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Humanity’s Last Exam, a multi-modal benchmark at the frontier of human knowledge, is designed to be an expert-level closed-ended academic benchmark with broad subject coverage.

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.

Wong and colleagues show that LKB1-deficient lung tumors are sensitive to autophagy inhibition, which can restore impaired antigen presentation and antitumor immune responses, and propose dual targeting of ULK1 and PD-1 for these tumors.

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.

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.

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.

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.

Lung adenocarcinoma is often curable when diagnosed at an early stage, but a subsection of patients will progress. Here, the authors use multi-omics profiling to show that gene expression data can predict clinical outcome.

Sinonasal tumour diagnosis can be complicated by the heterogeneity of disease and classification systems. Here, the authors use machine learning to classify sinonasal undifferentiated carcinomas into 4 molecular classe with differences in differentiation state and clinical outcome.

Tumour cells adapt to anticancer drug treatments by a series of cellular state transitions, each inducing distinct gene expression programmes and leading to increased drug resistance.

Using well-calibrated statistical methods the authors jointly analyze Undiagnosed Diseases Network genomes, identifying known and novel disease genes. Software is publicly available to support future cross-cohort rare disease discovery efforts.

A single-cell transcriptomic analysis of 63 patients with colorectal cancer classifies tumor cells into two epithelial subtypes. An improved tumor classification based on epithelial subtype, microsatellite stability and fibrosis reveals differences in pathway activation and metastasis.

Chronic myelomonocytic leukaemia is classified as proliferative (pCMML) or dysplastic based on the white blood cell counts but biological differences are unclear. Here, the authors show genetic, transcriptomic and epigenomic differences between these two subtypes establishing that pCMML is RAS-pathway driven and that inhibiting RAS-driven PLK1 expression is a viable therapeutic target.

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

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.

Inflammatory monocytes in the brain meninges promote stress-induced fear behaviour, and the pathways involved can be modulated using psychedelic compounds.

The mechanisms of pathological astrocyte responses during multiple sclerosis remain unclear. Kadowaki et al. found in MS mouse models that CLEC16A suppresses astrocyte pathogenic activities related to mitochondria by boosting mitophagy.

A study leveraging transsynaptic tracing demonstrates rapid and extensive integration of human glioblastoma organoids into the mouse brain.

Edwin Cuppen, Gijs van Haaften and colleagues report the identification of mutations in ABCC9 in individuals with Cantú syndrome, which is characterized by congenital hypertrichosis, distinctive facial features, cardiomegaly and osteochondrodyplasia. ABCC9 encodes an ATP-dependent potassium channel.

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.

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.

Paul de Bakker, Cisca Wijmenga and colleagues report on The Genome of the Netherlands Project, including whole-genome sequencing of 769 individuals of Dutch ancestry from 250 parent-offspring families and construction of a phased haplotype map. Their intermediate-coverage population sequencing data set provides a complementary resource to other publicly available data sets, including the 1000 Genomes Project.

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.

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 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.

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 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.

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.

The transition from normal esophageal tissue to squamous carcinoma is characterized by an altered SOX2 cistrome. This transcriptional reprogramming activates endogenous retroviruses and double-stranded RNA expression, creating a dependency on the RNA editing enzyme ADAR1.

A subpopulation of astrocytes characterized by the expression of LAMP1 and TRAIL limits inflammation in the central nervous system through a mechanism involving the microbiota-modulated expression of IFNγ in meningeal natural killer cells.

The GREGoR consortium provides foundational resources and substrates for the future of rare disease genomics.

Sarcoidosis is a heterogenous disorder often treated with glucocorticoids. Here the authors show, in an open label, non-randomized, single arm clinical trial involving 10 patients, that treatment with tofacitinib, a Janus kinase inhibitor, is associated with improved clinical symptoms and reduced activity of Th1 cytokines such as IFN-γ and IL-12.

Stem cells of the liver, colon and small intestine gradually accumulate mutations throughout life at a similar rate even though cancer incidence varies greatly among these tissues.

With a comprehensive analysis of sequencing data, DNA copy number, gene expression and DNA methylation in a large number of human glioblastomas, The Cancer Genome Atlas project initiative provides a broad overview of the genes and pathways that are altered in this cancer type.

A consortium reports the tripling of the number of genetic markers in Phase II of the International HapMap Project. This map of human genetic variation will continue to revolutionize discovery of susceptibility loci in common genetic diseases, and study of genes under selection in humans.

The application of metal fluorides as cathodes for lithium ion batteries has been hindered by inadequate understanding of their electrochemical capabilities. Reversible conversion reaction in iron fluoride nanocrystals is shown to be due to topotactic cation diffusion and nucleation of metallic particles.