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Published on: February 2, 2024
Homologous Recombination Deficiency Detection Algorithms: A Systematic Review
Lasse Ringsted Mark1,2, Simone Karlsson Terp1,2, Henrik Bygum Krarup1,2,3
1Department of Molecular Diagnostics, Aalborg University Hospital, DK-9000 Aalborg, Denmark.
Homologous recombination deficiency (HRD) testing is crucial for identifying patients who may benefit from PARP inhibitors. This review compares current HRD tests, highlighting the need for a standardized definition and approach for accurate clinical application.
Area of Science:
- Oncology
- Genetics
- Molecular Biology
Background:
- Homologous recombination deficiency (HRD) is linked to genomic instability and can predict response to PARP inhibitors (PARPis).
- HRD can result from germline/somatic variants or alterations in DNA repair pathways.
- Several tests exist for HRD detection, but a gold standard is lacking.
Purpose of the Study:
- To systematically review and compare existing tests for detecting HRD.
- To identify challenges and factors influencing HRD test selection and definition.
Main Methods:
- Systematic literature search of PubMed/Medline and Embase.
- Inclusion of 27 eligible articles for analysis.
- Comparison of HRD tests based on definitions, biomarkers, and algorithms.
Main Results:
- Significant variability exists in HRD definitions, impacting classification rates and performance.
- No universal consensus on a gold standard HRD test has been achieved.
- The choice of HRD definition critically affects sample classification.
Conclusions:
- A lack of consensus on HRD definition complicates test comparison and clinical utility.
- This review provides an overview of current HRD tests to guide future research.
- Standardizing HRD definitions and test selection is vital for clinical trials and patient care.
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