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Updated: Jun 19, 2025

Oncogene Expression Analysis with Alterations in pH in a Pancreatic Ductal Cell Line
Published on: April 11, 2025
HYENA detects oncogenes activated by distal enhancers in cancer
Anqi Yu1, Ali E Yesilkanal1, Ashish Thakur2
1Ben May Department for Cancer Research, University of Chicago, Chicago, IL, USA.
Abstract:
Somatic structural variations (SVs) in cancer can shuffle DNA content in the genome, relocate regulatory elements, and alter genome organization. Enhancer hijacking occurs when SVs relocate distal enhancers to activate proto-oncogenes. However, most enhancer hijacking studies have only focused on protein-coding genes. Here, we develop a computational algorithm 'HYENA' to identify candidate oncogenes (both protein-coding and non-coding) activated by enhancer hijacking based on tumor whole-genome and transcriptome sequencing data. HYENA detects genes whose elevated expression is associated with somatic SVs by using a rank-based regression model. We systematically analyze 1146 tumors across 25 types of adult tumors and identify a total of 108 candidate oncogenes including many non-coding genes. A long non-coding RNA TOB1-AS1 is activated by various types of SVs in 10% of pancreatic cancers through altered 3-dimensional genome structure. We find that high expression of TOB1-AS1 can promote cell invasion and metastasis. Our study highlights the contribution of genetic alterations in non-coding regions to tumorigenesis and tumor progression.
Insights
We developed HYENA, a computational tool to find oncogenes activated by enhancer hijacking in cancer. This method identified 108 candidate oncogenes, including non-coding genes like TOB1-AS1, which promotes pancreatic cancer metastasis.
Area of Science:
- Genomics
- Cancer Biology
- Bioinformatics
Background:
- Somatic structural variations (SVs) can alter genome organization and gene regulation in cancer.
- Enhancer hijacking, driven by SVs, activates proto-oncogenes, but studies often overlook non-coding genes.
- Understanding SV-driven oncogene activation is crucial for cancer research.
Purpose of the Study:
- To develop a computational algorithm (HYENA) for identifying candidate oncogenes (protein-coding and non-coding) activated by enhancer hijacking.
- To analyze a large cohort of adult tumors to discover novel oncogenes implicated in enhancer hijacking.
- To investigate the role of specific non-coding genes, such as TOB1-AS1, in cancer progression.
Main Methods:
- Development of the HYENA computational algorithm integrating whole-genome and transcriptome sequencing data.
- Application of a rank-based regression model to associate gene expression with somatic SVs.
- Systematic analysis of 1146 tumors across 25 adult cancer types.
Main Results:
- Identification of 108 candidate oncogenes activated by enhancer hijacking, including numerous non-coding genes.
- Discovery of the long non-coding RNA TOB1-AS1 activated by SVs in 10% of pancreatic cancers via 3D genome alterations.
- Demonstration that high TOB1-AS1 expression promotes cancer cell invasion and metastasis.
Conclusions:
- HYENA is effective in identifying novel oncogenes, particularly non-coding ones, activated by enhancer hijacking.
- Genetic alterations in non-coding regions significantly contribute to tumorigenesis and cancer progression.
- TOB1-AS1 represents a potential therapeutic target in pancreatic cancer due to its role in metastasis.
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