Literature DB >> 29752127

Implementation of next generation sequencing technology for somatic mutation detection in routine laboratory practice.

Tindaro Giardina1, Cleo Robinson2, Fabienne Grieu-Iacopetta1, Michael Millward3, Barry Iacopetta4, Dominic Spagnolo5, Benhur Amanuel6.   

Abstract

The introduction of next generation sequencing (NGS) in the routine diagnostic setting is still in the development phase and has been limited by its complexity. Targeted NGS offers an attractive alternative to performing multiple single target assays and is very useful in meeting the increasing clinical demand for testing of multiple genetic aberrations in cancer specimens. To this end, we carried out a blinded validation study on 113 tumours in a diagnostic laboratory and compared mutation results from targeted NGS with those from Sanger sequencing, pyrosequencing, competitive allele specific TaqMan polymerase chain reaction (CAST PCR) and Cobas assays. DNA was extracted from formalin fixed, paraffin embedded (FFPE) tissue samples that included core biopsies, resections and cytology samples from three common and one rare cancer types [non-small cell lung cancer (NSCLC), colorectal cancer (CRC), malignant melanoma (MM) and gastrointestinal stromal tumour (GIST)]. Libraries were prepared using the TruSight Tumour 26 gene panel and NGS was carried out on the MiSeq instrument. Results from NGS were concordant with the mutational status determined by other platforms in 107 of the 113 cases tested (94.7%). The sequencing quality for NGS failed in four of the six false negative cases, while a further two samples gave false negative results because the c-KIT mutations were located outside the range of the NGS panel. One NSCLC sample contained an EGFR mutation previously detected by the Cobas assay. Reanalysis of the NGS data for this sample using a cut-off allele frequency of 1% revealed the mutation had an allele frequency of 2%, which was below the recommended software-determined threshold of 3%. NGS detected 113 additional mutations that were not previously known from analysis by the conventional methods. Twenty-six of these have known clinical importance, 37 have potential clinical significance, while 50 were novel mutations with unknown clinical significance. NGS detected variants using inputs of 10-20 ng of FFPE extracted DNA and from specimens with a tumour cell content less than 50%, for which when possible we recommend microdissection. We conclude that results from targeted NGS are highly concordant with those from other mutation testing platforms. Targeted NGS is suitable for a range of sample types received in the diagnostic pathology laboratory, including those with limited material or with low tumour cell content (TCC). This work has allowed us to determine the quality parameter settings required in order to obtain robust mutation data by NGS.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Next generation sequencing; gene panels; molecular diagnostic testing laboratory; somatic mutation

Mesh:

Substances:

Year:  2018        PMID: 29752127     DOI: 10.1016/j.pathol.2018.01.005

Source DB:  PubMed          Journal:  Pathology        ISSN: 0031-3025            Impact factor:   5.306


  9 in total

1.  Validation and clinical application of a targeted next-generation sequencing gene panel for solid and hematologic malignancies.

Authors:  Iván Prieto-Potin; Nerea Carvajal; Jenifer Plaza-Sánchez; Rebeca Manso; Carmen Laura Aúz-Alexandre; Cristina Chamizo; Sandra Zazo; Almudena López-Sánchez; Socorro María Rodríguez-Pinilla; Laura Camacho; Raquel Longarón; Beatriz Bellosillo; Rosa Somoza; Javier Hernández-Losa; Víctor Manuel Fernández-Soria; Ricardo Ramos-Ruiz; Ion Cristóbal; Jesús García-Foncillas; Federico Rojo
Journal:  PeerJ       Date:  2020-10-06       Impact factor: 2.984

Review 2.  Heterogeneity in Colorectal Cancer: A Challenge for Personalized Medicine?

Authors:  Chiara Molinari; Giorgia Marisi; Alessandro Passardi; Laura Matteucci; Giulia De Maio; Paola Ulivi
Journal:  Int J Mol Sci       Date:  2018-11-23       Impact factor: 5.923

3.  EGFR T790M detection in formalin-fixed paraffin-embedded tissues of patients with lung cancer using RNA-based in situ hybridization: A preliminary feasibility study.

Authors:  Shafei Wu; Xiaohua Shi; Xiaoyan Si; Yuanyuan Liu; Tao Lu; Li Zhang; Zhiyong Liang; Xuan Zeng
Journal:  Thorac Cancer       Date:  2019-08-13       Impact factor: 3.500

Review 4.  Current and future advances in genetic testing in systemic autoinflammatory diseases.

Authors:  Oskar Schnappauf; Ivona Aksentijevich
Journal:  Rheumatology (Oxford)       Date:  2019-11-01       Impact factor: 7.580

5.  Clinical and Molecular-Based Approach in the Evaluation of Hepatocellular Carcinoma Recurrence after Radical Liver Resection.

Authors:  Salvatore Gruttadauria; Floriana Barbera; Pier Giulio Conaldi; Duilio Pagano; Rosa Liotta; Enrico Gringeri; Roberto Miraglia; Gaetano Burgio; Marco Barbara; Giada Pietrosi; Calogero Cammà; Fabrizio Di Francesco
Journal:  Cancers (Basel)       Date:  2021-01-29       Impact factor: 6.639

6.  Implementation of an NGS panel for clinical practice in paraffin-embedded tissue samples from locally advanced and metastatic melanoma patients.

Authors:  Paola Castillo; Marta Marginet; Pedro Jares; Mireia García; Elena Gonzalvo; Ana Arance; Adriana García; Llucia Alos; Cristina Teixido
Journal:  Explor Target Antitumor Ther       Date:  2020-04-28

7.  Genetic Characterization of Molecular Targets in Korean Patients with Gastrointestinal Stromal Tumors.

Authors:  Joonhong Park; Han Mo Yoo; Hae Jung Sul; Soyoung Shin; Seung Woo Lee; Jeong Goo Kim
Journal:  J Gastric Cancer       Date:  2019-12-27       Impact factor: 3.720

8.  Amplicon-Based NGS Panels for Actionable Cancer Target Identification in Follicular Cell-Derived Thyroid Neoplasia.

Authors:  Majbritt Busk Madsen; Katalin Kiss; Finn Cilius Nielsen; Finn Noe Bennedbæk; Maria Rossing
Journal:  Front Endocrinol (Lausanne)       Date:  2020-03-24       Impact factor: 5.555

Review 9.  Best practices for variant calling in clinical sequencing.

Authors:  Daniel C Koboldt
Journal:  Genome Med       Date:  2020-10-26       Impact factor: 11.117

  9 in total

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