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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.

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 three-dimensional topological insulator nanowire is predicted to display gapped one-dimensional surface transport properties. Here, the authors demonstrate this experimentally, observing characteristic quantum oscillations in conductance in (Bi1.33Sb0.67)Se3 nanowires under an applied magnetic field.

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.

A meta-analysis of genome-wide association studies across different populations highlights new risk loci and provides a genetic risk score that can stratify prostate cancer risk across ancestries.

The signatures of strong and intermediate plasmon-emitter coupling can be confused if scattering measurements alone are performed. Here, the authors use scattering and photoluminescence to demonstrate weak, intermediate, and strong coupling between single quantum dots and plasmons at room temperature.

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.

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.

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 statistical method to quantify crystallographic textures in aluminum alloys under additive manufacturing conditions is introduced. Experiments and simulations reveal interfacial energy anisotropy dominates texture selection and grain competition.

Xu, Meng, St-Germain et al. report that S1P in HDL induces a calcium signalling cascade involving E-Syt1 that ultimately promotes the formation of contact sites between the endoplasmic reticulum and the plasma membrane, as well as HDL-derived cholesterol transport.

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

Immunoengineering-based cancer therapies have huge potential. Here the authors report on the lipid nanoparticle delivery, to cancer cells, of self-amplifying RNA encoding SARS-CoV-2 spike epitope-loaded MHC I molecules to take advantage of anti-SARS-CoV-2 immunity from a vaccinated population to treat cancer.

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.

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.

A sufficiently strong magnetic field drives an electron system into the so-called extreme quantum limit. Zhang et al. demonstrate that in this regime, a Dirac semimetal acquires a robust plateau in the thermoelectric Hall conductivity, with a value independent of magnetic field or electron concentration.

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.

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.

Prostate cancer (PrCa) involves a large heritable genetic component. Here, the authors perform multivariate fine-mapping of known PrCa GWAS loci, identifying variants enriched for biological function, explaining more familial relative risk, and with potential application in clinical risk profiling.

Over the last few years, several van der Waals materials have been found that retain magnetic ordering down to monolayer thickness. These materials provide a simple platform for studying the magnetism in reduced dimensions. Here, Zhong et al study the thickness dependence of magnetic ordering in Cr2Te3, and find a crossover from Stoner to Heisenberg-type magnetism as thicknesses are reduced.

Inhibition of the histone methyltransferase NSD2 and the androgen receptor in preclinical models can reverse lineage plasticity to suppress tumour growth and promote cell death in multiple subtypes of castration-resistant prostate cancer.

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.

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.

CD16a triggers antibody-dependent cellular cytotoxicity but CD16a shedding dampens its anti-tumor activity. Here the authors develop a monoclonal antibody (F9H4) that prevents CD16a shedding, which synergizes with a tumor cell opsonizing antibody (cetuximab) to elicit natural killer cell-driven immunity.

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.

The seas of the Mesozoic were populated by marine reptiles, yet their modes of locomotion remain unknown. Here, Zhang et al. describe seabed tracks made by the paddles of Middle Triassic nothosaurs in southwestern China, which shows that these marine reptiles used their forelimbs for propulsion.

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.

Analysis of whole-genome sequencing data across 2,658 tumors spanning 38 cancer types shows that chromothripsis is pervasive, with a frequency of more than 50% in several cancer types, contributing to oncogene amplification, gene inactivation and cancer genome evolution.

Platelet aggregation is associated with myocardial infarction and stroke. Here, the authors have conducted a whole genome sequencing association study on platelet aggregation, discovering a locus in RGS18, where enhancer assays suggest an effect on activity of haematopoeitic lineage transcription factors.

Allele-preferential transcription factor binding can influence pancreatic ductal adenocarcinoma risk loci function. Here, the authors show allele-specific JunB and JunD binding at chr1p36.33 and propose a role for KLHL17 in protein homeostasis by mitigating inflammation.

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.

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.

A lipid-nanoparticle-based formulation incorporating engineered lipids containing a blood–brain-barrier-crossing moiety effectively delivers mRNA to neurons and astrocytes following systemic administration in mice.

Luis Pérez-Jurado, Stephen Chanock and colleagues detect clonal chromosomal abnormalities in peripheral blood or buccal samples from individuals in the general population. They show that the frequency of such events increases with age and is associated with elevated risk of developing subsequent hematological cancers.

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

Some antiseizure medications including valporate are associated with neurodevelopmental conditions in children exposed in utero but evidence is less clear for other drugs. Here the authors investigate associations between antiseizure medication use in pregnancy and neurodevelopmental conditions using electronic health record data from the UK and Sweden.

The authors summarize the data produced by phase III of the Encyclopedia of DNA Elements (ENCODE) project, a resource for better understanding of the human and mouse genomes.

Effective synthetic anion receptors are challenging to design. Now, star-shaped macrocycles, with a cavity defined by multiple convergent amide NH and phenyl CH groups, have been synthesized in one pot from their monomeric building blocks. These macrocycles strongly bind a variety of anions, selectively transport chloride across cell membranes and restore the function of cystic fibrosis cells.

The authors use nitrogen-vacancy centre magnetometry to explore layer number and magnetic field evolution of ferromagnetic and antiferromagnetic domains in the A-type antiferromagnet CrPS₄.

This multisite study detects a link between brain dynamic functional network connectivity and current and future post-traumatic stress symptom severity with a stronger effect in the female group.

Small cell lung cancer presents high and multi-site metastatic potential. Here, the authors discover that FOXA2, regulated by ASCL1, promotes multi-site metastasis in small cell lung cancer by inducing a fetal neuroendocrine gene expression program.

A major challenge of enzyme-linked immunosorbent assays is discriminating true signal from non-specific binding. Here the authors present a Single-Molecule Colocalization Assay (SiMCA) which eliminates such effects, enabling reproducible detection of picomolar protein concentrations.

It is unclear how often genetic mosaicism of chromosome X arises. Here, the authors examine women with cancer and cancer-free controls and show that X chromosome mosaicism occurs more frequently than on autosomes, especially on the inactive X chromosome, but is not linked to non-haematologic cancer risk