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A combination of high-resolution spatial imaging, spatial proteomics and transcriptional data reveals sparse and heterogeneous bacterial signals in gliomas and brain metastases.

Metastasis-initiating cells can reawaken from a dormant state that initially allowed them to survive, triggering metastatic outgrowth. Here, authors show that loss of Brd7 promotes an immunosuppressive tumor microenvironment that drives breast cancer metastatic reawakening from dormancy in the lung.

The GLASS Consortium studies the evolutionary trajectories of 222 patients with a diffuse glioma to aid in our understanding of tumour progression and treatment failure

Engagement of T cell receptors (TCRs) induces the formation of microclusters that mediate the downstream signalling events. Here the authors show, using high resolution TIRF-SIM and live cell imaging, that ZAP70 and LAT are recruited to TCR with distinct kinetics, with the delayed ZAP70-TCR association modulated by TCR-induced calcium flux.

ATRX inactivation occurs often in IDH-mutant gliomas and has been associated with immune dysfunction. Here, using preclinical models of glioma, the authors show that ATRX inactivation promotes innate immune signalling in response to double stranded RNA-based innate immune agonists, an effect that is masked in IDH-mutant tumours, presenting a therapeutic vulnerability.

Stereotactic needle biopsies are currently performed for diagnosis only in glioblastoma; this study highlights the depth of information available through multi-omics analysis.

Yuzhalin et al. report that astrocyte-mediated upregulation of Cdk5 in metastatic breast cancer cells inhibits MHC-I expression on the cell surface, thereby enabling escape from killing by CD8⁺ T cells and facilitating brain metastasis.

Integrated single-cell transcriptomic and genetic characterization of 121 adult glioblastomas identifies heterogeneity at cell type, cell state and baseline expression program levels associated with specific mutations that form three stereotypical ecosystems.

Comparison of paired primary and recurrent glioblastomas at the single-cell transcriptomic level describes molecular and cellular trajectories associated with tumor recurrence, highlighting extensive heterogeneity and microenvironmental co-evolution.

The metabolite methylthioadenosine (MTA) inhibits PRMT5. Therefore, MTA accumulation due to MTA phosphorylase (MTAP) deletion has been proposed as a vulnerability for PRMT5-targeted therapy in cancer. Here, the authors show that MTA does not accumulate in MTAP-deficient cancer cells but is secreted and metabolized by MTAP-intact cells in the tumour microenvironment.

Experiments demonstrate the powerful capabilities of ultracold molecules to study dynamics in the context of quantum magnetism, and create new possibilities for studying quantum physics with ultracold molecules more broadly.

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

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.

There is a need for methods that allow the analysis of single-cell long-read sequencing data without depending on known barcode lists or short-read sequencing. Here, the authors develop scNanoGPS, a tool that can independently deconvolute long reads into single cells and single molecules, and apply it on tumour and cell line data.

Patient-derived xenografts provide a resource for basic and translational cancer research. Here, the authors generate multiple pediatric high-grade glioma xenografts, use omics technologies to show that they are representative of primary tumours and use them to assess therapeutic response.

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.

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 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.

Current guidelines recommend stereotactic radiosurgery for brain metastasis measuring less than 3 cm but there is significant variability in outcomes following treatment. This study shows that in treatment naïve brain metastasis less than 3 cm, intrinsic biological differences across multiple histologies may influence response to stereotactic radiosurgery.

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.

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.

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.

ATRX deficiency is linked to genomic stability in cancer cells. Here, the authors show that ATRX inactivation induces G-quadruplex formation, leading to genome-wide DNA damage, and the use of G-quadruplex stabilisers can be exploited therapeutically in ATRX deficient gliomas.

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.

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.

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.

Cyster and colleagues show that CD97–CD55 interactions, which trigger Gα₁₃–ARHGEF–Rho cytoskeletal signaling, are needed for proper MZ B cell positioning/retention in the spleen and for optimal antibody responses to T cell-independent antigens.

No clinical assay currently exists to classify glioma tumours based on gene expression. Here, the authors develop a DNA methylation-based classifier, Unified Diagnostic Pipeline (UniD) that identifies genomic alterations and gene expression subtypes of gliomas.

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.

Using spatial transcriptomics, this study profiled the expression of hundreds of matrisome genes at single-cell resolution in human brain tumors, revealing targetable adhesion and signalling components in glioblastoma and lower-grade gliomas.

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.

In an interim analysis of a phase 1 trial of concurrent intrathecal and intravenous anti-PD1 delivery in patients with leptomeningeal disease and melanoma, treatment was feasible and well-tolerated with no dose-limiting toxicities.

Chemotherapy resistance in recurrent gliomas is a large hurdle for successful therapy. Here, the authors show that some recurrent gliomas harbour O-6-methylguanine-DNA methyltransferase (MGMT) genomic rearrangements, and in vitro and in vivo these contribute to temozolomide resistance.

The Human Microbiome Project Consortium has established a population-scale framework to study a variety of microbial communities that exist throughout the human body, enabling the generation of a range of quality-controlled data as well as community resources.

MRI scans of glioblastoma patients can be misleading and some patients appear to show features of progressive disease although they respond to treatment. Here, the authors use MRI images of progressive disease or pseudoprogression and build a classifier using machine learning to distinguish the two.

Accurate recapitulation of human disease in animal models requires generation of complex and heterogeneous genetic variation. Here the authors combine RCAS-TVA with CRISPR-Cas9 to generate mouse models of cancer.

ATRX inactivation frequently occurs in glioma. Here, the authors explore the role of ATRX inactivation in oncogenesis, highlighting ATRX deficiency driven epigenomic changes that influence the expression of genes crucial to the oncogenic phenotype.

There have been substantial advances in the understanding of the basic biology and pathogenesis of malignant glioma and medulloblastoma over the past two decades. This Review summarizes these developments in the context of the molecular classification of these types of brain cancer and discusses the implications for the design of new treatment regimens.

This study uses human astrocytes and glioma tumorspheres to generate an atlas of mutant-IDH1-induced epigenomic reprogramming. The findings have implications for understanding mutant IDH function and for optimizing approaches to target IDH-mutant tumors.

The authors provide preclinical testing of a CSFR-1 inhibitor in proneural glioma models. The compound targets macrophages in the tumor microenvironment rather than tumor cells themselves and is shown to portend considerable antitumor effects. Its activity relies on re-education of tumor-associated macrophages without affecting their survival, reverting their tumor-promoting phenotype. Moreover, gene signatures capturing the tumorigenic features of macrophages can predict survival in human patients with glioma, underscoring the potential relevance of this strategy as a glioma therapy.