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In this Expert Recommendation, a working group integrating diverse perspectives presents a comprehensive overview of the clinical relevance and applicability of the Cutaneous Lupus Erythematosus Disease Area and Severity Index (CLASI) and the rationale for its use as an outcome measure in clinical trials, addressing a long-standing roadblock in the development of new drugs for CLE.

Mutation detection in cfDNA is crucial for cancer diagnosis and monitoring. Here, the authors develop an Enzymatic Cleavage-directed Single Nucleotide Variant Sequencing by integrating Argonaute-mediated cleavage and stem-loop DNA-initiated PCR amplification for cfDNA mutation detection.

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.

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.

Selection drives divergence between species, contributing to speciation, while simultaneously favoring extensive diversity that is maintained across populations within a species. This study demonstrates how the selection landscape is complex and multidimensional across three species of Phlox flowers.

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

Optical spin defects in semiconductors are crucial for applications, but it is often difficult to establish their microscopic origin. A mechanism for the spin behaviour of a family of bright emitters in hexagonal boron nitride has now been identified.

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.

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.

A genome-wide CRISPR screen helps to identify the Epstein–Barr virus receptor desmocollin 2 for primary epithelial cell infection. Additional infection assays revealed that desmocollin 3 also aids infection.

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

Persisting symptoms after concussion (PSaC) present a complex neuropsychiatric challenge with limited treatment options due to inconsistent neuroimaging findings. Here the authors employ a multi-analytic approach to identify the salience network as a core dysfunction hub in PSaC, proposing specific cortical regions as potential targets for personalized neuromodulation therapies.

The pathogenic bacterium Pseudomonas aeruginosa can be found in vacuoles and cytoplasm within infected cells. Here, Schator et al. show that extracellular bacteria use a type-III secretion system to induce Ca²⁺ influx into host cells and promote vacuole escape of intracellular bacteria and in vivo dissemination.

Analysis of multiple cohorts of patients with melanoma demonstrates a positive association between cytomegalovirus serostatus and overall survival in patients treated with monotherapy but not combination immune checkpoint blockade, as well as delayed onset of immune-related adverse events across both treatment types, as well as delayed development of metastatic disease in seropositive patients.

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.

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.

Federated ML (FL) provides an alternative to train accurate and generalizable ML models, by only sharing numerical model updates. Here, the authors present the largest FL study to-date to generate an automatic tumor boundary detector for glioblastoma.

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 genome-wide association study including over 76,000 individuals with schizophrenia and over 243,000 control individuals identifies common variant associations at 287 genomic loci, and further fine-mapping analyses highlight the importance of genes involved in synaptic processes.

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.

John Chambers, Jaspal Kooner, Pim van der Harst, Shyong Tai, Paul Elliott, Jiang He, Norihiro Kato and colleagues performed a genome-wide association study of blood pressure phenotypes in individuals of European, East Asian and South Asian ancestry. They find trait-associated SNPs at 12 loci, some of which are associated with methylation at nearby CpG sites.

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.

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.

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.

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.

LINE-1 activity was quantified in a large, pan-cancer dataset, finding locus-specific heterogeneity and new associations using a computational pipeline. A mathematical mediation model of p53 and L1 interactions was inferred. Somatic retrotransposition was seen in Li-Fraumeni Syndrome with heritable TP53 mutations.

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.

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 catalogue of predicted loss-of-function variants in 125,748 whole-exome and 15,708 whole-genome sequencing datasets from the Genome Aggregation Database (gnomAD) reveals the spectrum of mutational constraints that affect these human protein-coding genes.

Isotopic constraints reveal that soil nitrogen contribution to global plants is temperature-controlled, not by precipitation or nitrogen deposition. As temperatures rise, inorganic nitrogen becomes more important and preferred over organic nitrogen.

The authors defined a roadmap for investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders. Their proof-of-concept study using the largest available common variant data sets for schizophrenia and volumes of several (mainly subcortical) brain structures did not find evidence of genetic overlap.

Multifilament surgical sutures functionalized with a conductive polymer and incorporating pledgets with capacitive sensors operated via radiofrequency identification can be used to monitor physicochemical states of deep surgical sites.

East Asia contains “relict” plant species that persist under narrow climatic conditions after once having wider distributions. Here, using distribution records coupled with ecological niche models, the authors identify long-term stable refugia possessing past, current and future climatic suitability favoring ancient plant lineages.

Stratified medicine promises to tailor treatment for individual patients, however it remains a major challenge to leverage genetic risk data to aid patient stratification. Here the authors introduce an approach to stratify individuals based on the aggregated impact of their genetic risk factor profiles on tissue-specific gene expression levels, and highlight its ability to identify biologically meaningful and clinically actionable patient subgroups, supporting the notion of different patient ‘biotypes’ characterized by partially distinct disease mechanisms.

In the phase 2 HUDSON study, patients with advanced non-small-cell lung cancer received anti-PD-L1 combined with biomarker-guided therapy targeting ATR kinase, PARP, STAT3 or CD73, leading to encouraging clinical benefit in response to combination of the ATR kinase inhibitor ceralasertib with durvalumab.

An increase in shigellosis cases among men who have sex with men in the United Kingdom has been linked to an extensively drug-resistant strain of Shigella sonnei. In this genomic epidemiology study, the authors investigate the genetic basis, evolutionary history, and international dissemination of the outbreak strain.

Electrochemical research often requires stringent combinations of experimental parameters that are demanding to manually locate. Here the authors report an autonomous electrochemical platform that implements an adaptive, closed-loop workflow for mechanistic investigation of molecular electrochemistry.

The GREGoR consortium provides foundational resources and substrates for the future of rare disease genomics.

KRAS is commonly mutated at codon 12 in several cancer types, offering a unique opportunity for the development of neoantigen-targeted immunotherapy. Here the authors present a pipeline for the prediction, identification and validation of HLA class-I restricted mutant KRAS G12 peptides, leading to the generation of mutant KRAS-specific T cell receptors for adoptive T cell immunotherapy.

A report from the Australian Acute Care Genomics programme shows that the integration of rapid whole-genome sequencing and multi-omic analyses informs diagnoses and treatment decisions in a prospective cohort of 290 critically ill infants and children.

Genome-wide association meta-analyses identify more than 350 loci associated with atrial fibrillation. A polygenic score derived from these results improves atrial fibrillation risk prediction compared to published clinical and polygenic scores.

In geographic atrophy, a type of macular degeneration, retinal pigmented epithelium (RPE) cells die. This paper finds that DICER1, which processes miRNA precursors, is reduced in RPE from individuals with geographic atrophy. Cell death is not due to loss of miRNA processing, however; rather, the absence of DICER1 allows accumulation of pathological Alu repeat sequence RNAs. This work reveals a novel function of Dicer in degrading Alu RNAs.

The DANIO-CODE consortium leverages a large-scale multiomic dataset to improve zebrafish genome annotation. They identify ~140,000 cis-regulatory elements throughout development and perform a comparison with the mouse regulatory landscape.