Investigation of Genetic Alterations Associated With Interval Breast Cancer
Juan Rodriguez1, Felix Grassmann1,2, Qingyang Xiao1
1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
JAMA Oncology
|January 25, 2024
Summary
Rare genetic variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2 increase the risk of interval breast cancers (ICs) and are linked to worse survival. These findings may help optimize breast cancer screening and treatment strategies.
Area of Science:
- Oncology
- Genetics
- Radiology
Background:
- Interval cancers (ICs) are diagnosed between screenings and have poorer outcomes than screen-detected cancers (SDCs).
- The role of rare germline genetic variants in IC development and prognosis is not well understood.
Purpose of the Study:
- To investigate the association between rare germline deleterious protein-truncating variants (PTVs) and the occurrence of ICs versus SDCs.
- To assess the impact of these PTVs on breast cancer-specific survival.
- To explore the influence of mammographic density on these associations.
Main Methods:
- A population-based genetic association study in Sweden included women aged 40-76 undergoing mammographic screening.
- Germline PTVs in 34 breast cancer susceptibility genes were analyzed using targeted sequencing.
- Logistic and Cox regression models were used to compare ICs with SDCs and analyze survival, respectively.
Main Results:
- PTVs in ATM, BRCA1, BRCA2, CHEK2, and PALB2 were more frequent in ICs than SDCs (OR, 1.48).
- A family history of breast cancer combined with PTVs significantly increased the likelihood of an IC diagnosis (OR, 3.95).
- Carriers of PTVs in these five genes diagnosed with IC had significantly worse 10-year breast cancer-specific survival (HR, 2.04).
- Associations were more pronounced in patients with low mammographic density.
Conclusions:
- Rare germline PTVs in specific genes are associated with interval breast cancers and reduced survival.
- Family history and PTVs synergistically increase IC risk.
- Findings may inform breast cancer screening program optimization and clinical treatment strategies.
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