Literature DB >> 23810241

Accurate detection of copy number changes in DNA extracted from formalin-fixed, paraffin-embedded melanoma tissue using duplex ratio tests.

David A Moore1, Gerald Saldanha, Abdlrzag Ehdode, Linda Potter, Lovesh Dyall, Danielle Bury, J Howard Pringle.   

Abstract

A minority of melanocytic lesions cannot confidently be classified as benign or malignant on histopathological examination, causing diagnostic uncertainty. DNA copy number changes can be used to distinguish nevi from melanoma, although the use of FFPE tissue can pose technical challenges. DNA copy number assays, called duplex ratio tests, have been developed with duplex real-time PCR, using a simple method with potential for high throughput. Five duplex ratio test assays targeting loci with common DNA copy number changes in melanoma were designed and tested using DNA extracted from FFPE samples microdissected from melanoma, common nevi, benign tonsil (10 each), and two melanoma cell lines. The assays proved accurate when DNA extracted from fresh and FFPE melanoma cell lines were compared (intraclass correlation coefficient, 0.99) and gave precise results when repeated on DNA from FFPE tissue (intraclass correlation coefficient range, 0.90 to 0.96). In combination, duplex ratio test values from three of the assays distinguished between the nevi and melanomas with 100% sensitivity (95% CI, 69.1% to 100%) and 100% specificity (95% CI, 69.1% to 100%). Duplex ratio test assays have been shown to be accurate and precise and can distinguish melanomas from common nevi using DNA from FFPE tissue. Appropriately designed assays could have value in assessment of other cancers.
Copyright © 2013 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2013        PMID: 23810241     DOI: 10.1016/j.jmoldx.2013.04.008

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


  6 in total

1.  Assessing copy number alterations in targeted, amplicon-based next-generation sequencing data.

Authors:  Catherine Grasso; Timothy Butler; Katherine Rhodes; Michael Quist; Tanaya L Neff; Stephen Moore; Scott A Tomlins; Erica Reinig; Carol Beadling; Mark Andersen; Christopher L Corless
Journal:  J Mol Diagn       Date:  2014-11-07       Impact factor: 5.568

2.  Quantitative real-time polymerase chain reaction is an alternative method for the detection of HER-2 amplification in formalin-fixed paraffin-embedded breast cancer samples.

Authors:  Tianjie Pu; Peng Guo; Yan Qiu; Shinan Chen; Libo Yang; Linyong Sun; Feng Ye; Hong Bu
Journal:  Int J Clin Exp Pathol       Date:  2015-09-01

3.  Molecular profiling reveals primary mesothelioma cell lines recapitulate human disease.

Authors:  T Chernova; X M Sun; I R Powley; S Galavotti; S Grosso; F A Murphy; G J Miles; L Cresswell; A V Antonov; J Bennett; A Nakas; D Dinsdale; K Cain; M Bushell; A E Willis; M MacFarlane
Journal:  Cell Death Differ       Date:  2016-02-19       Impact factor: 15.828

4.  How asbestos drives the tissue towards tumors: YAP activation, macrophage and mesothelial precursor recruitment, RNA editing, and somatic mutations.

Authors:  Hubert Rehrauer; Licun Wu; Walter Blum; Lazslo Pecze; Thomas Henzi; Véronique Serre-Beinier; Catherine Aquino; Bart Vrugt; Marc de Perrot; Beat Schwaller; Emanuela Felley-Bosco
Journal:  Oncogene       Date:  2018-03-06       Impact factor: 9.867

5.  Detection of BRAF mutations from solid tumors using Tumorplex™ technology.

Authors:  Jacob Yo; Katie S L Hay; Dilanthi Vinayagamoorthy; Danielle Maryanski; Mark Carter; Joseph Wiegel; Thuraiayah Vinayagamoorthy
Journal:  MethodsX       Date:  2015-06-12

6.  Long-Fiber Carbon Nanotubes Replicate Asbestos-Induced Mesothelioma with Disruption of the Tumor Suppressor Gene Cdkn2a (Ink4a/Arf).

Authors:  Tatyana Chernova; Fiona A Murphy; Sara Galavotti; Xiao-Ming Sun; Ian R Powley; Stefano Grosso; Anja Schinwald; Joaquin Zacarias-Cabeza; Kate M Dudek; David Dinsdale; John Le Quesne; Jonathan Bennett; Apostolos Nakas; Peter Greaves; Craig A Poland; Ken Donaldson; Martin Bushell; Anne E Willis; Marion MacFarlane
Journal:  Curr Biol       Date:  2017-11-06       Impact factor: 10.834

  6 in total

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