Literature DB >> 28465148

Competitive PCR-High Resolution Melting Analysis (C-PCR-HRMA) for large genomic rearrangements (LGRs) detection: A new approach to assess quantitative status of BRCA1 gene in a reference laboratory.

Angelo Minucci1, Elisa De Paolis2, Paola Concolino2, Maria De Bonis2, Roberta Rizza2, Giulia Canu2, Giovanni Luca Scaglione2, Flavio Mignone3, Giovanni Scambia4, Cecilia Zuppi2, Ettore Capoluongo5.   

Abstract

AIM OF THE STUDY: Evaluation of copy number variation (CNV) in BRCA1/2 genes, due to large genomic rearrangements (LGRs), is a mandatory analysis in hereditary breast and ovarian cancers families, if no pathogenic variants are found by sequencing. LGRs cannot be detected by conventional methods and several alternative methods have been developed. Since these approaches are expensive and time consuming, identification of alternative screening methods for LGRs detection is needed in order to reduce and optimize the diagnostic procedure. The aim of this study was to investigate a Competitive PCR-High Resolution Melting Analysis (C-PCR-HRMA) as molecular tool to detect recurrent BRCA1 LGRs.
MATERIAL AND METHODS: C-PCR-HRMA was performed on exons 3, 14, 18, 19, 20 and 21 of the BRCA1 gene; exons 4, 6 and 7 of the ALB gene were used as reference fragments.
RESULTS: This study showed that it is possible to identify recurrent BRCA1 LGRs, by melting peak height ratio between target (BRCA1) and reference (ALB) fragments. Furthermore, we underline that a peculiar amplicon-melting profile is associated to a specific BRCA1 LGR. All C-PCR-HRMA results were confirmed by Multiplex ligation-dependent probe amplification.
CONCLUSIONS: C-PCR-HRMA has proved to be an innovative, efficient and fast method for BRCA1 LGRs detection. Given the sensitivity, specificity and ease of use, c-PCR-HRMA can be considered an attractive and powerful alternative to other methods for BRCA1 CNVs screening, improving molecular strategies for BRCA testing in the context of Massive Parallel Sequencing.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BRCA1/2 genes; Competitive PCR-High Resolution Melting Analysis; Large genomic rearrangements detection; Massive Parallel Sequencing

Mesh:

Year:  2017        PMID: 28465148     DOI: 10.1016/j.cca.2017.04.026

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  7 in total

1.  Duplex high resolution melting analysis (dHRMA) to detect two hot spot CYP24A1 pathogenic variants (PVs) associated to idiopathic infantile hypercalcemia (IIH).

Authors:  Maria De Bonis; Elisa De Paolis; Maria Elisabetta Onori; Giorgia Mazzuccato; Antonio Gatto; Pietro Ferrara; Pietro Manuel Ferraro; Andrea Urbani; Angelo Minucci
Journal:  Mol Biol Rep       Date:  2021-04-17       Impact factor: 2.316

2.  High resolution melting profiles (HRMPs) obtained by magnetic induction cycler (MIC) have been used to monitor the BRCA2 status highlighted by next generation tumor sequencing (NGTS): a combined approach in a diagnostic environment.

Authors:  Giorgia Mazzuccato; Maria De Bonis; Vittoria Carboni; Claudia Marchetti; Andrea Urbani; Giovanni Scambia; Ettore Capoluongo; Anna Fagotti; Angelo Minucci
Journal:  Mol Biol Rep       Date:  2020-05-28       Impact factor: 2.316

3.  BRCA testing in a genomic diagnostics referral center during the COVID-19 pandemic.

Authors:  Angelo Minucci; Giovanni Scambia; Concetta Santonocito; Paola Concolino; Andrea Urbani
Journal:  Mol Biol Rep       Date:  2020-05-09       Impact factor: 2.316

4.  BRCA testing delay during the COVID-19 pandemic: How to act?

Authors:  Angelo Minucci; Giovanni Scambia; Maria De Bonis; Elisa De Paolis; Concetta Santonocito; Anna Fagotti; Ettore Capoluongo; Paola Concolino; Andrea Urbani
Journal:  Mol Biol Rep       Date:  2020-12-12       Impact factor: 2.316

Review 5.  The Progress of the Specific and Rapid Genetic Detection Methods for Ovarian Cancer Diagnosis and Treatment.

Authors:  Kejun Dong; Wei Zhang; Shuangshuang Cheng; Wan Shu; Rong Zhao; Hongbo Wang
Journal:  Technol Cancer Res Treat       Date:  2022 Jan-Dec

6.  Preliminary molecular evidence associating a novel BRCA1 synonymous variant with hereditary ovarian cancer syndrome.

Authors:  Angelo Minucci; Paola Concolino; Maria De Bonis; Alessandra Costella; Ida Paris; Giovanni Scambia; Ettore Capoluongo
Journal:  Hum Genome Var       Date:  2018-04-20

7.  Genome-wide DNA copy number profiling and bioinformatics analysis of ovarian cancer reveals key genes and pathways associated with distinct invasive/migratory capabilities.

Authors:  GuiFen Liu; GuanYu Ruan; MeiMei Huang; LiLi Chen; PengMing Sun
Journal:  Aging (Albany NY)       Date:  2020-01-02       Impact factor: 5.682

  7 in total

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