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Updated: Sep 9, 2025

Discovery of Driver Genes in Colorectal HT29-derived Cancer Stem-Like Tumorspheres
Published on: July 22, 2020
Decoding genomic rearrangements for cancer driver discovery
Enyoung Seo1, Sooyeon Park1, Inho Park2
1Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, Republic of Korea; Department of Biomedical Sciences, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.
None:
Somatically acquired genomic rearrangements are common genomic alterations that contribute to malignancy by altering the expression or activity of cancer-related genes in human cancer. Genomic rearrangements play a crucial role in tumor development by contributing to driver events in approximately 25% of cancer patients. Most rearrangements are nonrecurrent and lack functional impact. However, some rearrangements produce functional transcripts and act as cancer drivers that may be therapeutic targets. The growing availability of whole-genome and matched RNA-sequencing data from large patient cohorts offers tremendous opportunities to identify novel, clinically relevant drivers arising from genomic rearrangements. In this review, we summarize current knowledge of driver rearrangements as therapeutic targets and highlight recent discoveries of functional transcripts such as intergenic fusions generated by noncanonical rearrangements. We also discuss computational approaches to decode rearrangement patterns and leverage large-scale whole-genome data to discover novel drivers.
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