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The role of developmental pathways in medulloblastoma tumours (MB) with sonic hedgehog (SHH) activation remains to be explored. Here, the authors perform multi-omic analysis and characterise the key transcriptomic and metabolic patterns of highly differentiated cells in SHH MBs.

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.

Two new studies suggest that pediatric medulloblastomas and high-grade gliomas are genetically different from the same tumors in adults. Age-dependent gene expression might affect tumor biology; therefore, therapies for adult medulloblastomas or gliomas might not produce the same clinical outcomes in pediatric patients, and vice versa.

The mechanism of the charge density wave in kagome metals is under intense debate. Here, by using a combination of diffuse scattering and inelastic x-ray scattering, the authors show that the charge density wave transition in (Cs,Rb)V₃Sb₅ is of the order-disorder type.

A large-scale multi-omics analysis reports oncogenic alterations that drive medulloblastoma progression, rather than initiation, and the findings show how single-cell technologies can be used for early detection and diagnosis of medulloblastoma.

The mechanisms regulating the balance between proliferation and differentiation in medulloblastomas with extensive nodularity (MBEN) remain poorly understood. Here, single cell multi-omics and spatial analysis characterises the spatial tissue organisation of MBEN in the context of the developmental trajectory.

Beck et al. conducted single-cell and spatial profiling of embryonal tumors with multilayered rosettes, finding that malignant cellular hierarchies are driven by developmental programs and specific members of the chromosome 19 microRNA cluster.

Simultaneous activation of Wnt and Shh pathways in murine neural precursor cells results in the formation of embryonal tumors with multilayered rosettes (ETMR) that recapitulate the histological and molecular features of human tumors. This novel mouse model represents a platform for evaluating therapeutic approaches for this rare malignant pediatric brain tumor, and provides novel insights into the cell of origin and molecular mechanisms driving the disease.

The mechanism of the multiple-q charge density wave phase in the antiferromagnetic kagome metal FeGe is not fully understood. Here the authors reveal dimerization-driven hexagonal charge-diffuse precursor and identify the fraction of dimerized/undimerized states as the key order parameter of the phase transition.

The molecular landscape of chromothriptic medulloblastoma remains to be characterised. Here, spatial transcriptomics analysis of 13 chromothriptic and non-chromothriptic medulloblastomas identifies distinct spatial composition patterns and cell communication networks in these tumours.

Analysis of medulloblastomas in humans and mice shows that the functional consequences of ZIC1 mutations are exquisitely dependent on the cells of origin that give rise to different subgroups of medulloblastoma.

The recently discovered charge density wave in ScV₆Sn₆ kagome metal is under intense debate. By using a combination of experimental and theoretical techniques, the authors point to the role of flat phonon mode softening and momentum-dependent electron-phonon coupling in the formation of the charge density wave.

Chromothripsis (CT) is a type of genome instability which is prevalent in medulloblastoma with germline TP53 mutations (Li-Fraumeni syndrome, LFS). Here the authors combine single-cell genomic and transcriptomic analyses to reveal the clonal heterogeneity and functional consequences of CT in LFS medulloblastoma.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Medulloblastomas (MBs) are highly heterogeneous paediatric brain tumours that remain challenging to treat. Here, the authors integrate proteomics, epigenomics, transcriptomics and post-translational modification analyses to find molecular subgroups and potential therapeutic targets in MB tumours.

Analyses of primary and relapse samples of embryonal tumours with multilayered rosettes provide insights into the molecular mechanisms that underlie the development and opportunities for the treatment of this deadly disease.

Sarcomas are morphologically heterogeneous tumours rendering their classification challenging. Here the authors developed a classifier using DNA methylation data from several soft tissue and bone sarcoma subtypes, which has the potential to improve classification for research and clinical purposes.

Although genetically bland, the posterior fossa group A subgroup of ependymomas, found often in infants and associated with poor prognosis, exhibit widespread epigenetic alterations, namely a CpG island methylator phenotype; these tumours are shown to be susceptible both in vitro and in vivo to various compounds that target epigenetic modifications, such as DNA methylation and H3K27 tri-methylation.

Circular extrachromosomal DNA in high-risk medulloblastoma contributes to tumor heterogeneity and associates with relapse and survival. Enhancer rewiring events involving known oncogenes are frequent events, affecting transcription and proliferation.

Neuroinflammation is a common feature of many neurological disorders. Here, the authors show that the Orai1 calcium channel functions as a signaling hub in astrocytes to control astrocyte-driven brain inflammation and inflammation-induced depression-like behaviors in mice.

Cancer genetics has benefited from the advent of next generation sequencing, yet a comparison of sequencing and analysis techniques is lacking. Here, the authors sequence a normal-tumour pair and perform data analysis at multiple institutes and highlight some of the pitfalls associated with the different methods.

Germline mutations in the Elongator complex gene ELP1 predispose individuals to the development of childhood medulloblastoma.

Medulloblastoma is the most common malignant brain tumour in children; having assembled over 1,000 samples the authors report that somatic copy number aberrations are common in medulloblastoma, in particular a tandem duplication of SNCAIP, a gene associated with Parkinson’s disease, which is restricted to subgroup 4α, and translocations of PVT1, which are restricted to Group 3.

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.

Mutations in the chromatin modifier Chd7 have been associated with CHARGE syndrome and other developmental disorders. Here the authors show that Chd7 is required for the activation of genes essential for cerebellar granule cell differentiation, and that disrupting Chd7 leads to cerebellar hypoplasia in mice.

Genomic analysis of 491 medulloblastoma samples, including methylation profiling of 1,256 cases, effectively assigns candidate drivers to most tumours across all molecular subgroups.

Gene transfer is a powerful technique to investigate the mechanistic basis of tumorigenesis. Here Zuckermann et al. adapt CRISPR/Cas9 genome editing to target potential oncogenes somatically in vivo, establishing a fast and convenient system for validating novel genetic candidates.