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Implementing the Risk Stratification and Clinical Management of Breast Cancer Families Using Polygenic Risk Score Evaluation: A Pilot Study. | LitMetric

AI Article Synopsis

  • * It involved a retrospective evaluation of PRS among different risk families, showing that while PVs are critical for carriers’ risk estimation, PRS enhances risk assessment for non-carriers.
  • * The findings suggest that integrating PRS with genetic status can provide a clearer picture of individual lifetime risk, aiding personalized management strategies for both carrier and non-carrier women in BC families.

Article Abstract

Background: The identification of women at high risk of breast cancer (BC) is crucial for personalized screening strategies. Pathogenic and likely pathogenic variants (PVs/LPVs) in susceptibility risk genes explain part of the individual risk. Moreover, a polygenic background, summarized as a polygenic risk score (PRS), contributes to the risk of BC and may modify the individual risk in carrier and non-carrier members of BC families.

Methods: We performed a retrospective pilot study evaluating PRS in women from a subset of high- ( and and moderate-risk ( and ) BC families. We included PVs/LPVs carriers and non-carriers and evaluated a PRS based on 577,113 BC-associated variants. Using BOADICEA, we calculated the adjusted lifetime BC risk.

Results: Our data showed that in carriers, PVs have a major role in stratifying the lifetime risk, while PRS improves risk estimation in non-carriers of these families. A different scenario may be observed in and families where PRS combined with PV/LPV carrier status gives a more informative lifetime risk.

Conclusions: This study showed that in BC families, the PRS might help to quantify the weight of the genetic familial background, improving the individual risk stratification and contributing to personalized clinical management for carrier and non-carrier women.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11508219PMC
http://dx.doi.org/10.3390/jpm14101034DOI Listing

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