Search

The genomes of 102 primary pancreatic neuroendocrine tumours have been sequenced, revealing mutations in genes with functions such as chromatin remodelling, DNA damage repair, mTOR activation and telomere maintenance, and a greater-than-expected contribution from germ line mutations.

This pilot trial showed that perioperative treatment with the isocitrate dehydrogenase (IDH) inhibitor safusidenib of patients with low-grade IDH-mutant glioma, with craniotomy and lumbar puncture before and after treatment, is feasible and safe and enabled in-depth translational investigation of safusidenib treatment-induced changes in the tumor, including electrophysiological effects.

A whole-genome sequencing analysis of 100 pancreatic ductal adenocarcinomas has discovered known and newly identified genetic drivers of pancreatic cancer; these genetic alterations can be classified into four subtypes, which raises the possibility of improved targeting of clinical treatments.

An integrated genomic analysis of 456 human pancreatic ductal adenocarcinomas identifies four subtypes defined by transcriptional expression profiles and show that these are associated with distinct histopathological characteristics and differential prognosis.

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.

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.

Patients with metastatic cancers of unknown primary (CUP) are currently unable to gain access to drugs through standard of care or clinical trials. Here, the authors perform whole-genome and transcriptome sequencing (WGTS) on 72 patients with CUP and demonstrate the feasibility of using WGTS to determine the specific cancer types of CUP, thereby clinically benefiting patients with CUP.

Exome sequencing and copy number analysis are used to define genomic aberrations in early sporadic pancreatic ductal adenocarcinoma; among the findings are mutations in genes involved in chromatin modification and DNA damage repair, and frequent and diverse somatic aberrations in genes known as embryonic regulators of axon guidance.

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.

A patient with newly diagnosed glioblastoma was safely treated with neoadjuvant nivolumab, relatlimab and ipilimumab before maximal resection, with comprehensive immune profiling showing the induction of overall immune activation early during treatment. The patient had no definitive evidence of recurrence at 17 months after treatment.

The genomic landscape of hereditary SDHB-mutant pheochromocytomas (PC) and paragangliomas (PG) remains to be explored. Here, the authors perform multiomic analysis on 94 tumours from 79 patients and identify the molecular features of metastatic disease and treatment response.

Loss-of-function mutations in tumour suppressor genes are associated with oesophageal adenocarcinoma (EAC), but the mechanisms underlying EAC development remain unclear. Here, the authors show that EACs present a high frequency of genomic catastrophes resulting in amplification of potent oncogenes.

Accurately detecting cancer mutational profiles from circulating tumour DNA (ctDNA) remains a challenging task. Here, the authors develop MisMatchFinder, an algorithm that can detect mutational signatures in shallow whole-genome sequencing data from ctDNA across multiple cancer types.

Whole-genome sequencing of tumour and germline DNA samples from 92 patients with high-grade serous ovarian cancer identifies frequent gene breakages that inactivate the tumour suppressors RB1, NF1, RAD51B and PTEN, and contribute to chemotherapy resistance; acquired resistance was associated with diverse mechanisms such as reversions of germline BRCA1/2 mutations and overexpression of the drug efflux pump MDR1.

A software tool based on gene model profiling improves analysis of alternative splice events in RNA sequencing (RNA-seq) 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.

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.

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.

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.

Application of next-generation sequencing using the ABI SOLiD technology to mammalian transcriptome analysis enabled a survey of the content, the complexity and the developmental dynamics of the embryonic stem cell transcriptome in the mouse. Also in this issue, Mortazavi et al. report Illumina technology–based RNA-Seq analysis of the mouse transcriptome in three different tissues.

Pheochromocytomas and paragangliomas (PCPG) are rare neuroendocrine tumours. Here, the authors use single-nuclei and bulk-tissue RNA-seq to characterise PCPG tumours and their microenvironments and reveal molecular subtypes as well as expression patterns associated with metastasis.

This study presents an extensive molecular characterization of the reprograming process by analysis of transcriptomic, epigenomic and proteomic data sets describing the routes to pluripotency; it finds distinct routes towards two stable pluripotent states characterized by distinct epigenetic events.

The forced expression of key transcription factors can induce somatic cells to acquire pluripotency characteristics; here high levels of reprogramming factors are used to induce mouse embryonic fibroblasts to a stable alternative pluripotent state with low intercellular adhesion.

Piero Carninci and colleagues report that 6–30% of cap-selected mouse and human RNA transcripts initiate within repetitive elements. They conclude that retrotransposon transcription is far more widespread than first thought and has a major influence on the transcriptional output of mammalian genomes.

Cox and colleagues develop PXS-5505, a first-in-class selective pan-lysyl oxidase inhibitor and show that it reduces chemotherapy-induced desmoplasia and stiffness, thereby improving chemotherapy response and survival in pancreatic cancer models.

There is increasing evidence that epigenetic mechanisms contribute to therapeutic resistance in cancer. Here the authors study AML patient samples and a mouse model of non-genetic resistance and find that transcriptional plasticity drives stable epigenetic resistance, and identify regulators of enhancer function as important modulators of resistance.