung cancer

Wei et al. perform spatial transcriptomic profiling on synovial tissue biopsy samples from individuals with recent-onset rheumatoid arthritis, finding TGFβ signaling and fibrogenic fibroblast activation drive a treatment-refractory tissue phenotype.

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.

The genomic features of precursor conditions of multiple myeloma provide multiple biological insights into disease origins and evolution, together with opportunities to identify those at highest risk of progression.

The authors demonstrate dual-probe multi-messenger imaging of high-energy-density plasmas based on laser-wakefield-accelerated electrons. This enables spatiotemporally resolved simultaneous probing of plasma hydrodynamics and electromagnetic field evolution with both x-ray and electron beams.

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

Whole-genome sequencing of normal bronchial epithelium from 16 individuals shows that tobacco smoking increases genomic heterogeneity, mutational burden and driver mutations, whereas stopping smoking promotes replenishment of the epithelium with near-normal cells.

Comprehensive genomic and transcriptomics analyses of more than 1,300 cases of childhood T-lineage acute lymphoblastic leukaemia identify 15 distinct subtypes that are associated with specific outcomes.

Lipid particles loaded with RNA coding for tumour-unspecific antigens can enhance early responses of type-I interferons, mediating the success of immune checkpoint inhibitors as well as epitope spreading.

The genomic landscape of diffuse gliomas remains to be characterised. Here, the authors perform whole genome sequencing of 403 tumours and identify recurrent coding and non-coding genetic mutations, their associations with clinical outcomes and potential therapeutic targets.

Neurofibromatosis type 1 (NF1) is a genetic disorder caused by mutations in neurofibromin and associated with disruptions in physiology and behavior. Here the authors show that neurofibromin regulates metabolic homeostasis via a discrete brain circuit in a Drosophila model of NF1.

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.

Wastewater-based surveillance tends to focus on specific pathogens. Here, the authors mapped the wastewater virome from 62 cities worldwide to identify over 2,500 viruses, revealing city-specific virome fingerprints and showing that wastewater metagenomics enables early detection of emerging viruses.

Basal cell adenoma (BCA) and basal cell adenocarcinoma (BCAC) of the salivary gland are rare tumours. Here the authors report that BCA and BCAC patients possess distinct genomic profiles despite histopathological similarities, and identify a recurrent FBXW11 missense mutation (p.F517S) which leads to accumulation of β-catenin in BCA and higher expression of Wnt/β-catenin targets.

Analyses of the TRACERx study unveil the relationship between tissue morphology, the underlying evolutionary genomic landscape, and clinical and anatomical relapse risk of lung adenocarcinomas.

The GLASS Consortium studies the evolutionary trajectories of 222 patients with a diffuse glioma to aid in our understanding of tumour progression and treatment failure

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.