Germline reflex BRCA1/2 testing following tumor-only comprehensive genomic profiling: why, when, and how
Giulia Maneri1,2, Camilla Nero3, Luciano Giacò4
1Departmental Unit of Molecular and Genomic Diagnostics, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
JNCI Cancer Spectrum
|October 4, 2024
Summary
Tumor-only comprehensive genomic profiling (CGP) requires methods to accurately identify germline pathogenic/likely pathogenic variants (gP/LPVs). This study proposes an algorithm to guide germline reflex testing for BRCA1/2 variants after CGP.
Area of Science:
- Oncology
- Genetics
- Bioinformatics
Background:
- Comprehensive genomic profiling (CGP) is increasingly used in oncology.
- Most CGP currently lacks matched normal controls, complicating germline variant identification.
- Accurate germline pathogenic/likely pathogenic variant (gP/LPV) detection is crucial for patient management and hereditary cancer risk assessment.
Purpose of the Study:
- To develop a strategy for refining germline variant calls from tumor-only CGP.
- To reduce unnecessary germline reflex testing while improving the identification of likely gP/LPV carriers.
- To propose an algorithm for decision-making regarding germline reflex testing for BRCA1/2 variants.
Main Methods:
- Review and adaptation of existing guidelines for gP/LPV identification in BRCA1/2 genes using tumor-only CGP data.
- Development of a decision-making algorithm for germline reflex testing.
- Evaluation of the algorithm's utility in a clinical or simulated setting (details not provided in abstract).
Main Results:
- Guidelines exist for identifying gP/LPVs in BRCA1/2 from tumor-only CGP.
- A strategy is needed to differentiate somatic from germline variants.
- An algorithm is proposed to aid in the decision for germline reflex testing.
Conclusions:
- Tumor-only CGP necessitates robust methods for germline variant interpretation.
- The proposed algorithm aims to optimize the use of germline reflex testing for BRCA1/2 variants.
- Effective strategies can improve the clinical utility of CGP by accurately identifying hereditary cancer predisposition in patients.


