Search

TREM2 is an important AD risk factor playing essential roles in the microglial response to amyloid pathology. Here, authors show using a TREM2 reporter mouse that TREM2 levels are critical for efficacy of TREM2 agonism informing current clinical efforts.

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.

IκBζ is a rather unknown transcriptional co-factor of NF-κB. Here, the authors show that constitutive IκBζ expression in a subgroup of patients with melanoma drives immunotherapy resistance and enhanced tumor growth.

Wide-bandgap perovskite solar cells suffer from instability under rapid thermal cycling. Here, Sun et al. investigate the degradation mechanism, showing that temperature-induced structural strain, phase transition, and increased non-radiative defects drive the degradation processes.

CFAP20 has a key role in rescuing RNA polymerase II complexes that have arrested during DNA transcription, limiting the accumulation of R-loops and preventing collisions between the transcription and replication machinery.

How landscapes are arranged affects soil pathogenic fungi worldwide. The authors reveal the global pattern and pronounced scale-dependency of landscape complexity and land-cover quantity on soil pathogenic fungal diversity.

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.

The microbiota influences the cytotoxicity of chemotherapy in patients with colorectal cancer but the impact on metastatic relapse is less clear. Here, the authors report that chemotherapy-induced intestinal mucositis induces systemic immune changes via production the microbial metabolite, indole-3-propionic acid (IPA), preventing metastases.

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

In vivo chimeric antigen receptor (CAR)-T cell engineering uses targeted delivery systems to generate CAR-T cells directly in patients, bypassing ex vivo manufacturing. This Review examines emerging viral and lipid nanoparticle platforms, early clinical proof of concept and potential applications beyond cancer.

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.

Immunotherapy is at an inflection point. After three decades of accelerating progress, immunotherapy is entering the realm of in vivo engineering. This Comment discusses the potential of in vivo engineering in addressing challenges met by ex vivo engineering efforts. Per a recent workshop organized by the National Institutes of Health, we highlight progress, the platform technologies fueling it, and elements of a road map and challenges ahead.

Ferrimagnets possess multiple spin sub-lattices resulting in a complex magnon band structure and subtle spin transport across interfaces. Here, the authors show how the spin Seebeck effect, the thermal generation of pure spin current, may be an effective tool to study these magnetic excitations.

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.

Pietro Zambon and colleagues report a new hybrid-pixel detector for 100 keV cryo-electron microscopy. By using a gallium arsenide sensor and a super-resolution algorithm, they achieve high imaging performance, paving the way for more accessible high-resolution structural biology.

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.

Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

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.

Pathogenic BRCA2 truncating variants in heterozygosis drive distinct cancer-linked mechanisms. Here the authors show that one causes PARPi sensitivity and HR loss via haploinsufficiency, while another expresses a truncated protein that rewires transcription by hijacking PCAF, reducing H4 acetylation and NF-κB activity.

H3K4 methylation is required for defining active chromatin states in Xenopus embryos, ensuring faithful zygotic genome activation and successful embryonic 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.

Urinary albumin-to-creatinine ratio (UCAR) is associated with various clinical outcomes such as kidney disease and cardiovascular disease. Here, the authors report genome-wide meta-analysis in over 500,000 individuals and find 68 UACR loci, followed by statistical fine-mapping, gene prioritization and experimental validation in flies.

Federated learning (FL) algorithms have emerged as a promising solution to train models for healthcare imaging across institutions while preserving privacy. Here, the authors describe the Federated Tumor Segmentation (FeTS) challenge for the decentralised benchmarking of FL algorithms and evaluation of Healthcare AI algorithm generalizability in real-world cancer imaging datasets.

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.

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.

Timothy Frayling, Joel Hirschhorn, Peter Visscher and colleagues report a meta-analysis of genome-wide association studies for adult height in 253,288 individuals. They identify 697 variants in 423 loci significantly associated with adult height and find that these variants cluster in pathways involved in growth and together explain one-fifth of the heritability for this trait.

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.

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.

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.

Graphene possesses a nonlinear optical response arising from its electronic dispersion. Here, the authors measure the response of graphene to an ultrafast optical field and provide an explanation of the quantum dynamics of Dirac carriers mediating the material’s nonlinear response.

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.

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.

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.

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.

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.

An online approach for the DNA methylation-based classification of central nervous system tumours across all entities and age groups has been developed to help to improve current diagnostic standards.

Artificial intelligence (AI) system is known to improve dermatologists’ diagnostic accuracy for melanoma. This group applies the eye-tracking technology on dermatologists when diagnosing dermoscopic images of melanomas and reports improved balanced diagnostic accuracy when using an X(explainable) AI system comparing to the standard one.

Micropatterned nitinol (a nickel titanium alloy) thin films loaded with human CAR-T cells and implanted into tumours foster the expansion of the cells and extend animal survival in mouse models of human tumours.

Rudalska et al. describe a novel class of p38α inhibitors with increased target residence time. They explore the drugs’ specificity, pharmacokinetics and toxicity profile and show that they are efficacious in the context of colorectal cancer.