Literature DB >> 31211614

Validation of a Next-Generation Sequencing Assay Targeting RNA for the Multiplexed Detection of Fusion Transcripts and Oncogenic Isoforms.

Robyn T Sussman1, Amanda R Oran1, Carmela Paolillo1, David Lieberman1, Jennifer J D Morrissette1, Jason N Rosenbaum1.   

Abstract

CONTEXT.—: Next-generation sequencing is a high-throughput method for detecting genetic abnormalities and providing prognostic and therapeutic information for patients with cancer. Oncogenic fusion transcripts are among the various classifications of genetic abnormalities present in tumors and are typically detected clinically with fluorescence in situ hybridization (FISH). However, FISH probes only exist for a limited number of targets, do not provide any information about fusion partners, cannot be multiplex, and have been shown to be limited in specificity for common targets such as ALK. OBJECTIVE.—: To validate an anchored multiplex polymerase chain reaction-based panel for the detection of fusion transcripts in a university hospital-based clinical molecular diagnostics laboratory. DESIGN.—: We used 109 unique clinical specimens to validate a custom panel targeting 104 exon boundaries from 17 genes involved in fusions in solid tumors. The panel can accept as little as 100 ng of total nucleic acid from PreservCyt-fixed tissue, and formalin-fixed, paraffin-embedded specimens with as little as 10% tumor nuclei. RESULTS.—: Using FISH as the gold standard, this assay has a sensitivity of 88.46% and a specificity of 95.83% for the detection of fusion transcripts involving ALK, RET, and ROS1 in lung adenocarcinomas. Using a validated next-generation sequencing assay as the orthogonal gold standard for the detection of EGFR variant III (EGFRvIII) in glioblastomas, the assay is 92.31% sensitive and 100% specific. CONCLUSIONS.—: This multiplexed assay is tumor and fusion partner agnostic and will provide clinical utility in therapy selection for patients with solid tumors.

Entities:  

Year:  2019        PMID: 31211614     DOI: 10.5858/arpa.2018-0441-OA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  3 in total

1.  Mining potentially actionable kinase gene fusions in cancer cell lines with the KuNG FU database.

Authors:  Alessio Somaschini; Sebastiano Di Bella; Carlo Cusi; Laura Raddrizzani; Antonella Leone; Giovanni Carapezza; Tommaso Mazza; Antonella Isacchi; Roberta Bosotti
Journal:  Sci Data       Date:  2020-11-30       Impact factor: 6.444

Review 2.  Copy Number Variation and Rearrangements Assessment in Cancer: Comparison of Droplet Digital PCR with the Current Approaches.

Authors:  Vincenza Ylenia Cusenza; Alessandra Bisagni; Monia Rinaldini; Chiara Cattani; Raffaele Frazzi
Journal:  Int J Mol Sci       Date:  2021-04-29       Impact factor: 5.923

3.  Performance of an RNA-Based Next-Generation Sequencing Assay for Combined Detection of Clinically Actionable Fusions and Hotspot Mutations in NSCLC.

Authors:  Patrice Desmeules; Dominique K Boudreau; Nathalie Bastien; Marie-Chloé Boulanger; Yohan Bossé; Philippe Joubert; Christian Couture
Journal:  JTO Clin Res Rep       Date:  2022-01-10
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.