Dataset Information

Enhancer somatic mutations with functional impact in lung cancers identified by leveraging the tissue-specific enhancer-target genes regulatory network [ChIP-seq]

ABSTRACT: Enhancers are non-coding genomic features that regulate the transcriptional output of their target genes. Their dysregulation has been associated with various diseases including cancer. However, identification and characterisation of non-coding mutations that are relevant for tumorigenesis and prognosis remain a major challenge. Here we present the detection and characterisation of enhancer mutations in a genome-wide analysis of three lung cancer subtypes. We carefully define lung tissue-specific enhancers across the genome by integrating novel experimental data and reference public datasets of epigenomic signatures from eight lung cell lines and primary tissue. We observe that in lung cancer, the mutation burden at enhancers and exons is similar, whereas their corresponding mutation signatures show stark differences. Our results indicate that recurrent mutations in individual enhancers significantly impact the expression of target genes with potential relevance for prognosis. We also demonstrate that the genes enriched for mutated enhancers recurrently converge on the regulation of key biological process and pathways.

ORGANISM(S): Homo sapiens

PROVIDER: GSE228831 | GEO | 2023/09/27

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:International differences in the incidence of many cancer types indicate the existence of carcinogen exposures that have not been identified by conventional epidemiology yet potentially make a substantial contribution to cancer burden1. This pertains to clear cell renal cell carcinoma (ccRCC), for which obesity, hypertension, and tobacco smoking are risk factors but do not explain its geographical variation in incidence2. Some carcinogens generate somatic mutations and a complementary strategy for detecting past exposures is to sequence the genomes of cancers from populations with different incidence rates and infer underlying causes from differences in patterns of somatic mutations. Here, we sequenced 962 ccRCC from 11 countries of varying incidence. Somatic mutation profiles differed between countries. In Romania, Serbia and Thailand, mutational signatures likely caused by extracts of Aristolochia plants were present in most cases and rare elsewhere. In Japan, a mutational signature of unknown cause was found in >70% cases and <2% elsewhere. A further mutational signature of unknown cause was ubiquitous but exhibited higher mutation loads in countries with higher kidney cancer incidence rates (p-value <6 × 10−18). Known signatures of tobacco smoking correlated with tobacco consumption, but no signature was associated with obesity or hypertension suggesting non-mutagenic mechanisms of action underlying these risk factors. The results indicate the existence of multiple, geographically variable, mutagenic exposures potentially affecting 10s of millions of people and illustrate the opportunities for new insights into cancer causation through large-scale global cancer genomics. Linked cross omic data sets:Geographic variation of mutagenic exposures in kidney cancer genomes – patient metadata files (Mutographs) associated with this study are available in the European Genome-Phenome Archive: https://ega-archive.org/datasets/EGAD00001012223.

Dataset Information

Enhancer somatic mutations with functional impact in lung cancers identified by leveraging the tissue-specific enhancer-target genes regulatory network [ChIP-seq]

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure