Literature DB >> 30055350

Next-Generation Sequencing Using S1 Nuclease for Poor-Quality Formalin-Fixed, Paraffin-Embedded Tumor Specimens.

Sung-Min Chun1, Chang Ohk Sung2, Hyejoon Jeon3, Tae-Im Kim3, Ji-Young Lee3, Hwan Park3, Yujin Kim3, Deokhoon Kim2, Se Jin Jang4.   

Abstract

Next-generation sequencing (NGS) testing of formalin-fixed, paraffin-embedded (FFPE) tissues is widely used in clinical diagnosis. However, the failure of high-quality DNA library construction, a critical step for NGS, often limits NGS application for FFPE tissues, particularly for old FFPE tissues. The aim was to develop a high-quality DNA library construction method optimized for NGS of FFPE specimens. DNA library construction was developed for FFPE specimens by using S1 nuclease and compared with the Covaris method-the widely accepted DNA library construction protocol. The Covaris method includes a DNA shearing step with sonication to generate shortened DNA fragments. DNA shearing was found to be unnecessary, and S1 nuclease treatment only during genomic DNA extraction significantly improved the success rate of library construction from FFPE tissues. Moreover, poor-quality FFPE tissues that failed the Covaris method were rescued with the S1 method. Higher complexity was observed in DNA libraries constructed by the S1 method. Among 223 FFPE specimens, DNA libraries were successfully constructed for 134 cases with the Covaris method (60.0% success rate), whereas the success rate was 86.5% (193 of 223) with the S1 method (P = 5.255e-10). Furthermore, we were able to rescue 59 samples, including 25 primary lung cancers, from the 89 failed Covaris method cases. In conclusion, the S1 method is optimal for NGS testing of poor-quality FFPE specimens.
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: 30055350     DOI: 10.1016/j.jmoldx.2018.06.002

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


  7 in total

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Authors:  Hyung-Don Kim; Min-Hee Ryu; Young Soo Park; Sun Young Lee; Meesun Moon; Yoon-Koo Kang
Journal:  Gastric Cancer       Date:  2021-09-01       Impact factor: 7.370

2.  Preparation of Duplex Sequencing Libraries for Archival Paraffin-Embedded Tissue Samples Using Single-Strand-Specific Nuclease P1.

Authors:  Natalia V Mitiushkina; Grigory A Yanus; Ekatherina Sh Kuligina; Tatiana A Laidus; Alexandr A Romanko; Maksim M Kholmatov; Alexandr O Ivantsov; Svetlana N Aleksakhina; Evgeny N Imyanitov
Journal:  Int J Mol Sci       Date:  2022-04-21       Impact factor: 6.208

3.  Effect of preservation time of formalin-fixed paraffin-embedded tissues on extractable DNA and RNA quantity.

Authors:  Qing-Qing Yi; Rong Yang; Jun-Feng Shi; Nai-Yan Zeng; Dong-Yu Liang; Shuang Sha; Qing Chang
Journal:  J Int Med Res       Date:  2020-06       Impact factor: 1.671

4.  Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application.

Authors:  Hosub Park; Sung-Min Chun; Jooyong Shim; Ji-Hye Oh; Eun Jeong Cho; Hee Sang Hwang; Ji-Young Lee; Deokhoon Kim; Se Jin Jang; Soo Jeong Nam; Changha Hwang; Insuk Sohn; Chang Ohk Sung
Journal:  Sci Rep       Date:  2019-03-06       Impact factor: 4.379

5.  High prevalence of TP53 loss and whole-genome doubling in early-onset colorectal cancer.

Authors:  Jeong Eun Kim; Jaeyong Choi; Chang-Ohk Sung; Yong Sang Hong; Sun Young Kim; Hyunjung Lee; Tae Won Kim; Jong-Il Kim
Journal:  Exp Mol Med       Date:  2021-03-22       Impact factor: 8.718

6.  Immuno-genomic classification of colorectal cancer organoids reveals cancer cells with intrinsic immunogenic properties associated with patient survival.

Authors:  Eun Jeong Cho; Minsuh Kim; Daum Jo; Jihye Kim; Ji-Hye Oh; Hee Chul Chung; Sun-Hye Lee; Deokhoon Kim; Sung-Min Chun; Jihun Kim; Hyeonjin Lee; Tae Won Kim; Chang Sik Yu; Chang Ohk Sung; Se Jin Jang
Journal:  J Exp Clin Cancer Res       Date:  2021-07-13

7.  Mutation Profile of Aggressive Pheochromocytoma and Paraganglioma with Comparison of TCGA Data.

Authors:  Yun Mi Choi; Jinyeong Lim; Min Ji Jeon; Yu-Mi Lee; Tae-Yon Sung; Eun-Gyoung Hong; Ji-Young Lee; Se Jin Jang; Won Gu Kim; Dong Eun Song; Sung-Min Chun
Journal:  Cancers (Basel)       Date:  2021-05-14       Impact factor: 6.639

  7 in total

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