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Chordoma is a rare often incurable malignant bone tumour. Here, the authors investigate driver mutations of sporadic chordoma in 104 cases, revealing duplications in notochordal transcription factor brachyury (T), PI3K signalling mutations, and mutations in LYST, a potential novel cancer gene in chordoma.

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.

In many groups of organisms, speciation rates are higher when global temperatures are warmer. Here, Davis et al. find that marine crustaceans in the Anomura clade have higher speciation rates during cooler periods, whereas their freshwater relatives have the more typical relationship of higher speciation rates in warmer periods.

Adrienne Flanagan and colleagues identify distinct driver mutations in H3F3A and H3F3B in chondroblastoma and giant cell tumor of bone. The mutations occur in over 90% of tumors and exhibit a high degree of tumor type specificity.

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.

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.

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.

Kinematic measurements of the Perseus galaxy cluster reveal two drivers of gas motions: a small-scale driver in the inner core associated with black-hole feedback and a large-scale driver in the outer core powered by mergers.

Gene fusions involving MLL and different partner genes define unique subgroups of acute myelogenous leukemia, but the mechanisms underlying specific subgroups are not fully clear. Here the authors elucidate the mechanisms of MLL-AF6 induced transformation, providing a distinct pathway that involves SHARP1 as a critical target.

Analysis of genomic data from 981 colorectal cancers from participants in 11 countries reveals variations in mutational signatures of microsatellite-stable cancers that are dependent on geographical origin and age at which the cancer was diagnosed.

Peter Campbell, Mel Greaves and colleagues use exome and whole-genome sequencing to characterize somatic mutations in childhood acute lymphoblastic leukemias with the ETV6-RUNX1 fusion gene. They find that RAG-mediated deletions are the dominant mutational process.

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.

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.

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.

Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

Whole-genome sequencing and mutational signature analysis of 265 head and neck cancer samples collected from eight different countries provide insight into the vital contribution of tobacco smoke in disease etiology.

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.

518 protein kinase genes in the human genome have been sequenced in a large sample of tumours, providing a global view of the patterns of mutations found and the variations in the number and type of mutations between individual tumours.

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.

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 phase I trial of a neoantigen-targeting personalized cancer vaccine led to durable and polyfunctional T cell responses and antitumour recognition, and was associated with no recurrence in patients with high-risk clear cell renal cell carcinoma.

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.

Osteosarcoma is a primary malignancy of bone that affects children and adults. Here, the authors sequence childhood and adult osteosarcomas, identifying mutations in insulin-like growth factor signalling genes and distinct genomic rearrangement profiles characterized by chromothripsis-amplification.

Whole-genome sequencing analysis of somatic mutations in liver samples from patients with chronic liver disease identifies driver mutations in metabolism-related genes such as FOXO1, and shows that these variants frequently exhibit convergent evolution.

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

Analyses of multiregional tumour samples from 421 patients with non-small cell lung cancer prospectively enrolled to the TRACERx study reveal determinants of tumour evolution and relationships between intratumour heterogeneity and clinical outcome.

Whole-genome sequencing of tumours from 560 breast cancer cases provides a comprehensive genome-wide view of recurrent somatic mutations and mutation frequencies across both protein coding and non-coding regions; several mutational signatures in these cancer genomes are associated with BRCA1 or BRCA2 function and defective homologous-recombination-based DNA repair.

Whole-genome sequencing of 962 clear cell renal cell carcinomas from 11 countries shows geographic variations in somatic mutation profiles, including a mutational signature of unknown cause in 70% of cases from Japan.

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.

Joint analysis of new and previously published sequencing data for primary and metastatic prostate cancers identifies new candidate driver mutations and provides insights into disease progression and potential drug targets.

Omnivores like bears can switch between plant and animal diets, potentially helping them respond to changing conditions. By combining modern and fossil data, this study shows that bears shift toward carnivory in harsher climates and toward herbivory in more productive environments.

Mapping of the neutrophil compartment using single-cell transcriptional data from multiple physiological and patological states reveals its organizational architecture and how cell state dynamics and trajectories vary during health, inflammation and cancer.

The incidence of esophageal squamous cell carcinoma varies significantly across different geographical regions. Mutational signature analysis of tumors sampled from high- and low-incidence areas suggests that these variations may not be explained by mutagenic exposures.

Multiple myeloma is a malignant plasma cell disorder with a complex molecular pathogenesis. Here, the authors perform whole-exome sequencing, copy-number profiling and cytogenetic analysis in 84 myeloma samples and highlight the diversity and evolution of the mutational profile underlying the disease.

CDK4/6 inhibitors are standard-of-care treatment of breast cancer, however resistance is common. Here, the authors analyse real world multi-omics data from 400 breast cancer patients and identify bifurcated evolutionary trajectories associated with ER independent resistance.

Beige adipocytes are formed in response to cold and thought to contribute to organismal energy homeostasis. Here, the authors study a range of conditional and inducible RFP-expressing Cre mouse strains and find that SMA-based lines are the most useful for mapping beige adipocyte progenitor cells.

Despite improving therapeutic options, the prognosis for patients with metastatic castration-resistance prostate cancer (mCRPC) remains poor. Here, the authors identify MCL1 copy number alterations as a prognostic and predictive biomarker, demonstrating its therapeutic potential as a drug target, either alone or in combination, in patients with mCRPC.

Single-cell RNAseq can struggle to capture cellular heterogeneity due to the relatively low expression of biologically meaningful transcripts. Here the authors present an approach called scCLEAN, which uses CRISPR/Cas9 to target and remove certain ubiquitous transcripts, thereby enhancing the detection of low-abundance transcripts.

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.

A study of breast cancers shows that the number of somatic mutations in each varies markedly and is strongly correlated with age at diagnosis and cancer histological grade.

Ionizing radiation may induce irreparable DNA damage leading to cancer. Here, the authors identify a specific signature of mutations arising in patients exposed to ionizing radiation and suggest that radiation-induced tumorigenesis is associated with higher rates of genome-wide deletions and balanced inversions.