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Detection of Clinically Significant BRCA Large Genomic Rearrangements in FFPE Ovarian Cancer Samples: A Comparative
Alessia Perrucci1,2, Maria De Bonis1,2, Giulia Maneri1,2
1Departmental Unit of Molecular and Genomic Diagnostics, Fondazione Policlinico Gemelli IRCCS, 00168 Rome, Italy.
Next-generation sequencing (NGS) effectively detects copy number variations (CNVs) in formalin-fixed paraffin-embedded (FFPE) ovarian cancer samples. This approach, combined with bioinformatics tools, improves BRCA testing accuracy and may reduce the need for additional germline testing.
Area of Science:
- Genomics
- Molecular Diagnostics
Background:
- Copy number variations (CNVs) are critical in BRCA1/2 (BRCA) testing.
- Next-generation sequencing (NGS) is established for detecting large genomic rearrangements (LGRs).
- CNV detection in formalin-fixed paraffin-embedded (FFPE) samples presents challenges for routine clinical practice.
Purpose of the Study:
- To evaluate the performance of an amplicon-based NGS panel for detecting BRCA CNVs in FFPE samples.
- To assess the clinical utility of NGS-based CNV analysis in FFPE samples for ovarian cancer patients.
Main Methods:
- Analyzed 40 FFPE ovarian cancer samples using the Diatech Myriapod NGS BRCA1/2 panel.
- Compared NGS results with two hybrid capture-based reference assays for CNV detection.
- Assessed the ability to detect BRCA CNVs in FFPE samples.
Main Results:
- The Diatech NGS pipeline demonstrated good concordance with reference methods for BRCA CNV detection.
- All CNVs were correctly identified in 16 out of 17 CNV-positive samples with adequate sequencing quality.
- One result was inconclusive due to low sequencing quality.
Conclusions:
- NGS-based CNV analysis is clinically useful in FFPE samples when supported by appropriate bioinformatics tools.
- Integrating visual inspection and automated calling enhances CNV detection reliability.
- Accurate CNV detection from tumor tissue may decrease the need for germline testing, shortening turnaround times, but blood testing is essential for determining origin.
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