TY - JOUR
T1 - Detecting Large Germline Rearrangements of BRCA1 by Next Generation Tumor Sequencing
AU - Minucci, Angelo
AU - Mazzuccato, G.
AU - Marchetti, Claudia
AU - Pietragalla, A.
AU - Scambia, Giovanni
AU - Fagotti, Anna
AU - Urbani, Andrea
PY - 2020
Y1 - 2020
N2 - Abstract: A majority of BRCA1/2 (BRCA) pathogenic variants (PVs) are single nucleotide substitutions or small insertions/deletions. Copy number variations (CNVs), also known as large genomic rearrangements (LGRs), have been identified in BRCA genes. LGRs detection is a mandatory analysis in hereditary breast and ovarian cancer families, if no predisposing PVs are found by sequencing. Next generation sequencing (NGS) may be used to detect structural variation, since quantitative analysis of sequencing reads, when coupled with appropriate bioinformatics tools, is capable of estimating and predicting germline LGRs (gLGRs). However, applying this approach to tumor tissue is challenging, and the pipelines for determination of CNV are yet to be optimized. The aim of this study was to validate the Next Generation Tumor Sequencing (NGTS) technology to detect various gLGRs of BRCA1 locus in surgical tumor tissue samples. In this study, seven different BRCA1 gLGRs, previously found in high-grade serous ovarian cancers (HGSOC) patients, were detected in tumor samples collected from the patients at a time of HGSOC surgery. This study demonstrated that NGS can accurately detect BRCA1 gLGRs in primary tumors, suggesting that gLGR evaluation in BRCA1 locus should be performed in cases when the screening for BRCA alterations starts from tumor instead of blood. NGS sequencing of tumor samples may become the preferred method to detect both somatic and germline gLGRs in BRCA-encoding loci.
AB - Abstract: A majority of BRCA1/2 (BRCA) pathogenic variants (PVs) are single nucleotide substitutions or small insertions/deletions. Copy number variations (CNVs), also known as large genomic rearrangements (LGRs), have been identified in BRCA genes. LGRs detection is a mandatory analysis in hereditary breast and ovarian cancer families, if no predisposing PVs are found by sequencing. Next generation sequencing (NGS) may be used to detect structural variation, since quantitative analysis of sequencing reads, when coupled with appropriate bioinformatics tools, is capable of estimating and predicting germline LGRs (gLGRs). However, applying this approach to tumor tissue is challenging, and the pipelines for determination of CNV are yet to be optimized. The aim of this study was to validate the Next Generation Tumor Sequencing (NGTS) technology to detect various gLGRs of BRCA1 locus in surgical tumor tissue samples. In this study, seven different BRCA1 gLGRs, previously found in high-grade serous ovarian cancers (HGSOC) patients, were detected in tumor samples collected from the patients at a time of HGSOC surgery. This study demonstrated that NGS can accurately detect BRCA1 gLGRs in primary tumors, suggesting that gLGR evaluation in BRCA1 locus should be performed in cases when the screening for BRCA alterations starts from tumor instead of blood. NGS sequencing of tumor samples may become the preferred method to detect both somatic and germline gLGRs in BRCA-encoding loci.
KW - BRCA1/2 genes
KW - NGS sequencing of tumor DNA
KW - copy number variations
KW - high grade serous ovarian cancer
KW - large genomic rearrangements
KW - BRCA1/2 genes
KW - NGS sequencing of tumor DNA
KW - copy number variations
KW - high grade serous ovarian cancer
KW - large genomic rearrangements
UR - http://hdl.handle.net/10807/167479
U2 - 10.1134/S0026893320030127
DO - 10.1134/S0026893320030127
M3 - Article
SN - 0026-8933
VL - 54
SP - 464
EP - 473
JO - Molecular Biology
JF - Molecular Biology
ER -