scholarly journals Percent mammographic density prediction: development of a model in the nurses’ health studies

2017 ◽  
Vol 28 (7) ◽  
pp. 677-684 ◽  
Author(s):  
Megan S. Rice ◽  
Bernard A. Rosner ◽  
Rulla M. Tamimi
2017 ◽  
Vol 19 (1) ◽  
Author(s):  
Natalie C. DuPre ◽  
Jaime E. Hart ◽  
Kimberly A. Bertrand ◽  
Peter Kraft ◽  
Francine Laden ◽  
...  

Climacteric ◽  
2017 ◽  
Vol 20 (3) ◽  
pp. 280-284
Author(s):  
F. R. Torelli ◽  
M. F. Brancalion ◽  
D. A. Yela ◽  
C. L. Benetti-Pinto

2012 ◽  
Vol 14 (1) ◽  
Author(s):  
Celine M Vachon ◽  
Jingmei Li ◽  
Christopher G Scott ◽  
Per Hall ◽  
Kamila Czene ◽  
...  

2021 ◽  
Author(s):  
Marco Fornili ◽  
Vittorio Perduca ◽  
Agnès Fournier ◽  
Allan Jérolon ◽  
Marie Christine Boutron-Ruault ◽  
...  

Abstract BACKGROUND Menopausal hormone therapy (MHT) is a risk factor for breast cancer (BC). Evidence suggests that its effect on BC risk could be partly mediated by mammographic density. The aim of this study was to investigate the relationship between MHT, mammographic density and BC risk using data from a prospective study. METHODS We used data from a case-control study nested within the French cohort E3N including 453 cases and 453 matched controls. Measures of mammographic density, history of MHT use during follow-up and information on potential confounders were available for all women. The association of mammographic density with MHT was evaluated by linear regression models. Mediation modelling techniques were applied to estimate under the hypothesis of a causal model the proportion of the effect of MHT on BC risk mediated by percent mammographic density for BC overall and by hormonal receptor status. RESULTS Among MHT users, only 4.2% used exclusively estrogens compared with 68.3% who used exclusively estrogens plus progestogens. Mammographic density was higher in current users (mean percent mammographic density for a 60 year old woman 33%; 95% CI: 31% to 35%) than in past (29%; 27% to 31%) and never users (24%; 22% to 26%). Mammographic density increased with the duration of MHT within one year of therapy and reached a steady state thereafter. After MHT discontinuation, mammographic density decreased with time since last use and reached values similar to those of never users after 8 years. The OR of BC for current versus never MHT users, adjusted for age, year of birth, menopausal status at baseline and BMI, was 1.67 (95% CI, 1.04 to 2.68). The proportion of effect mediated by percent mammographic density was 34% for any BC and became 48% when the correlation between BMI and percent mammographic density was accounted for. These effects were limited to hormone receptor positive BC. CONCLUSIONS Our results suggest that under a causal model nearly half of the effect of MHT on hormone receptor positive BC risk is mediated by mammographic density, which appears to be modified by MHT for up to 8 years after MHT termination.


2020 ◽  
Author(s):  
Marco Fornili ◽  
Vittorio Perduca ◽  
Agnès Fournier ◽  
Allan Jérolon ◽  
Marie Christine Boutron-Ruault ◽  
...  

Abstract BACKGROUND: Menopausal hormone therapy (MHT) is a risk factor for breast cancer (BC). Evidence suggests that its effect on BC risk could be partly mediated by mammographic density. The aim of this study is to investigate the relationship between MHT, mammographic density and BC risk using data from a prospective study.METHODS: The data analyzed refer to a case-control study nested into the French cohort E3N and include 453 cases and 453 matched controls. A quantitative measure of mammographic density, a detailed history of MHT use during follow-up and information on potential confounders were available for all women. The association of mammographic density with MHT duration and time since last use was evaluated by linear regression models. Mediation modelling techniques were applied to estimate under the hypothesis of a causal model the proportion of the effect of MHT on BC risk mediated by percent mammographic density for BC overall and by ER/PR status.RESULTS: Mammographic density was higher in current (mean percent mammographic density 33%; 95% CI: 31–35%) than in former (29%; 95% CI 27% to 31) and never users (24%; 95% CI, 22–26%). Mammographic density increased with the duration of MHT within one year of therapy and reached a steady state thereafter. After discontinuation of the therapy, mammographic density decreased with time since last use and reached values similar to those of never users after 8 years. The OR of BC for current versus never MHT users, adjusted for age, year of birth, menopausal status at baseline and BMI, was 1.67 (95% CI, 1.04 to 2.68). The proportion of effect mediated by percent mammographic density was 34% on the log scale for any BC and became 48% when the correlation between BMI and percent mammographic density was accounted for. These results are limited to hormone receptor positive BCs.CONCLUSIONS: Our results suggest that under a causal model the effect of MHT on BC risk was partially mediated by MD that appeared to be modified by MHT for up to 8 years after MHT termination.


2012 ◽  
Vol 21 (14) ◽  
pp. 3299-3305 ◽  
Author(s):  
Kristen N. Stevens ◽  
Sara Lindstrom ◽  
Christopher G. Scott ◽  
Deborah Thompson ◽  
Thomas A. Sellers ◽  
...  

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Mathilde His ◽  
Martin Lajous ◽  
Liliana Gómez-Flores-Ramos ◽  
Adriana Monge ◽  
Laure Dossus ◽  
...  

Abstract Background While mammographic density is one of the strongest risk factors for breast cancer, little is known about its determinants, especially in young women. We applied targeted metabolomics to identify circulating metabolites specifically associated with mammographic density in premenopausal women. Then, we aimed to identify potential correlates of these biomarkers to guide future research on potential modifiable determinants of mammographic density. Methods A total of 132 metabolites (acylcarnitines, amino acids, biogenic amines, glycerophospholipids, sphingolipids, hexose) were measured by tandem liquid chromatography/mass spectrometry in plasma samples from 573 premenopausal participants in the Mexican Teachers’ Cohort. Associations between metabolites and percent mammographic density were assessed using linear regression models, adjusting for breast cancer risk factors and accounting for multiple tests. Mean concentrations of metabolites associated with percent mammographic density were estimated across levels of several lifestyle and metabolic factors. Results Sphingomyelin (SM) C16:1 and phosphatidylcholine (PC) ae C30:2 were inversely associated with percent mammographic density after correction for multiple tests. Linear trends with percent mammographic density were observed for SM C16:1 only in women with body mass index (BMI) below the median (27.4) and for PC ae C30:2 in women with a BMI over the median. SM C16:1 and PC ae C30:2 concentrations were positively associated with cholesterol (total and HDL) and inversely associated with number of metabolic syndrome components. Conclusions We identified new biomarkers associated with mammographic density in young women. The association of these biomarkers with mammographic density and metabolic parameters may provide new perspectives to support future preventive actions for breast cancer.


2015 ◽  
Vol 8 (1) ◽  
Author(s):  
Elizabeth J Atkinson ◽  
Jeanette E Eckel-Passow ◽  
Alice Wang ◽  
Alexandra J Greenberg ◽  
Christopher G Scott ◽  
...  

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