Targeted capture-based NGS is superior to multiplex PCR-based NGS for hereditary BRCA1 and BRCA2 gene analysis in FFPE tumor samples.


Journal

BMC cancer
ISSN: 1471-2407
Titre abrégé: BMC Cancer
Pays: England
ID NLM: 100967800

Informations de publication

Date de publication:
27 Apr 2019
Historique:
received: 05 04 2018
accepted: 05 04 2019
entrez: 29 4 2019
pubmed: 29 4 2019
medline: 27 8 2019
Statut: epublish

Résumé

With the introduction of Olaparib treatment for BRCA-deficient recurrent ovarian cancer, testing for somatic and/or germline mutations in BRCA1/2 genes in tumor tissues became essential for treatment decisions. In most cases only formalin-fixed paraffin-embedded (FFPE) samples, containing fragmented and chemically modified DNA of minor quality, are available. Thus, multiplex PCR-based sequencing is most commonly applied in routine molecular testing, which is predominantly focused on the identification of known hot spot mutations in oncogenes. We compared the overall performance of an adjusted targeted capture-based enrichment protocol and a multiplex PCR-based approach for calling of pathogenic SNVs and InDels using DNA extracted from 13 FFPE tissue samples. We further applied both strategies to seven blood samples and five matched FFPE tumor tissues of patients with known germline exon-spanning deletions and gene-wide duplications in BRCA1/2 to evaluate CNV detection based solely on panel NGS data. Finally, we analyzed DNA from FFPE tissues of 11 index patients from families suspected of having hereditary breast and ovarian cancer, of whom no blood samples were available for testing, in order to identify underlying pathogenic germline BRCA1/2 mutations. The multiplex PCR-based protocol produced inhomogeneous coverage among targets of each sample and between samples as well as sporadic amplicon drop out, leading to insufficiently or non-covered nucleotides, which subsequently hindered variant detection. This protocol further led to detection of PCR-artifacts that could easily have been misinterpreted as pathogenic mutations. No such limitations were observed by application of an adjusted targeted capture-based protocol, which allowed for CNV calling with 86% sensitivity and 100% specificity. All pathogenic CNVs were confirmed in the five matched FFPE tumor samples from patients carrying known pathogenic germline mutations and we additionally identified somatic loss of the second allele in BRCA1/2. Furthermore we detected pathogenic BRCA1/2 variants in four the eleven FFPE samples from patients of whom no blood was available for analysis. We demonstrate that an adjusted targeted capture-based enrichment protocol is superior to commonly applied multiplex PCR-based protocols for reliable BRCA1/2 variant detection, including CNV-detection, using FFPE tumor samples.

Sections du résumé

BACKGROUND BACKGROUND
With the introduction of Olaparib treatment for BRCA-deficient recurrent ovarian cancer, testing for somatic and/or germline mutations in BRCA1/2 genes in tumor tissues became essential for treatment decisions. In most cases only formalin-fixed paraffin-embedded (FFPE) samples, containing fragmented and chemically modified DNA of minor quality, are available. Thus, multiplex PCR-based sequencing is most commonly applied in routine molecular testing, which is predominantly focused on the identification of known hot spot mutations in oncogenes.
METHODS METHODS
We compared the overall performance of an adjusted targeted capture-based enrichment protocol and a multiplex PCR-based approach for calling of pathogenic SNVs and InDels using DNA extracted from 13 FFPE tissue samples. We further applied both strategies to seven blood samples and five matched FFPE tumor tissues of patients with known germline exon-spanning deletions and gene-wide duplications in BRCA1/2 to evaluate CNV detection based solely on panel NGS data. Finally, we analyzed DNA from FFPE tissues of 11 index patients from families suspected of having hereditary breast and ovarian cancer, of whom no blood samples were available for testing, in order to identify underlying pathogenic germline BRCA1/2 mutations.
RESULTS RESULTS
The multiplex PCR-based protocol produced inhomogeneous coverage among targets of each sample and between samples as well as sporadic amplicon drop out, leading to insufficiently or non-covered nucleotides, which subsequently hindered variant detection. This protocol further led to detection of PCR-artifacts that could easily have been misinterpreted as pathogenic mutations. No such limitations were observed by application of an adjusted targeted capture-based protocol, which allowed for CNV calling with 86% sensitivity and 100% specificity. All pathogenic CNVs were confirmed in the five matched FFPE tumor samples from patients carrying known pathogenic germline mutations and we additionally identified somatic loss of the second allele in BRCA1/2. Furthermore we detected pathogenic BRCA1/2 variants in four the eleven FFPE samples from patients of whom no blood was available for analysis.
CONCLUSIONS CONCLUSIONS
We demonstrate that an adjusted targeted capture-based enrichment protocol is superior to commonly applied multiplex PCR-based protocols for reliable BRCA1/2 variant detection, including CNV-detection, using FFPE tumor samples.

