AI Article Synopsis

  • Somatic structural variations in cancer can disrupt the genome, leading to enhancer hijacking that activates proto-oncogenes, but most research has focused on protein-coding genes.
  • A new computational algorithm called 'HYENA' is designed to identify both protein-coding and non-coding oncogenes influenced by enhancer hijacking by analyzing tumor genome and transcriptome data.
  • In studying 1146 tumors across 25 types, the researchers found 108 candidate oncogenes, including the long non-coding RNA TOB1-AS1, which promotes metastasis in pancreatic cancer cases.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11381332PMC
http://dx.doi.org/10.1093/nar/gkae646DOI Listing

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