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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.

From 2014–2017, marine heatwaves caused global mass coral bleaching, where the corals lose their symbiotic algae. The authors find, this event exceeded the severity of all prior global bleaching events in recorded history, with approximately half the world’s reefs bleaching and 15% experiencing substantial mortality.

Critical life-history traits, like growth and body size, can influence species’ survival. Using more than 7500 observations, this study suggests that the growth performance of marine fish has declined by 9% over the past century as a result of commercial size-based harvesting.

Genes encoding key epigenetic regulators, including Lysine Demethylase 6A (KDM6A), are frequently mutated in bladder cancer. Here, the authors show that loss of KDM6A promotes formation of extrachromosomal circular DNA (eccDNA), genomic instability, and metabolic reprogramming, driving resistance to cisplatin chemotherapy while simultaneously enhancing sensitivity to immune checkpoint inhibitors.

Meningiomas are common brain tumors with variable behavior. This study reveals high STING expression across multiple cell types in the meningioma microenvironment. STING agonism triggers tumor cell death via programmed necrosis and pyroptosis, enhancing survival in preclinical models.

Transcriptomic and clinical data analyses from multiple cohorts of patients with cancer receiving immunotherapy find that PD-1 blockade potentiates tumor-specific IgG1 plasma cell responses that complement cellular immunity and contribute to clinical benefit.

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

STING–type-I interferon pathway regulates the immunogenicity of several cancer types, including head and neck squamous cell carcinoma. Here the authors describe that glutamine metabolism in the tumour microenvironment dampens the STING–type-I interferon pathway by epigenetically silencing the expression of BATF2, which functions as a tumour suppressor.

An optical archival storage technology based on femtosecond laser direct writing in glass addresses the practical demands of archival storage.

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.

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

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.

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.

mRNA vaccines targeting SARS-CoV-2 also sensitize tumours to immune checkpoint inhibitors.

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.

KRAS mutations are keenly associated with pancreatic ductal adenocarcinoma and represent a potential therapeutic target. Here the authors present the findings from a phase I clinical trial testing pooled KRAS mutant peptides in combination with immune checkpoint blockade in patients with resected pancreatic ductal adenocarcinoma.

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.

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.

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.

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.

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

Engineered mucus-tethering bispecific nanobodies neutralize and entrap viruses to enhance mucosal immunity, preventing influenza infection and limiting SARS-CoV-2 transmission.

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.

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.

Inactivating PPP2R1A mutations correlate with better survival after immune checkpoint blockade in patients with ovarian clear cell carcinoma, suggesting that targeting the phosphatase 2A (PP2A) pathway may represent an effective startegy for improving responses to immunotherapy.

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.

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

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).

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.

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.

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.

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 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.

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 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.

Highly pathogenic avian influenza A H5N1 clade 2.3.4.4b virus has caused outbreaks in dairy cattle and cases in humans in the United States. Here, the authors assess levels of pre-existing cross-reactive antibodies to the epidemic virus strain in human serum samples collected in the United States.

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.

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.

Climate change can alter when and how animals grow, breed, and migrate, but it is unclear whether this allows populations to persist. This global study shows that shifts in seasonal timing are key to helping vertebrate species maintain population growth under global warming.

To simulate physical systems on a quantum computer, their degrees of freedom must be encoded into qubits. This Review assesses the different methods that exist to allow quantum calculation of fermionic systems.

RNAi therapy has huge potential but effective delivery to target location is a major issue. Here, the authors report on the delivery of RNAi to tumors using self-agglomerating nanohydrogels that can overcome the different delivery barriers and supply multiple RNAi payloads.

Analysis of the immune microenvironment of diffuse B cell lymphomas using spatial transcriptomics, proteomics and genomics highlights discrete cellular niches with divergent patterns of cell–cell communication that contribute to the phenotypic heterogeneity of both tumor and immune cells.