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Project description:Enhancer hijacking, caused by structural alterations on chromosomes as well as extrachromosomal DNA (ecDNA), is a common cancer driver event. The complexity and ubiquity of structural alterations in cancer genomes make it difficult to identify enhancer hijacking using genome sequencing alone. Here we describe a 3D genomics-based analysis called HAPI (Highly Active Promoter Interactions) to characterize enhancer hijacking caused by structural alterations. HAPI analysis of HiChIP data from 34 cancer cell lines identified novel enhancer hijacking events that involve chromosomal rearrangements and activate both known and potentially novel oncogenes such as MYC, CCND1, ETV1, CRKL, and ID4, which we validated using CRISPRi assays and RNA-seq analysis. Furthermore, we found that ecDNAs often contain multiple oncogenes from different chromosomes, which causes nested enhancer hijacking among them. We found that ecDNAs containing MYC often harbor additional oncogenes from other chromosomes such as CDX2, ERBB2, or CD44 that co-opt MYC's enhancers for their overexpression, which we validated using dual-color DNA FISH and CRISPRi assays. These enhancer hijacking events involving multiple oncogenes on ecDNAs have important implications for therapeutic strategies that either target the co-opting oncogenes or the hijacked enhancers. Our publicly available HAPI analysis tool provides a robust strategy to detect enhancer hijacking and reveals novel insights into oncogene activation caused by chromosomal and extrachromosomal structural alterations.
| S-EPMC10849656 | biostudies-literature
Project description:3D genomic analysis reveals novel enhancer-hijacking caused by complex structural alterations that drive oncogene overexpression
| PRJNA949123 | ENA
Project description:Enhancer hijacking, caused by structural alterations, is a common cancer driver event that causes aberrant expression of oncogenes. Unfortunately, enhancer hijacking is difficult to detect due to the complexity of the cancer genome. Here we propose a simple yet robust strategy HAPI (Highly Active Promoter Interactions) to identify and characterize such events by following two rules: 1) oncogenes subject to enhancer hijacking should be potentially highly regulated by enhancers, 2) the hijacked enhancers should contribute an appreciable proportion of an oncogene’s overall enhancer activity. Applying this strategy to HiChIP data we and others generated in 34 cancer cell lines, we identified known enhancer hijacking events and uncovered novel enhancers hijacked by known or potentially novel oncogenes such as CCND1, ETV1, ID4, and NKX2-5, which we validated using CRISPRi assays and RNA-seq analysis. Furthermore, we found that complex enhancer hijacking events connecting genes and enhancers from multiple chromosomal segments are often caused by the formation of extrachromosomal circular DNA (ecDNA). Focusing on ecDNAs harboring the MYC oncogene, one of the most common gene targets of ecDNA, we found that these ecDNAs often stitch additional genes such as CDX2, ERBB2, and NFIB from other chromosomes to the MYC locus. These genes heavily hijack MYC enhancers for their activation, a novel insight into ecDNA biology, suggesting alternative therapeutic targets for MYC ecDNAs. Our study provides an efficient strategy to detect enhancer hijacking events, and more importantly reveals novel mechanisms underlying oncogene activation caused by simple or complex structural alterations.
2024-04-02 | GSE228246 | GEO
Project description:Enhancer hijacking, caused by structural alterations, is a common cancer driver event that causes aberrant expression of oncogenes. Unfortunately, enhancer hijacking is difficult to detect due to the complexity of the cancer genome. Here we propose a simple yet robust strategy HAPI (Highly Active Promoter Interactions) to identify and characterize such events by following two rules: 1) oncogenes subject to enhancer hijacking should be potentially highly regulated by enhancers, 2) the hijacked enhancers should contribute an appreciable proportion of an oncogene’s overall enhancer activity. Applying this strategy to HiChIP data we and others generated in 34 cancer cell lines, we identified known enhancer hijacking events and uncovered novel enhancers hijacked by known or potentially novel oncogenes such as CCND1, ETV1, ID4, and NKX2-5, which we validated using CRISPRi assays and RNA-seq analysis. Furthermore, we found that complex enhancer hijacking events connecting genes and enhancers from multiple chromosomal segments are often caused by the formation of extrachromosomal circular DNA (ecDNA). Focusing on ecDNAs harboring the MYC oncogene, one of the most common gene targets of ecDNA, we found that these ecDNAs often stitch additional genes such as CDX2, ERBB2, and NFIB from other chromosomes to the MYC locus. These genes heavily hijack MYC enhancers for their activation, a novel insight into ecDNA biology, suggesting alternative therapeutic targets for MYC ecDNAs. Our study provides an efficient strategy to detect enhancer hijacking events, and more importantly reveals novel mechanisms underlying oncogene activation caused by simple or complex structural alterations.
