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In this Stage 2 Registered Report, Buchanan et al. show evidence confirming the phenomenon of semantic priming across speakers of 19 diverse languages.

Authors report MagNet, a plasma extracellular vesicle (EV) enrichment strategy using magnetic beads. Proteomic interrogation of this plasma EV fraction enables the detection of proteins that are beyond the dynamic range of mass spectrometry of unfractionated plasma.

The SLC45A4 gene encodes a neuronal polyamine transporter and is linked to pain response in humans and mice.

The approval of first line immune checkpoint blockade (ICB) has improved outcomes for patients with metastatic non-small cell lung cancer (mNSCLC), however, whether patients would benefit more from ICB alone or alongside chemotherapy is unclear. Here, the authors develop a machine-learning based approach to help guide individual treatment selection patients with mNSCLC.

Primary T cells with multiple genetic modifications are rapidly isolated by negative selection.

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.

In an ongoing phase 1 trial, the combination of two new immunotherapies targeting CTLA-4 and PD-1 was overall well tolerated and elicited encouraging clinical responses in patients with relapsed/refractory microsatellite stable colorectal cancer, a tumor type typically unresponsive to immune checkpoint blockade.

The uptake and elimination of beta-lactam antibiotics are facilitated by the proton-coupled peptide transporters. Here authors present cryo-EM structures of PepT2 in complex with the cefadroxil, amoxicillin and cloxacillin to reveal a mechanism of beta-lactam antibiotic recognition

In a randomized phase 2 trial, sotigalimab, a CD40 agonist, did not significantly improve overall survival in patients with previously untreated metastatic pancreatic cancer when combined with chemotherapy or with nivolumab and chemotherapy. Multi-omic exploratory analyses provide insights into immunologic features associated with clinical benefit.

A study generates a clinicogenomics dataset resource, MSK-CHORD, that combines natural language processing-derived clinical annotations with patient medical data from various sources to improve models of cancer outcome.

An analysis of 24,202 critical cases of COVID-19 identifies potentially druggable targets in inflammatory signalling (JAK1), monocyte–macrophage activation and endothelial permeability (PDE4A), immunometabolism (SLC2A5 and AK5), and host factors required for viral entry and replication (TMPRSS2 and RAB2A).

A main challenge for the use of CAR-T in solid tumours is the identification of surface proteins as feasible targets. Here, the authors show TYRP1 as a target for CAR-T cell therapy in preclinical models of cutaneous, acral and uveal melanoma.

T cell activation is a process that requires extra nutrients, which could be difficult to source from the tumor microenvironment in competition with tumor cells. Here authors increase the metabolic fitness of CAR-T cells by stable overexpression of the glucose transporter GLUT1, which allows them to increase their glucose intake and enhances their antitumour function.

Cryo-electron microscopy structures of PCFT in a substrate-free state and bound to the antifolate drug pemetrexed provide insights into how this protein recognizes folates and mediates their transport into cells.

System xc- is a cystine transporter that is expressed in the plasma membrane and imports cystine in exchange for intracellular glutamate. Here, the authors present the cryo-EM structure of human system xc- both in the apo form and the glutamate bound state, and further supported by molecular dynamics and cell-based assays they discuss its cystine transport mechanism.

New research examines disparities in renewable energy development on American Indian reservations relative to adjacent lands. Results highlight barriers contributing to these disparities and the scope for poverty alleviation, if eliminated, is quantified.

Genome-wide CRISPR screens, biochemical studies and animal models show that RASA2 has a key role in regulating T cell function and has potential as a genetic target for enhancing anti-tumour immunity.

Effective anti-PD-1 immunotherapy is associated with the presence of polyclonal CD8⁺ T cells in the tumour and blood specific for a limited number of immunodominant mutations, which are recurrently recognized over time.

A study of hospitalized patients infected with SARS-CoV-2 and who have liquid or solid cancer suggests that hematologic malignancy is an independent risk factor for mortality and that CD8⁺ T cells might limit infection in this setting irrespective of humoral immunity.

In Alzheimer's disease, increased MAOB activity in reactive astrocytes leads to enhanced GABA release, and blockage of this pathway ameliorates memory dysfunction in mouse models.

The yields of edited primary human lymphocytes can be increased substantially, with respect to those obtained via electroporation, by delivering a CRISPR ribonucleoprotein alongside an amphiphilic peptide identified via screening.

Genomic and transcriptomic analysis of 393 non-small cell lung cancer patients treated with checkpoint inhibitors identifies molecular features associated with response.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

Optical pooled CRISPR screening is improved by combinatorial oligo hybridization for barcode detection.

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.

Alterations in the tumour suppressor genes STK11 and/or KEAP1 can identify patients with advanced non-small-cell lung cancer who are likely to benefit from combinations of PD-(L)1 and CTLA4 immune checkpoint inhibitors added to chemotherapy.

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.

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.

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.

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.

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.

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.

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.