Literature DB >> 33148671

Uncovering Clinically Relevant Gene Fusions with Integrated Genomic and Transcriptomic Profiling of Metastatic Cancers.

Erica S Tsang1, Cameron J Grisdale2, Erin Pleasance2, James T Topham3, Karen Mungall2, Caralyn Reisle2, Caleb Choo2, Marcus Carreira2, Reanne Bowlby2, Joanna M Karasinska3, Daniel MacMillan2, Laura M Williamson2, Eric Chuah2, Richard A Moore2, Andrew J Mungall2, Yongjun Zhao2, Basile Tessier-Cloutier2, Tony Ng4, Sophie Sun1, Howard J Lim1, David F Schaeffer3,4, Daniel J Renouf1,3, Stephen Yip4, Janessa Laskin1, Marco A Marra2,5, Steven J M Jones2,5,6, Jonathan M Loree7.   

Abstract

PURPOSE: Gene fusions are important oncogenic drivers and many are actionable. Whole-genome and transcriptome (WGS and RNA-seq, respectively) sequencing can discover novel clinically relevant fusions. EXPERIMENTAL
DESIGN: Using WGS and RNA-seq, we reviewed the prevalence of fusions in a cohort of 570 patients with cancer, and compared prevalence to that predicted with commercially available panels. Fusions were annotated using a consensus variant calling pipeline (MAVIS) and required that a contig of the breakpoint could be constructed and supported from ≥2 structural variant detection approaches.
RESULTS: In 570 patients with advanced cancer, MAVIS identified 81 recurrent fusions by WGS and 111 by RNA-seq, of which 18 fusions by WGS and 19 by RNA-seq were noted in at least 3 separate patients. The most common fusions were EML4-ALK in thoracic malignancies (9/69, 13%), and CMTM8-CMTM7 in colorectal cancer (4/73, 5.5%). Combined genomic and transcriptomic analysis identified novel fusion partners for clinically relevant genes, such as NTRK2 (novel partners: SHC3, DAPK1), and NTRK3 (novel partners: POLG, PIBF1).
CONCLUSIONS: Utilizing WGS/RNA-seq facilitates identification of novel fusions in clinically relevant genes, and detected a greater proportion than commercially available panels are expected to find. A significant benefit of WGS and RNA-seq is the innate ability to retrospectively identify variants that becomes clinically relevant over time, without the need for additional testing, which is not possible with panel-based approaches. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 33148671     DOI: 10.1158/1078-0432.CCR-20-1900

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  2 in total

Review 1.  Transcriptome analysis provides critical answers to the "variants of uncertain significance" conundrum.

Authors:  Mackenzie D Postel; Julie O Culver; Charité Ricker; David W Craig
Journal:  Hum Mutat       Date:  2022-05-18       Impact factor: 4.700

2.  A Novel NIPBL-NACC1 Gene Fusion Is Characteristic of the Cholangioblastic Variant of Intrahepatic Cholangiocarcinoma.

Authors:  Pedram Argani; Doreen N Palsgrove; Robert A Anders; Steven C Smith; Carla Saoud; Regina Kwon; Lysandra Voltaggio; Naziheh Assarzadegan; Kiyoko Oshima; Lisa Rooper; Andres Matoso; Lei Zhang; Brandi L Cantarel; Jeffrey Gagan; Cristina R Antonescu
Journal:  Am J Surg Pathol       Date:  2021-11-01       Impact factor: 6.298

  2 in total

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