Literature DB >> 29929942

Development and Verification of an RNA Sequencing (RNA-Seq) Assay for the Detection of Gene Fusions in Tumors.

Jennifer L Winters1, Jaime I Davila2, Amber M McDonald1, Asha A Nair2, Numrah Fadra2, Rebecca N Wehrs1, Brittany C Thomas1, Jessica R Balcom1, Long Jin1, Xianglin Wu1, Jesse S Voss1, Eric W Klee3, Gavin R Oliver2, Rondell P Graham1, Jadee L Neff4, Kandelaria M Rumilla1, Umut Aypar1, Benjamin R Kipp1, Robert B Jenkins1, Jin Jen5, Kevin C Halling6.   

Abstract

We assessed the performance characteristics of an RNA sequencing (RNA-Seq) assay designed to detect gene fusions in 571 genes to help manage patients with cancer. Polyadenylated RNA was converted to cDNA, which was then used to prepare next-generation sequencing libraries that were sequenced on an Illumina HiSeq 2500 instrument and analyzed with an in-house developed bioinformatic pipeline. The assay identified 38 of 41 gene fusions detected by another method, such as fluorescence in situ hybridization or RT-PCR, for a sensitivity of 93%. No false-positive gene fusions were identified in 15 normal tissue specimens and 10 tumor specimens that were negative for fusions by RNA sequencing or Mate Pair NGS (100% specificity). The assay also identified 22 fusions in 17 tumor specimens that had not been detected by other methods. Eighteen of the 22 fusions had not previously been described. Good intra-assay and interassay reproducibility was observed with complete concordance for the presence or absence of gene fusions in replicates. The analytical sensitivity of the assay was tested by diluting RNA isolated from gene fusion-positive cases with fusion-negative RNA. Gene fusions were generally detectable down to 12.5% dilutions for most fusions and as little as 3% for some fusions. This assay can help identify fusions in patients with cancer; these patients may in turn benefit from both US Food and Drug Administration-approved and investigational targeted therapies.
Copyright © 2018 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 29929942     DOI: 10.1016/j.jmoldx.2018.03.007

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  9 in total

1.  RNA-Seq for the detection of gene fusions in solid tumors: development and validation of the JAX FusionSeq™ 2.0 assay.

Authors:  Daniel Bergeron; Harshpreet Chandok; Qian Nie; Matthew Prego; Melissa Soucy; Kevin Kelly; Guruprasad Ananda; Andrew Hesse; Honey V Reddi
Journal:  J Mol Med (Berl)       Date:  2022-01-10       Impact factor: 4.599

2.  Development and validation of an RNA sequencing panel for gene fusions in soft tissue sarcoma.

Authors:  Wanming Hu; Li Yuan; Xinke Zhang; Yang Ni; Dongchun Hong; Zhicai Wang; Xiaomin Li; Yuan Ling; Chao Zhang; Wanglong Deng; Minqi Tian; Ran Ding; Chao Song; Jianmin Li; Xing Zhang
Journal:  Cancer Sci       Date:  2022-03-10       Impact factor: 6.518

3.  A Simple RNA Target Capture NGS Strategy for Fusion Genes Assessment in the Diagnostics of Pediatric B-cell Acute Lymphoblastic Leukemia.

Authors:  Andrea Grioni; Grazia Fazio; Silvia Rigamonti; Vojtech Bystry; Giulia Daniele; Zuzana Dostalova; Manuel Quadri; Claudia Saitta; Daniela Silvestri; Simona Songia; Clelia T Storlazzi; Andrea Biondi; Nikos Darzentas; Giovanni Cazzaniga
Journal:  Hemasphere       Date:  2019-06-04

4.  Development of a novel anti-hepatitis B virus agent via Sp1.

Authors:  Michiyo Hayakawa; Hideaki Umeyama; Mitsuo Iwadate; Y-H Taguchi; Yoshihiko Yano; Takashi Honda; Saori Itami-Matsumoto; Ritsuzo Kozuka; Masaru Enomoto; Akihiro Tamori; Norifumi Kawada; Yoshiki Murakami
Journal:  Sci Rep       Date:  2020-01-08       Impact factor: 4.379

5.  Polymorphous Low-Grade Neuroepithelial Tumor of the Young (PLNTY): Molecular Profiling Confirms Frequent MAPK Pathway Activation.

Authors:  Cristiane M Ida; Derek R Johnson; Asha A Nair; Jaime Davila; Thomas M Kollmeyer; Kay Minn; Numrah M Fadra; Jessica R Balcom; Kar-Ming A Fung; Dong Kun Kim; Timothy J Kaufmann; Benjamin R Kipp; Kevin C Halling; Robert B Jenkins; Caterina Giannini
Journal:  J Neuropathol Exp Neurol       Date:  2021-09-27       Impact factor: 3.685

6.  A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery.

Authors:  Allison Creason; David Haan; Kristen Dang; Kami E Chiotti; Matthew Inkman; Andrew Lamb; Thomas Yu; Yin Hu; Thea C Norman; Alex Buchanan; Marijke J van Baren; Ryan Spangler; M Rick Rollins; Paul T Spellman; Dmitri Rozanov; Jin Zhang; Christopher A Maher; Cristian Caloian; John D Watson; Sebastian Uhrig; Brian J Haas; Miten Jain; Mark Akeson; Mehmet Eren Ahsen; Gustavo Stolovitzky; Justin Guinney; Paul C Boutros; Joshua M Stuart; Kyle Ellrott
Journal:  Cell Syst       Date:  2021-06-18       Impact factor: 11.091

Review 7.  Strategies for Functional Interrogation of Big Cancer Data Using Drosophila Cancer Models.

Authors:  Erdem Bangi
Journal:  Int J Mol Sci       Date:  2020-05-26       Impact factor: 5.923

8.  Clinical application of whole transcriptome sequencing for the classification of patients with acute lymphoblastic leukemia.

Authors:  Wencke Walter; Rabia Shahswar; Anna Stengel; Manja Meggendorfer; Wolfgang Kern; Torsten Haferlach; Claudia Haferlach
Journal:  BMC Cancer       Date:  2021-08-02       Impact factor: 4.430

9.  Frequent POLE-driven hypermutation in ovarian endometrioid cancer revealed by mutational signatures in RNA sequencing.

Authors:  Jaime I Davila; Pritha Chanana; Vivekananda Sarangi; Zachary C Fogarty; S John Weroha; Ruifeng Guo; Ellen L Goode; Yajue Huang; Chen Wang
Journal:  BMC Med Genomics       Date:  2021-06-22       Impact factor: 3.063

  9 in total

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