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In a large, partially prospective cohort of patients with molecularly profiled and clinically annotated meningioma, the extent of surgical resection and radiotherapy (RT) response correlate with molecular classification, which can be used in a molecular model to predict clinical outcomes in response to RT.

Sears and colleagues found that ongoing replication stress pathways and T cell clonal responses differentiate liver and lung recurrence and are associated with different clinical outcomes in the context of pancreatic ductal adenocarcinoma.

Species synchrony is considered a major mechanism of biodiversity–ecosystem stability relationships. Here, by combining theory, modelling and empirical work, the authors show that with time series length species synchrony decreases and its relationship with diversity switches from positive to negative.

Using data from the CoVPN 3008 study, the authors show that the neutralizing antibody correlate of risk holds in people living with HIV. However, the nAb correlate was weaker and shorter-lived in a vaccine-immunity versus hybrid-immunity population.

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.

Inventory data from 90 lowland Amazonian forest plots and a phylogeny of 526 angiosperm genera were used to show that taxonomic and phylogenetic diversity are both predictive of wood productivity but not of biomass variation.

Evidence synthesized from 252 large-herbivore exclusion studies suggests that herbivore-induced change in dominance, independent of site productivity or precipitation, best predicts herbivore effects on biodiversity in grassland and savannah sites.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

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.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

Extracellular vesicles (EVs), a diverse range of membrane-delimited particles, have multiple cellular functions and, when released by cancer cells, can promote tumour growth and metastatic dissemination. The authors of this Review describe advances in the development of EVs as biomarkers and cancer therapeutics, focusing on clinical translation of EVs into diagnostic and therapeutic clinical tools.

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.

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.

The quark structure of the f₀(980) hadron is still unknown after 50 years of its discovery. Here, the CMS Collaboration reports a measurement of the elliptic flow of the f₀(980) state in proton-lead collisions at a nucleon-nucleon centre-of-mass energy of 8.16 TeV, providing strong evidence that the state is an ordinary meson.

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

Cities may host surprisingly diverse and functionally distinct biological communities. This global analysis on 5302 vertebrate and invertebrate species finds evidence of 4 trait syndromes in urban animal assemblages, modulated by spatial and geographic factors.

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 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.

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.

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.

Neoadjuvant therapies with dual anti-HER2 blockade have proven effective in HER2⁺ breast cancer treatment. Here, the authors develop a score that integrates antigen receptor repertoire features and clinical parameters to predict prognosis after anti-HER2 neoadjuvant treatments.

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 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.

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.

A high-bandwidth neuromotor interface offers performant out-of-the-box generalization across people.

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.

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.

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.

Here, via applying metagenomics and metabolomics analyses, the authors show that fecal microbiota composition and microbiota-derived metabolites predict the trajectory of respiratory function and death in patients with severe SARS-Cov-2 infection, suggesting the gut-lung axis to play an important role in the recovery from COVID-19.

Analysis of human genotypes and 16S microbiome data of 18,473 individuals from 25 cohorts through a genome-wide association study, a phenome-wide association study and Mendelian randomization identifies host genetic and microbial trait associations.

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.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

Malignant cells with mesenchymal features display increased chromatin accessibility, particularly in the pericentromeric and centromeric regions, in turn resulting in delayed mitosis and catastrophic cell division.

As a moist atmosphere warms, it will reach a limit after which it is unable to radiate incoming solar radiation back to space, and a runaway greenhouse will occur. Calculations suggest that this limit is lower than previously thought and, for a water-saturated atmosphere, a runaway greenhouse can occur under present-day solar radiation.

Levantine Phoenicians made little genetic contribution to Punic settlements in the central and western Mediterranean between the sixth and second centuries bce; instead, the Punic people derived most of their ancestry from a genetic profile similar to that of Sicily and the Aegean, with notable contributions from North Africa as well.

Analysing >1,700 inventory plots from the Amazon Tree Diversity Network, the authors show that the majority of Amazon tree species can occupy floodplains and that patterns of species turnover are closely linked to regional flood patterns.

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.

Managing power exhaust in fusion reactors is a key challenge, especially in compact designs for cost-effective commercial energy. This study shows how alternative divertor configurations improve exhaust control, enhance stability, absorb transients and enable independent plasma regulation.

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.

Computational and experimental analyses of the effects of spatial partitioning in microbial communities identify correlations between biodiversity and spatial context, offering experimental guidance for maintaining microbial community structures.