Recent Advances in Cancer Fusion Transcript Detection

Journal Publication ResearchOnline@JCU
Dorney, Ryley;Dhungel, Bijay P.;Rasko, John E.J.;Hebbard, Lionel;Schmitz, Ulf
Lionel HebbardUlf Schmitz
Abstract

Extensive investigation of gene fusions in cancer has led to the discovery of novel biomarkers and therapeutic targets. To date, most studies have neglected chromosomal rearrangement-independent fusion transcripts and complex fusion structures such as double or triple-hop fusions, and fusion-circRNAs. In this review, we untangle fusion-related terminology and propose a classification system involving both gene and transcript fusions. We highlight the importance of RNA-level fusions and how long-read sequencing approaches can improve detection and characterization. Moreover, we discuss novel bioinformatic tools to identify fusions in long-read sequencing data and strategies to experimentally validate and functionally characterize fusion transcripts.

Journal

Briefings in Bioinformatics

Publication Name

N/A

Volume

24

ISBN/ISSN

1477-4054

Edition

N/A

Issue

1

Pages Count

12

Location

N/A

Publisher

Oxford University Press

Publisher Url

N/A

Publisher Location

N/A

Publish Date

N/A

Url

N/A

Date

N/A

EISSN

N/A

DOI

10.1093/bib/bbac519