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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.

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 shows that aboveground plant diversity is only weakly related to belowground mycorrhizal fungal diversity, although these relationships can be stronger at regional scales. Therefore, conservation efforts centered only on plant diversity may overlook critical fungal diversity hotspots.

Cryo-electron and atomic force microscopy shed light on how fibrils of the protein tau, which accumulate in the brain of people with Alzheimer’s disease, can be disassembled by short peptides, providing a possible route towards developing treatments.

A device architecture based on indium arsenide–aluminium heterostructures with a gate-defined superconducting nanowire allows single-shot interferometric measurement of fermion parity and demonstrates an assignment error probability of 1%.

Epigenome editing programs gene silencing without inducing DNA breaks but challenges in delivery into human cells limit its broader use. Here, the authors present the RENDER platform, which uses virus-like particles to enable CRISPR-based epigenome editing for durable gene silencing in human cells.

A multilevel pattern-learning framework investigates the effects of genome-wide protein-coding mutations on brain organization and behaviour in the Adolescent Brain Cognitive Development cohort.

Cell type labelling in single-cell datasets remains a major bottleneck. Here, the authors present AnnDictionary, an open-source toolkit that enables atlas-scale analysis and provides the first benchmark of LLMs for de novo cell type annotation from marker genes, showing high accuracy at low cost.

Structural analyses of antibody-virus complexes offer critical insights into immune recognition mechanisms. In this report, we present how a patient-derived IgG recognizes a quaternary epitope on EEEV particles through strictly bivalent interactions.

Resistance to first line treatment is a major hurdle in cancer treatment, that can be overcome with drug combinations. Here, the authors provide a large drug combination screen across cancer cell lines to benchmark crowdsourced methods and to computationally predict drug synergies.

In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

The impact of the DART spacecraft on the asteroid Dimorphos is reported and reconstructed, demonstrating that kinetic impactor technology is a viable technique to potentially defend Earth from asteroids.

The SLFN14 nuclease cleaves RNA for translational regulation through a poorly defined mechanism. Here the authors report a cryo-EM structure of SLFN14 to reveal RNA interfaces, demonstrate broad site-specificity in the absence of tRNA modifications, and highlight analogy to prokaryotic nucleases.

Genetic diversity between clinical and environmental fungal isolates of Aspergillus flavus is poorly studied. Here, the authors analysed genomic data from a global set of clinical and environmental A. flavus isolates and report that clinical prevalence is associated with population structure.

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.

A clinical trial using continuous glucose monitoring found that a Dietary Approaches to Stop Hypertension (DASH)-style diet tailored for diabetes reduced hyperglycemia and improved glucose control compared to a typical American diet in patients with type 2 diabetes.

Chronic infection with SARS-CoV-2 leads to the emergence of viral variants that show reduced susceptibility to neutralizing antibodies in an immunosuppressed individual treated with convalescent plasma.

Sera from vaccinated individuals and some monoclonal antibodies show a modest reduction in neutralizing activity against the B.1.1.7 variant of SARS-CoV-2; but the E484K substitution leads to a considerable loss of neutralizing activity.

Meta-analysis of genome-wide association studies on Alzheimer’s disease and related dementias identifies new loci and enables generation of a new genetic risk score associated with the risk of future Alzheimer’s disease and dementia.

In this study, Aggarwal and colleagues perform prospective sequencing of SARS-CoV-2 isolates derived from asymptomatic student screening and symptomatic testing of students and staff at the University of Cambridge. They identify important factors that contributed to within university transmission and onward spread into the wider community.

A two-step Bayesian model improves small area population estimates by integrating health campaign data or household surveys with incomplete satellite settlement maps. It reduces errors by up to 73%, offering a practical solution in regions where traditional methods face limitations.

Osteosarcomas (OS) are aggressive bone tumors which have no actionable recurrent driver mutations. Here the authors identify aberrant expression of EZHIP in a subset of OS patients as an oncogenic driver, which exhibits vulnerability to epigenetic therapies.

Development of targeted MYC inhibitors for cancer therapy remains challenging. Here, the authors design an mRNA medicine which downregulates MYC gene transcription via epigenetic modification of MYC regulatory elements, showing significant antitumor activity in preclinical models of hepatocellular carcinoma.

mRNA medicines hold enormous promise for drugging targets outside the reach of classic small molecules. Here, the authors develop a modular platform to design programmable mRNA therapeutics that act by modifying epigenetic state.

Using well-calibrated statistical methods the authors jointly analyze Undiagnosed Diseases Network genomes, identifying known and novel disease genes. Software is publicly available to support future cross-cohort rare disease discovery efforts.

Examining drivers of the latitudinal biodiversity gradient in a global database of local tree species richness, the authors show that co-limitation by multiple environmental and anthropogenic factors causes steeper increases in richness with latitude in tropical versus temperate and boreal zones.

LRRC15-positive cancer-associated fibroblasts constitute a pivotal axis in tumorigenesis and are potential therapeutic targets to improve responses to immune checkpoint blockade.