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A large-scale study on the replicability of claims from social and behavioural science journals reports that about half of the results replicate in the same patterns as the original study.

A study of reproducibility in a stratified random sample of 600 papers published from 2009 to 2018 in 62 journals spanning the social and behavioural sciences finds higher reproducibility among more recent papers and papers from journals that require data sharing.

Emmett and colleagues evaluate the frequency, magnitude and clinical significance of early prostate-specific membrane antigen (PSMA) upregulation in patients with metastatic castrate-resistant prostate cancer treated with enzalutamide with or without ¹⁷⁷Lu-PSMA-617.

ATF6α activation in human and preclinical models of hepatocellular carcinoma is significantly associated with an aggressive tumour phenotype characterized by reduced survival, glycolytic reprogramming and local immunosuppression.

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.

The authors propose an explainable consciousness indicator using deep learning to quantify arousal and awareness under sleep, anesthesia, and in patients with disorders of consciousness.

Many viral vaccine antigen candidates are transmembrane glycoproteins, and their development requires methods which allow their biophysical characterization. Here authors present an optimized nanodisc assembly platform which provides reproducible, scalable, and accurate replication of the vaccine candidates for detailed analysis.

In this Expert Recommendation, Bowtell and colleagues outline progress made over the last decade in the research and treatment of high-grade serous carcinoma as well as current challenges and research priorities for the coming years to reduce incidence and improve patient outcomes.

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).

Microglial states throughout remyelination are incompletely understood. Here, the authors show that microglia form several states during the early stages of remyelination that coalesce into a partially resolved state that is dysregulated with age.

A CRISPR knock-in strategy that uses endogenous gene regulatory mechanisms can engineer ‘armoured’ CAR T cells that secrete proinflammatory cytokines directly within a tumour without causing toxicity, leading to prolonged survival in mice.

Efforts to identify microbial signatures of response to immune checkpoint blockade suggest that strain-level associations may be cancer type agnostic but cancer therapy specific.

The lowest-frequency gravitational wave background may be shaped by supermassive black hole binaries that scatter nearby stars or dark matter. In this case, the NANOGrav 15-year dataset favours dense galactic centres with 10⁶ solar masses per cubic parsec.

Lung adenocarcinomas bearing the ID2 mutational signature display increased LINE-1 retrotransposon activity, which contributes to their fast evolutionary dynamics and aggressive phenotype.

Here, as part of the Sherlock-Lung study, the authors profile the microbiomes of 940 lung cancers in never smokers finding no significant associations with demographic and clinical features, suggesting lung bacteria are unlikely to have a sizable role in lung cancer.

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.

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.

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.

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.

Here the authors show that mitochondrial RNA leaks into the cytosol of senescent cells through sublethal apoptosis, driving inflammation. Blocking this pathway improves outcomes in Metabolic Dysfunction-Associated Steatohepatitis.

An analysis of data from the Sherlock-Lung study provides insight into the mutational processes that contribute to lung cancer in never smokers, and looks at the possible role of factors such as air pollution and passive smoking.

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 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.

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 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.

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.

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.

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.

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.

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.

T cell responses can be generated to either pathogen infection or from priming with a vaccine. Here the authors compare T cell generation, phenotype and single cell transcriptome of participants vaccinated with a mpox vaccine or infected with the virus showing that the virus induced T cells showed more effective function and phenotype.

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.

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.

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.

A consensus cell type atlas for the fly brain provides both an intellectual framework and open-source toolchains for brain-scale comparative connectomics.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

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

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.

A genome-wide study by the Long COVID Host Genetics Initiative identifies an association between the FOXP4 locus and long COVID, implicating altered lung function in its pathophysiology.

We show that gain-of-function cancer mutations in the KBTBD4 E3 ligase promote neodegradation of substrates via a shape-complementarity-based mechanism, which converges with the mechanism of action of the UM171 molecular glue degrader and can be blocked by HDAC1/2 inhibitors.

In a post-hoc analysis of circulating tumor DNA (ctDNA) features from patients with metastatic prostate cancer treated with [¹⁷⁷Lu]Lu–PSMA-617 or cabazitaxel in the randomized phase 2 TheraP trial, low ctDNA levels at baseline were predictive of clinical benefit from [¹⁷⁷Lu]Lu–PSMA-617, and PTEN or ATM alterations were identified as potential biomarkers of response.

UM171 promotes corepressor degradation by acting as a molecular glue to induce KBTBD4–HDAC1/2 interactions with the help of inositol hexakisphosphate.