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Reprograming the tumor microenvironment is a promising strategy to overcome resistance to immune checkpoint inhibitors (ICI) in patients with malignant melanoma. Here, the authors report a phase 1/2 study evaluating the combination of LOAd703 (viral-vector encoding CD40L and 4-1BBL) with atezolizumab (anti-PD-L1) in patients with ICI-resistant, malignant melanoma.

Mass spectrometry (MS)-based proteomics is increasingly central to systems biology. Here, the authors present a high-throughput, multi-organ workflow that profiles 11,472 proteins in 507 mouse samples, enabling rapid, system-level evaluation of drug efficacy and toxicity.

cellSTAAR advances noncoding rare variant association analysis by integrating single-cell genomics data.

The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

Estimates from the Global Burden of Disease study reveal declines in chronic respiratory disease mortality between 1990 and 2023—especially during the COVID-19 pandemic—but the burdens on people affected remain substantial.

Global Burden of Disease estimates show that between 1990 and 2023, the prevalence and burden of drug use disorders, inclusive of amphetamine, cannabis, cocaine and opioid use, have been increasing in high-income countries, particularly in the USA.

The STAR experiment at the Relativistic Heavy Ion Collider at Brookhaven National Laboratory demonstrates evidence of spin correlations in \(\Lambda \bar{\Lambda }\) hyperon pairs inherited from virtual spin-correlated strange quark–antiquark pairs during QCD confinement.

Multi-trait genome-wide analyses identify variants associated with comorbid lung diseases. Polygenic scores leveraging shared components of heritable risk improve prediction of asthma, chronic obstructive pulmonary disease and lung cancer in a multi-ancestry cohort.

A combination of high-resolution spatial imaging, spatial proteomics and transcriptional data reveals sparse and heterogeneous bacterial signals in gliomas and brain metastases.

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

Therapeutic options for patients with renal medullary carcinoma (RMC) are limited. Here the authors report the results of a phase II clinical trial of anti-PD1 nivolumab plus anti-CTLA4 ipilimumab in RMC, associating the activation of a myeloid mimicry program in tumor cells to the rapid disease progression and hyper-progression observed in treated patients.

Chronic care manages long-term, progressive conditions, while acute care handles short-term ones. Here, authors show chronic conditions account for most of the global health burden, with 68% of DALYs and 93% of YLDs attributed to chronic care needs.

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.

Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

Affinity-proteomics platforms often yield poorly correlated measurements. Here, the authors show that protein-altering variants drive a portion of inter-platform inconsistency and that accounting for genetic variants can improve concordance of protein measures and phenotypic associations across ancestries.

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.

This study uses single-nucleus RNA sequencing to analyze lung tissue from 141 individuals with chronic obstructive pulmonary disease. Distinct patterns of spatially resolved changes in cell composition and cell states that correlate with clinical features are highlighted.

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.

Perineural invasion and cancer-induced nerve injury of tumour-associated nerves are associated with poor response to anti-PD-1 therapy, which can be reversed by combining anti-PD-1 therapy with anti-inflammatory interventions.

Analysing the causal links of gene expression and protein abundance on type 2 diabetes risk in blood and seven tissues related to the disease from individuals of four ancestries, the authors advance our understanding of the genetic architecture of type 2 diabetes

Application of multiancestry and ensemble-based approaches yields improved polygenic risk prediction models for breast cancer and its subtypes among women of African ancestry.

By combining satellite observations with ground-based data and expert validation, this analysis demonstrates considerable misestimation of grassland extent and thereby carbon stock estimates in previous global assessments based on remote sensing.

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.

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.

Researchers studied the blood-based metabolome of over 23,000 people from ten ethnically diverse cohorts. They identified 235 metabolites associated with future risk of type 2 diabetes (T2D). By integrating genetic and modifiable lifestyle factors, their findings provide insights into T2D mechanisms and could improve risk prediction and inform precision prevention.

A multiancestry phenome-wide analysis of copy number variants in the UK Biobank genomes increases power to detect genetic associations with complex traits across human populations.

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.

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.

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.

Ribas and colleagues report the results of a phase 2 clinical trial of neoadjuvant PD-1 blockade in patients with surgically resectable desmoplastic melanoma.

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.

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.

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.

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.

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.

De novo and inherited dominant variants in genes encoding U4 and U6 small nuclear RNAs are identified in individuals with retinitis pigmentosa. The variants cluster at nucleotide positions distinct from those implicated in neurodevelopmental disorders.

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.

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.

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 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.

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 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.

Treekitkarnmongkol, Katayama, Sankaran et al. identify RASH3D19 as a downstream target for KRAS signalling through miR-301a, which in turn leads to RAS activation and tumorigenesis. Targeting RASH3D19 inhibits growth of KRAS-mutant tumour cells in vivo.

Variants in the PSMC5 gene impair proteasome function and cellular homeostasis, altering brain development in children. This study reveals underlying molecular mechanisms contributing to this neurodevelopmental phenotype, and suggests therapeutic leads for neurodevelopmental proteasomopathies.

Dendritic cells (DCs) are required to establish thymic central tolerance. Here Srinivasan et al. use single-cell transcriptomics to define thymic conventional dendritic cell (cDC) subsets and find that CD8⁺ single-positive thymocytes modulate the thymus environment to regulate plasmacytoid DC and cDC2 homeostasis and interferon signatures in DCs, while CD4⁺ single-positive thymocytes regulate cDC1 activation via cognate and CD40L–CD40 interactions.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

Here, the authors identify the microbiota-derived corisin as a driver of diabetic kidney fibrosis via cellular aging and show that targeting corisin with a monoclonal antibody alleviates disease in mice, suggesting a potential therapeutic avenue.

The ALICE Collaboration provides details on the microscopic mechanism that ends up creating antideuteron in high-energy proton–proton collisions at the Large Hadron Collider.