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A comparative analysis of trait data combined with a mathematical model suggests that dietary specialization drives selection towards the smallest and largest body sizes in terrestrial mammals, as generalists outcompete specialists at intermediate sizes.

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.

Walmsley and colleagues report that systemic hypoxia induces persistent loss of histone H3K4me3 marks and epigenetic reprogramming in neutrophil progenitors, resulting in long-term impairment of subsequent neutrophil effector functions.

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.

Cell state plasticity of neuroblastoma cells is linked to therapy resistance. Here, the authors develop a transcriptomic and epigenetic map of indisulam (RBM39 degrader) resistant neuroblastoma, demonstrating bidirectional cell state switching accompanied by increased NK cell activity, which they therapeutically enhance by the addition of an anti-GD2 antibody.

The genetic and epigenetic predisposition of bilateral Wilms tumour remains to be investigated. Here, the authors perform multiomics analysis and identify the predominant genetic and epigenetic events associated with bilateral Wilms tumour predisposition.

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.

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.

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.

Sepsis in patients is often accompanied by thrombocytopenia, but the exact role of platelets in the pathogenesis of septicaemia has not been elucidated. Here, Xiang et al. present evidence that platelets may act as anti-inflammatory cells and protect from septic shock.

A meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

Ultrasound examination significantly relies on manual operation, which has significant downsides. The authors present UltraBot, a carotid ultrasound robot capable of automated scanning, measurement, and plaque screening, and build an embodied foundation model using deep learning for intelligent, high-precision ultrasound.

Whether multimorbidity accelerates brain Aβ deposition in humans remains largely unknown. Here, the authors demonstrate that higher self-reported multimorbidity burden predicts increased brain Aβ accumulation rates in the ADNI cohort.

The genomic and immune landscape of pre-invasive lung adenocarcinoma is poorly understood. Here, the authors perform exome and transcriptome sequencing on precursor legions and invasive lung adenocarcinomas, identifying recurrently mutated genes in pre/minimally invasive cases, and arm level alteration events linked to immune infiltration.

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.

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.

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.

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.

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.

Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.

A trans-ancestry meta-analysis of GWAS of glycemic traits in up to 281,416 individuals identifies 99 novel loci, of which one quarter was found due to the multi-ancestry approach, which also improves fine-mapping of credible variant sets.

Dihydrobenzofurans and indolines are common substructures in medicines and natural products. Herein, the authors report a palladium-catalyzed [3 + 2] (hetero)annulation proceeding in an anti-selective fashion and enabling direct access to these valuable heterocycles with broad reaction scope.

Black phosphorus is a graphene-like material that can be harnessed for two-dimensional electronic devices. Here, Xiang et al. demonstrate that adding caesium carbonate or molybdenum trioxide can significantly enhance the electron or hole conduction, respectively, of this promising material.

Multi-omic analysis of the developing mouse kidney shows strong sex-dependent differences in gene expression during development and aging. These differences are likely mediated by sex hormones.

Polygenic risk scores can help identify individuals at higher risk of type 2 diabetes. Here, the authors characterise a multi-ancestry score across nearly 900,000 people, showing that its predictive value depends on demographic and clinical context and extends to related traits and complications.

Federated learning, a method for training artificial intelligence algorithms that protects data privacy, was used to predict future oxygen requirements of symptomatic patients with COVID-19 using data from 20 different institutes across the globe.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

Fagaceae are diverse family including trees of ecological and economic importance. This phylogenomic analysis of nuclear and plastid genomes reconstructs evolutionary history and finds evidence of multiple adaptive introgression events in this important plant family.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

FHL1A is a crucial host factor for alphavirus infection but its impact on pathogenesis is unclear. Here, the authors use a FHL1−/− knockout mouse model to show that the FHL1 splice variant impacts arthritis and myositis after chikungunya or o’nyong-nyong infections but not Ross River or mayaro virus infection.

This study quantifies heat exposure and its impact on construction worker productivity in Taiwan. It finds that heat stress in the labor-intensive construction sector carries a substantial economic burden.

R9AP is a key receptor for entry of Epstein–Barr virus into human epithelial and B cells, and interacts directly with the viral glycoprotein gH/gL complex to mediate virus–host membrane fusion.

The availability of relevant animal models that can recapitulate high-risk hepatoblastoma will help to better understand its pathogenesis. Here the authors report and characterize a hepatocyte-specific, MYC-driven hepatoblastoma mouse model and show it recapitulates the human hepatoblastoma pathophysiology.

The progress in pre-clinical drug discovery for Wilms tumor (WT) is limited by a lack of disease models. Here, the authors develop 45 heterotopic WT patient-derived xenografts including several anaplastic models that recapitulate the biological heterogeneity of WT, and propose this as a resource for evaluating future therapeutics for WT.