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Baked sediment, heat-shattered artefacts and introduced pyrite in a 400,000-year-old Palaeolithic occupation site in Suffolk, UK provide evidence of intentional fire-making, marking a pivotal moment in human development.

Eukaryotic genomes are segregated into euchromatin and heterochromatin. Here the authors show that heterochromatin establishment during zebrafish embryo development is controlled by zygotic transcription of miR-430 and subsequent degradation of maternal transcripts encoding the chromatin remodeling protein Smarca2.

This Perspective discusses current evidence on clonal hematopoiesis dynamics in humans and compares mathematical models used to predict CH progression, highlighting their implications for the clinical management of individuals with precursor states.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.

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.

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.

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.

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.

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.

Motile and non-motile cilia have distinct functions and protein complexes associated with them. Here, the authors show the conserved protein CFAP20 is important for both motile and non-motile cilia and is distinct from other ciliopathy-associated domains or macromolecular complexes.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

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

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.

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.

During the past century, diverse surgical techniques to restore function of a decentralized bladder after spinal cord or spinal root injury have been investigated. Gomez-Amaya et al. describe the tested nerve transfer strategies, discuss their strengths and limitations and indicate appropriate patient populations for each procedure.

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.

Bipolar androgen therapy (BAT) is a treatment option for patients with metastatic castration-resistant prostate cancer (mCRPC). Here the authors report the results of a phase 2 trial of BAT plus nivolumab (anti-PD1) in patients with advanced mCRPC.

In this prespecified interim analysis of the KEYNOTE-756 phase 3 trial, pembrolizumab and chemotherapy treatment of patients with high-risk, early-stage, estrogen receptor-positive/human epidermal growth factor receptor-negative breast cancer improved the pathological complete response rate compared with chemotherapy alone.

This paper reports integrative molecular analyses of urothelial bladder carcinoma at the DNA, RNA, and protein levels performed as part of The Cancer Genome Atlas project; recurrent mutations were found in 32 genes, including those involved in cell-cycle regulation, chromatin regulation and kinase signalling pathways; chromatin regulatory genes were more frequently mutated in urothelial carcinoma than in any other common cancer studied so far.

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.

Analysis of mitochondrial genomes (mtDNA) by using whole-genome sequencing data from 2,658 cancer samples across 38 cancer types identifies hypermutated mtDNA cases, frequent somatic nuclear transfer of mtDNA and high variability of mtDNA copy number in many cancers.

Efficient, large-scale genomic analysis is facilitated on the cloud by a computational tool with error-diagnosing and self-healing capabilities.

‘Protein arginine methyltransferase 5 (PRMT5) is known to regulate the expression of genes involved in metastasis. Here, the authors show that PRMT5 methylates Akt and methylation is required for phosphorylation and activation of Akt; ultimately leading to the increase in expression of pro-metastatic transcription factors.

Experimental manipulation of the gut microbiome in animal models impacts fear behaviours. Here, the authors show in a pilot study that features of the human infant gut microbiome are associated with non-social fear behaviours during a laboratory based assessment.

Michael Talkowski and colleagues analyze balanced chromosomal abnormalities in 273 individuals by whole-genome sequencing. Their findings suggest that sequence-level resolution improves prediction of clinical outcomes for balanced rearrangements and provides insight into pathogenic mechanisms such as altered gene regulation due to changes in chromosome topology.

Pharmacotyping analyses of large cohorts of pediatric acute lymphoblastic leukemia identify correlations between drug sensitivities and clinical outcomes across different genomic subtypes.

The Cancer Genome Atlas Research Network report integrated genomic and molecular analyses of 164 squamous cell carcinomas and adenocarcinomas of the oesophagus; they find genomic and molecular features that differentiate squamous and adenocarcinomas of the oesophagus, and strong similarities between oesophageal adenocarcinomas and the chromosomally unstable variant of gastric adenocarcinoma, suggesting that gastroesophageal adenocarcinoma is a single disease entity.

This paper describes molecular subtypes of cervical cancers, including squamous cell carcinoma and adenocarcinoma clusters defined by HPV status and molecular features, and distinct molecular pathways that are activated in cervical carcinomas caused by different somatic alterations and HPV types.

A mouse model of papillomavirus infection reveals that skin colonization with commensal papillomaviruses protects the immunocompetent host against chemical- and UV-induced skin cancer through CD8⁺ T cell immunity.