Literature DB >> 27840062

Deamination Effects in Formalin-Fixed, Paraffin-Embedded Tissue Samples in the Era of Precision Medicine.

Seokhwi Kim1, Charny Park2, Yongick Ji3, Deok G Kim3, Hyunsik Bae1, Michael van Vrancken4, Duk-Hwan Kim5, Kyoung-Mee Kim6.   

Abstract

Deamination of nucleotides causes C:G>T:A changes in formalin-fixed, paraffin-embedded (FFPE) tissue samples and produces false positives during next-generation sequencing (NGS). Uracil DNA glycosylase (UDG) helps eliminate this issue, but the effect of UDG in different tissue preparation conditions has not been rigorously studied. To investigate whether UDG can reduce false-positive single-nucleotide variant (SNV) calls, we used tumor and normal tissues from gastric adenocarcinoma patients prepared using different fixation times and pH conditions. FFPE tumor blocks >10 years were also evaluated for the comparison. We performed semiconductor-based NGS to evaluate nucleotide changes and used UDG to test deamination-related effects. Sequencing quality parameters mildly worsened with prolonged fixation time, acidic pH, and delayed fixation. SNV calls and C:G>T:A changes increased after >48 hours of fixation. In both recently prepared and old FFPE tissue blocks, UDG treatment reduced deamination-induced nucleotide changes. In the recently prepared samples, both high-quality SNVs and mean target coverage were remarkably increased on treatment with UDG. However, the quality of NGS results from old-age samples varied irrespective of UDG treatment. In conclusion, based on our findings, we believe that when performing NGS on recently embedded blocks, it is important to consider that certain poorly fixed samples may be at the risk of being deaminated, which can be corrected with UDG treatment.
Copyright © 2017 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27840062     DOI: 10.1016/j.jmoldx.2016.09.006

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


  23 in total

1.  Maximizing the Utility of Archival Formalin-Fixed Paraffin-Embedded Blocks for Nucleic Acid Analysis.

Authors:  Sarah R Greytak; Kelly B Engel; Helen M Moore
Journal:  Biopreserv Biobank       Date:  2018-07-13       Impact factor: 2.300

Review 2.  Guidelines for Validation of Next-Generation Sequencing-Based Oncology Panels: A Joint Consensus Recommendation of the Association for Molecular Pathology and College of American Pathologists.

Authors:  Lawrence J Jennings; Maria E Arcila; Christopher Corless; Suzanne Kamel-Reid; Ira M Lubin; John Pfeifer; Robyn L Temple-Smolkin; Karl V Voelkerding; Marina N Nikiforova
Journal:  J Mol Diagn       Date:  2017-03-21       Impact factor: 5.568

Review 3.  Understanding preanalytical variables and their effects on clinical biomarkers of oncology and immunotherapy.

Authors:  Lokesh Agrawal; Kelly B Engel; Sarah R Greytak; Helen M Moore
Journal:  Semin Cancer Biol       Date:  2017-12-16       Impact factor: 15.707

4.  Analytical validation of a novel targeted next-generation sequencing assay for mutation detection in thyroid nodule aspirates and tissue.

Authors:  Antonella Verrienti; Valeria Pecce; Luana Abballe; Valeria Ramundo; Rosa Falcone; Farzaneh Inanloo Nigi Jak; Chiara Brunelli; Guido Fadda; Daniela Bosco; Valeria Ascoli; Raffaella Carletti; Cira Di Gioia; Giorgio Grani; Marialuisa Sponziello
Journal:  Endocrine       Date:  2020-06-06       Impact factor: 3.633

5.  Histopathological factors affecting the extraction of high quality genomic DNA from tissue sections for next-generation sequencing.

Authors:  Satoshi Fujii; Takayuki Yoshino; Kentaro Yamazaki; Kei Muro; Kensei Yamaguchi; Tomohiro Nishina; Satoshi Yuki; Eiji Shinozaki; Kohei Shitara; Hideaki Bando; Sachiyo Mimaki; Chikako Nakai; Koutatsu Matsushima; Yutaka Suzuki; Kiwamu Akagi; Takeharu Yamanaka; Shogo Nomura; Hiroyasu Esumi; Masaya Sugiyama; Nao Nishida; Masashi Mizokami; Yasuhiro Koh; Yukiko Abe; Atsushi Ohtsu; Katsuya Tsuchihara
Journal:  Biomed Rep       Date:  2019-08-21

6.  Routine Molecular Pathology Diagnostics in Precision Oncology.

Authors:  Carina Wenzel; Sylvia Herold; Martin Wermke; Daniela E Aust; Gustavo B Baretton
Journal:  Dtsch Arztebl Int       Date:  2021-04-16       Impact factor: 5.594

7.  Preanalytical Variables and Sample Quality Control for Clinical Variant Analysis.

Authors:  Ilaria Alborelli; Philip M Jermann
Journal:  Methods Mol Biol       Date:  2022

8.  How does inflammation drive mutagenesis in colorectal cancer?

Authors:  Chia Wei Hsu; Mark L Sowers; Willie Hsu; Eduardo Eyzaguirre; Suimin Qiu; Celia Chao; Charles P Mouton; Yuri Fofanov; Pomila Singh; Lawrence C Sowers
Journal:  Trends Cancer Res       Date:  2017

9.  High-throughput methods for measuring DNA thermodynamics.

Authors:  Jin H Bae; John Z Fang; David Yu Zhang
Journal:  Nucleic Acids Res       Date:  2020-09-04       Impact factor: 16.971

10.  Cross-Site Concordance Evaluation of Tumor DNA and RNA Sequencing Platforms for the CIMAC-CIDC Network.

Authors:  Zexian Zeng; Jingxin Fu; Carrie Cibulskis; Aashna Jhaveri; Curtis Gumbs; Biswajit Das; Beatriz Sanchez-Espiridion; Sylvie Janssens; Daoud Meerzaman; Magdalena Thurin; Andrew Futreal; Chris Karlovich; Stacey B Gabriel; Ignacio Ivan Wistuba; X Shirley Liu; Catherine J Wu; Len Taing; Jin Wang; James Lindsay; Tomas Vilimas; Jianhua Zhang; Collin Tokheim; Avinash Sahu; Peng Jiang; Chunhua Yan; Dzifa Yawa Duose; Ethan Cerami; Li Chen; David Cohen; Qingrong Chen; Rebecca Enos; Xin Huang; Jack J Lee; Yang Liu; Donna S Neuberg; Cu Nguyen; Candace Patterson; Sharmistha Sarkar; Sachet Shukla; Ming Tang; Junko Tsuji; Mohamed Uduman; Xiaoman Wang; Jason L Weirather; Jijun Yu; Joyce Yu; Jianjun Zhang; Jiexin Zhang
Journal:  Clin Cancer Res       Date:  2020-12-15       Impact factor: 12.531

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