Towards a more precise and individualized assessment of breast cancer risk

Aging
Marie E WoodJane B Lian

Abstract

Many clinically based models are available for breast cancer risk assessment; however, these models are not particularly useful at the individual level, despite being designed with that intent. There is, therefore, a significant need for improved, precise individualized risk assessment. In this Research Perspective, we highlight commonly used clinical risk assessment models and recent scientific advances to individualize risk assessment using precision biomarkers. Genome-wide association studies have identified >100 single nucleotide polymorphisms (SNPs) associated with breast cancer risk, and polygenic risk scores (PRS) have been developed by several groups using this information. The ability of a PRS to improve risk assessment is promising; however, validation in both genetically and ethnically diverse populations is needed. Additionally, novel classes of biomarkers, such as microRNAs, may capture clinically relevant information based on epigenetic regulation of gene expression. Our group has recently identified a circulating-microRNA signature predictive of long-term breast cancer in a prospective cohort of high-risk women. While progress has been made, the importance of accurate risk assessment cannot be understated. Precis...Continue Reading

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Citations

Nov 20, 2019·AJR. American Journal of Roentgenology·Stamatia V DestounisAndrea Arieno
Sep 21, 2019·The British Journal of Radiology·Almir Gv BitencourtElizabeth A Morris
Mar 3, 2020·Frontiers in Medicine·Farah J NassarRihab Nasr
Feb 24, 2021·Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology·Thomas P AhernMarie E Wood

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