2024-04-02 | GSE247056 | GEO
Project description:Enhancer hijacking, caused by structural alterations, is a common cancer driver event that causes aberrant expression of oncogenes. Unfortunately, enhancer hijacking is difficult to detect due to the complexity of the cancer genome. Here we propose a simple yet robust strategy HAPI (Highly Active Promoter Interactions) to identify and characterize such events by following two rules: 1) oncogenes subject to enhancer hijacking should be potentially highly regulated by enhancers, 2) the hijacked enhancers should contribute an appreciable proportion of an oncogene’s overall enhancer activity. Applying this strategy to HiChIP data we and others generated in 34 cancer cell lines, we identified known enhancer hijacking events and uncovered novel enhancers hijacked by known or potentially novel oncogenes such as CCND1, ETV1, ID4, and NKX2-5, which we validated using CRISPRi assays and RNA-seq analysis. Furthermore, we found that complex enhancer hijacking events connecting genes and enhancers from multiple chromosomal segments are often caused by the formation of extrachromosomal circular DNA (ecDNA). Focusing on ecDNAs harboring the MYC oncogene, one of the most common gene targets of ecDNA, we found that these ecDNAs often stitch additional genes such as CDX2, ERBB2, and NFIB from other chromosomes to the MYC locus. These genes heavily hijack MYC enhancers for their activation, a novel insight into ecDNA biology, suggesting alternative therapeutic targets for MYC ecDNAs. Our study provides an efficient strategy to detect enhancer hijacking events, and more importantly reveals novel mechanisms underlying oncogene activation caused by simple or complex structural alterations.
2024-04-02 | GSE228166 | GEO
Project description:3D genomics analysis identifies enhancer hijacking caused by structural alterations and extrachromosomal circular DNA formation [HiChIP]
| PRJNA949128 | ENA
Project description:3D genomics analysis identifies enhancer hijacking caused by structural alterations and extrachromosomal circular DNA formation [ChIP-Seq]
| PRJNA948422 | ENA
Project description:3D genomics analysis identifies enhancer hijacking caused by structural alterations and extrachromosomal circular DNA formation [RNA-Seq]
| PRJNA1036170 | ENA
Project description:Extensive prior research focused on somatic copy-number alterations (SCNAs) affecting cancer genes, yet the extent to which recurrent SCNAs exert their influence through rearrangement of cis-regulatory elements (CREs) remains unclear. Here we present a framework for inferring cancer-related gene overexpression resulting from CRE reorganization (e.g., enhancer hijacking) by integrating SCNAs, gene expression data and information on topologically associating domains (TADs). Analysis of 7,416 cancer genomes uncovered several pan-cancer candidate genes, including IRS4, SMARCA1 and TERT. We demonstrate that IRS4 overexpression in lung cancer is associated with recurrent deletions in cis, and we present evidence supporting a tumor-promoting role. We additionally pursued cancer-type-specific analyses and uncovered IGF2 as a target for enhancer hijacking in colorectal cancer. Recurrent tandem duplications intersecting with a TAD boundary mediate de novo formation of a 3D contact domain comprising IGF2 and a lineage-specific super-enhancer, resulting in high-level gene activation. Our framework enables systematic inference of CRE rearrangements mediating dysregulation in cancer.
| S-EPMC5791882 | biostudies-literature
Project description:Higher-order chromatin structure is important for the regulation of genes by distal regulatory sequences1,2. Structural variants (SVs) that alter three-dimensional (3D) genome organization can lead to enhancer-promoter rewiring and human disease, particularly in the context of cancer3. However, only a small minority of SVs are associated with altered gene expression4,5, and it remains unclear why certain SVs lead to changes in distal gene expression and others do not. To address these questions, we used a combination of genomic profiling and genome engineering to identify sites of recurrent changes in 3D genome structure in cancer and determine the effects of specific rearrangements on oncogene activation. By analysing Hi-C data from 92 cancer cell lines and patient samples, we identified loci affected by recurrent alterations to 3D genome structure, including oncogenes such as MYC, TERT and CCND1. By using CRISPR-Cas9 genome engineering to generate de novo SVs, we show that oncogene activity can be predicted by using 'activity-by-contact' models that consider partner region chromatin contacts and enhancer activity. However, activity-by-contact models are only predictive of specific subsets of genes in the genome, suggesting that different classes of genes engage in distinct modes of regulation by distal regulatory elements. These results indicate that SVs that alter 3D genome organization are widespread in cancer genomes and begin to illustrate predictive rules for the consequences of SVs on oncogene activation.
| S-EPMC9810360 | biostudies-literature