Abstract 3212
Background
The application of the Next Generation Sequencing (NGS) technology has facilitated multigene panel testing for hereditary breast cancer (BC) in clinical practice. We performed a retrospective analysis of individuals referred for testing in our lab aiming to investigate the contribution of included genes and evaluate current genetic testing guidelines in BC.
Methods
In total, 1141 BC patients and 184 unaffected individuals with family history (FH) of BC were referred from physicians for testing using a multigene panel. Genomic DNA was enriched for targeted regions of 33 genes and sequencing was carried out using the Illumina NGS technology. The presence of large genomic rearrangements (LGRs) was investigated computationally and by Multiplex Ligation-dependent Probe Amplification (MLPA).
Results
A pathogenic variant (PV) was identified in 22% (291/1325) of analyzed individuals and in specific in 23.2% of BC patients and 14.1% of unaffected individuals (P = 0.006). Among individuals with PVs, 49.1% were located in the BRCA1/2 genes whereas 8.6%, 22.7% and 19.6% occurred in other high, moderate and low-risk genes respectively. Notably, 21 of the 291 positive individuals (7.2%) carried clinically significant variants in two different genes and 6.5% had a LGR. A retrospective analysis of positive individuals showed that 88.3% of BC patients met the NCCN criteria for further genetic risk evaluation compared to 80.8% of unaffected individuals with FH of BC (P = 0.269). In BRCA-positive cases, NCCN criteria were met in 92.3% of the referrals compared to 81.8% in individuals positive for other genes (P = 0.008).
Conclusions
Extended multigene panel testing in hereditary BC facilitates the detection of nearly twice as many individuals that could benefit from personalized management. In our cohort, the currently used selection criteria for HBOC failed to identify only 12.7% of individuals positive for pathogenic variants, suggesting strong selection strategies from physicians. However, our results indicate that selection criteria perform better for the identification of BRCA-positive BC patients and should be revised to facilitate towards the inclusion of BC patients with PVs in other genes.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
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