Identifiants

pubmed: 31029168
doi: 10.1186/s12885-019-5584-6
pii: 10.1186/s12885-019-5584-6
pmc: PMC6487025
doi:

Substances chimiques

BRCA1 Protein 0
BRCA2 Protein 0
Formaldehyde 1HG84L3525

Types de publication

Journal Article

Langues

eng

Pagination

396

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Auteurs

Falk Zakrzewski (F)

Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), Schubertstraße 15, 01307, Dresden, Germany. Falk.Zakrzewski@uniklinikum-dresden.de.

Laura Gieldon (L)

Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), Schubertstraße 15, 01307, Dresden, Germany.
Institute for Clinical Genetics, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Andreas Rump (A)

Institute for Clinical Genetics, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Michael Seifert (M)

Institute for Medical Informatics and Biometry (IMB), Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
National Center for Tumor Diseases (NCT), Dresden, Germany.

Konrad Grützmann (K)

Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), Schubertstraße 15, 01307, Dresden, Germany.

Alexander Krüger (A)

Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), Schubertstraße 15, 01307, Dresden, Germany.

Sina Loos (S)

Institute of Pathology, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.

Silke Zeugner (S)

Institute of Pathology, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.

Karl Hackmann (K)

Institute for Clinical Genetics, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Joseph Porrmann (J)

Institute for Clinical Genetics, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Johannes Wagner (J)

Institute for Clinical Genetics, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Karin Kast (K)

National Center for Tumor Diseases (NCT), Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.
Department of Gynecology and Obstetrics, University Hospital Carl Gustav Carus Dresden, TU Dresden, Dresden, Germany.

Pauline Wimberger (P)

National Center for Tumor Diseases (NCT), Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.
Department of Gynecology and Obstetrics, University Hospital Carl Gustav Carus Dresden, TU Dresden, Dresden, Germany.

Gustavo Baretton (G)

Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), Schubertstraße 15, 01307, Dresden, Germany.
National Center for Tumor Diseases (NCT), Dresden, Germany.
Institute of Pathology, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.
Tumor- and Normal Tissue Bank of the University Cancer Center (UCC), University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases (NCT) Dresden, Dresden, Germany.

Evelin Schröck (E)

Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), Schubertstraße 15, 01307, Dresden, Germany.
Institute for Clinical Genetics, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
National Center for Tumor Diseases (NCT), Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.

Daniela Aust (D)

Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), Schubertstraße 15, 01307, Dresden, Germany.
National Center for Tumor Diseases (NCT), Dresden, Germany.
Institute of Pathology, University Hospital Carl Gustav Carus Dresden, Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.
Tumor- and Normal Tissue Bank of the University Cancer Center (UCC), University Hospital Carl Gustav Carus Dresden, Technische Universität Dresden, National Center for Tumor Diseases (NCT) Dresden, Dresden, Germany.

Barbara Klink (B)

Core Unit for Molecular Tumor Diagnostics (CMTD), National Center for Tumor Diseases (NCT), Schubertstraße 15, 01307, Dresden, Germany.
Institute for Clinical Genetics, Medical Faculty Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
National Center for Tumor Diseases (NCT), Dresden, Germany.
German Cancer Consortium (DKTK), Dresden, Germany.

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Classifications MeSH