Carolin C Hack1, Julius Emons1, Sebastian M Jud1, Katharina Heusinger1, Werner Adler2, Paul Gass1, Lothar Haeberle1, Felix Heindl1, Alexander Hein1, Rüdiger Schulz-Wendtland3, Michael Uder3, Arndt Hartmann4, Matthias W Beckmann1, Peter A Fasching5, Uwe G Pöhls6. 1. Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen/European Metropolitan Area Nuremberg (CCC ER-EMN), Universitätsstrasse 21-23, 91054, Erlangen, Germany. 2. Institute of Biometry and Epidemiology, Friedrich Alexander University of Erlangen-Nuremberg, Erlangen, Germany. 3. Institute of Diagnostic Radiology, Erlangen University Hospital, Erlangen, Germany. 4. Institute of Pathology, Erlangen University Hospital, Comprehensive Cancer Center Erlangen/European Metropolitan Area Nuremberg (CCC ER-EMN), Erlangen, Germany. 5. Department of Gynecology and Obstetrics, Erlangen University Hospital, Comprehensive Cancer Center Erlangen/European Metropolitan Area Nuremberg (CCC ER-EMN), Universitätsstrasse 21-23, 91054, Erlangen, Germany. peter.fasching@uk-erlangen.de. 6. Practice of Dr. Pöhls, Women's Health Center of Würzburg, Würzburg, Germany.
Abstract
PURPOSE: Percentage mammographic density (PMD) is a major risk factor for breast cancer (BC). It is strongly associated with body mass index (BMI) and age, which are themselves risk factors for breast cancer. This analysis investigated the association between the number of full-term pregnancies and PMD in different subgroups relative to age and BMI. METHODS: Patients were identified in the breast cancer database of the University Breast Center for Franconia. A total of 2410 patients were identified, for whom information on parity, age, and BMI, and a mammogram from the time of first diagnosis were available for assessing PMD. Linear regression analyses were conducted to investigate the influence on PMD of the number of full-term pregnancies (FTPs), age, BMI, and interaction terms between them. RESULTS: As in previous studies, age, number of FTPs, and BMI were found to be associated with PMD in the expected direction. However, including the respective interaction terms improved the prediction of PMD even further. Specifically, the association between PMD and the number of FTPs differed in young patients under the age of 45 (mean decrease of 0.37 PMD units per pregnancy) from the association in older age groups (mean decrease between 2.29 and 2.39 PMD units). BMI did not alter the association between PMD and the number of FTPs. CONCLUSIONS: The effect of pregnancies on mammographic density does not appear to become apparent before the age of menopause. The mechanism that drives the effect of pregnancies on mammographic density appears to be counter-regulated by other influences on mammographic density in younger patients.
PURPOSE: Percentage mammographic density (PMD) is a major risk factor for breast cancer (BC). It is strongly associated with body mass index (BMI) and age, which are themselves risk factors for breast cancer. This analysis investigated the association between the number of full-term pregnancies and PMD in different subgroups relative to age and BMI. METHODS:Patients were identified in the breast cancer database of the University Breast Center for Franconia. A total of 2410 patients were identified, for whom information on parity, age, and BMI, and a mammogram from the time of first diagnosis were available for assessing PMD. Linear regression analyses were conducted to investigate the influence on PMD of the number of full-term pregnancies (FTPs), age, BMI, and interaction terms between them. RESULTS: As in previous studies, age, number of FTPs, and BMI were found to be associated with PMD in the expected direction. However, including the respective interaction terms improved the prediction of PMD even further. Specifically, the association between PMD and the number of FTPs differed in young patients under the age of 45 (mean decrease of 0.37 PMD units per pregnancy) from the association in older age groups (mean decrease between 2.29 and 2.39 PMD units). BMI did not alter the association between PMD and the number of FTPs. CONCLUSIONS: The effect of pregnancies on mammographic density does not appear to become apparent before the age of menopause. The mechanism that drives the effect of pregnancies on mammographic density appears to be counter-regulated by other influences on mammographic density in younger patients.
Entities:
Keywords:
Age; Body mass index; Breast cancer; Breast density; Full-term pregnancy; Mammographic density
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