2021
DOI: 10.3390/cancers13215391
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Biological Mechanisms and Therapeutic Opportunities in Mammographic Density and Breast Cancer Risk

Abstract: Mammographic density is an important risk factor for breast cancer; women with extremely dense breasts have a four to six fold increased risk of breast cancer compared to women with mostly fatty breasts, when matched with age and body mass index. High mammographic density is characterised by high proportions of stroma, containing fibroblasts, collagen and immune cells that suggest a pro-tumour inflammatory microenvironment. However, the biological mechanisms that drive increased mammographic density and the as… Show more

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Cited by 12 publications
(7 citation statements)
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References 208 publications
(263 reference statements)
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“…Understanding, and correctly classifying the driving components of MD (reviewed in ref. 57 ) into those that influence breast cancer risk, and using those for future studies could increase results precision and the degree of mediation detected. Motivated by a recent study that explored a similarly heterogenous effect of IGF-1 on type 2 diabetes using MR-Clust and pathway analysis 58 , in our work, we attempted to characterise pathways that may be underlying the identified positive and negative effect clusters.…”
Section: Discussionmentioning
confidence: 99%
“…Understanding, and correctly classifying the driving components of MD (reviewed in ref. 57 ) into those that influence breast cancer risk, and using those for future studies could increase results precision and the degree of mediation detected. Motivated by a recent study that explored a similarly heterogenous effect of IGF-1 on type 2 diabetes using MR-Clust and pathway analysis 58 , in our work, we attempted to characterise pathways that may be underlying the identified positive and negative effect clusters.…”
Section: Discussionmentioning
confidence: 99%
“…There is also a strong possibility that not all contributors to MD influence breast cancer risk. Understanding, and correctly classifying the driving components of MD (reviewed in [57]) into those that influence breast cancer risk, and using those for future studies could increase results precision and the degree of mediation detected. Motivated by a recent study that explored a similarly heterogenous effect of IGF-1 on type 2 diabetes using MR-Clust and pathway analysis [58], in our work, we attempted to characterise pathways that may be underlying the identified positive and negative effect clusters.…”
Section: Discussionmentioning
confidence: 99%
“…High breast density appears on a mammogram as white areas and signifies a high abundance of fibroglandular tissue in the breast in proportion to the abundance of adipose tissue. Breast density is typically quantified as ‘percent mammographic density’, calculated as the ratio of the area of dense breast tissue to the total area of breast tissue [ 1 , 2 ]. Breast density impacts upon both breast cancer risk and the early detection of breast cancer on a mammogram and has become a major focus of interest within the medical, scientific, and broader community [ 3 , 4 ].…”
Section: Introductionmentioning
confidence: 99%