30
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Obstetric history and mammographic density: a population-based cross-sectional study in Spain (DDM-Spain)

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          High mammographic density (MD) is used as a phenotype risk marker for developing breast cancer. During pregnancy and lactation the breast attains full development, with a cellular-proliferation followed by a lobular-differentiation stage. This study investigates the influence of obstetric factors on MD among pre- and post-menopausal women. We enrolled 3,574 women aged 45–68 years who were participating in breast cancer screening programmes in seven screening centers. To measure MD, blind anonymous readings were taken by an experienced radiologist, using craniocaudal mammography and Boyd’s semiquantitative scale. Demographic and reproductive data were directly surveyed by purpose-trained staff at the date of screening. The association between MD and obstetric variables was quantified by ordinal logistic regression, with screening centre introduced as a random effect term. We adjusted for age, number of children and body mass index, and stratified by menopausal status. Parity was inversely associated with density, the probability of having high MD decreased by 16% for each new birth ( P value < 0.001). Among parous women, a positive association was detected with duration of lactation [>9 months: odds ratio (OR) = 1.33; 95% confidence interval (CI) = 1.02–1.72] and weight of first child (>3,500 g: OR = 1.32; 95% CI = 1.12–1.54). Age at first birth showed a different effect in pre- and post-menopausal women ( P value for interaction = 0.030). No association was found among pre-menopausal women. However, in post-menopausal women the probability of having high MD increased in women who had their first child after the age of 30 (OR = 1.53; 95% CI = 1.17–2.00). A higher risk associated with birth of twins was also mainly observed in post-menopausal women (OR = 2.02; 95% CI = 1.18–3.46). Our study shows a greater prevalence of high MD in mothers of advanced age at first birth, those who had twins, those who have breastfed for longer periods, and mothers whose first child had an elevated birth weight. These results suggest the influence of hormones and growth factors over the proliferative activity of the mammary gland.

          Related collections

          Most cited references41

          • Record: found
          • Abstract: found
          • Article: not found

          Mammographic densities and breast cancer risk.

          The radiological appearance of the female breast varies among individuals because of differences in the relative amounts and X-ray attenuation characteristics of fat and epithelial and stromal tissues. Fat is radiolucent and appears dark on a mammogram, and epithelium and stroma are radiodense and appear light. We review here the evidence that these variations, known as mammographic parenchymal patterns, are related to risk of breast cancer. Studies that used quantitative measurement to classify mammographic patterns have consistently found that women with dense tissue in more than 60-75% of the breast are at four to six times greater risk of breast cancer than those with no densities. These risk estimates are independent of the effects of other risk factors and have been shown to persist over at least 10 years of follow up. Estimates of attributable risk suggest that this risk factor may account for as many as 30% of breast cancer cases. Mammographically dense breast tissue is associated both with epithelial proliferation and with stromal fibrosis. The relationship between these histological features and risk of breast cancer may by explained by the known actions of growth factors that are thought to play important roles in breast development and carcinogenesis. Mammographically dense tissue differs from most other breast cancer risk factors in the strength of the associated relative and attributable risks for breast cancer, and because it can be changed by hormonal and dietary interventions. This risk factor may be most useful as a means of investigating the etiology of breast cancer and of testing hypotheses about potential preventive strategies.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Mammographic density. Potential mechanisms of breast cancer risk associated with mammographic density: hypotheses based on epidemiological evidence

            There is now extensive evidence that mammographic density is an independent risk factor for breast cancer that is associated with large relative and attributable risks for the disease. The epidemiology of mammographic density, including the influences of age, parity and menopause, is consistent with it being a marker of susceptibility to breast cancer, in a manner similar to the concept of 'breast tissue age' described by the Pike model. Mammographic density reflects variations in the tissue composition of the breast. It is associated positively with collagen and epithelial and nonepithelial cells, and negatively with fat. Mammographic density is influenced by some hormones and growth factors as well as by several hormonal interventions. It is also associated with urinary levels of a mutagen. Twin studies have shown that most of the variation in mammographic density is accounted for by genetic factors. The hypothesis that we have developed from these observations postulates that the combined effects of cell proliferation (mitogenesis) and genetic damage to proliferating cells by mutagens (mutagenesis) may underlie the increased risk for breast cancer associated with extensive mammographic density. There is clearly a need for improved understanding of the specific factors that are involved in these processes and of the role played by the several breast tissue components that contribute to density. In particular, identification of the genes that are responsible for most of the variance in percentage density (and of their biological functions) is likely to provide insights into the biology of the breast, and may identify potential targets for preventative strategies in breast cancer.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Twinning.

              Twinning has fascinated human beings over the centuries. New technologies and large study groups have led to improved documentation of frequency and complications in twin pregnancies and long-term outcomes. Artificial reproductive technologies have led to a pronounced rise in numbers of dizygotic and monozygotic twins. Although spontaneous dizygotic twinning is clearly associated with increased concentration of follicle-stimulating hormone and ovulation of more than one egg, causes of monozygotic twinning remain illusive. Twin studies are used increasingly to study complex traits and disorders: however, caution is suggested, since twins might not be representative of a typical singleton pregnancy. Monozygotic twinning seems to represent an anomaly in itself, with an increased number of spontaneous abortions and structural congenital anomalies. Both monozygotic and dizygotic twins have growth rates that slow at 30 weeks in utero and might be programmed both developmentally and biochemically earlier in pregnancy to have different responses at birth and after birth compared with singletons.
                Bookmark

                Author and article information

                Contributors
                +34-918222635 , +34-913877815 , mpollan@isciii.es
                Journal
                Breast Cancer Res Treat
                Breast Cancer Res. Treat
                Breast Cancer Research and Treatment
                Springer US (Boston )
                0167-6806
                1573-7217
                4 January 2012
                4 January 2012
                April 2012
                : 132
                : 3
                : 1137-1146
                Affiliations
                [1 ]Cancer Epidemiology Unit, National Center of Epidemiology, Instituto de Salud Carlos III, Monforte de Lemos 5, 28029 Madrid, Spain
                [2 ]Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
                [3 ]Balearic Islands Breast Cancer Screening Programme, Health Promotion for Women and Childhood, General Directorate Public Health and Participation, Regional Authority of Health and Consumer Affairs, Balearic Islands, Spain
                [4 ]Galicia Breast Cancer Screening Programme, Regional Authority of Health, Galicia Regional Government, A Coruña, Spain
                [5 ]Aragón Breast Cancer Screening Programme, Health Service of Aragon, Zaragoza, Spain
                [6 ]Cancer Prevention and Control Unit, Catalan Institute of Oncology (ICO), Barcelona, Spain
                [7 ]Valencia Breast Cancer Screening Programme, General Directorate Public Health, Valencia, Spain
                [8 ]Centro Superior de Investigacio´n en Salud Pu´blica (CSISP), Valencia, Spain
                [9 ]Navarra Breast Cancer Screening Programme, Public Health Institute, Pamplona, Spain
                [10 ]Castile-León Breast Cancer Screening Programme, General Directorate Public Health SACYL, Burgos, Spain
                [11 ]Health and Social Welfare Department, Section for Health Promotion and Protection, Castile-León, Valladolid, Spain
                Article
                1936
                10.1007/s10549-011-1936-x
                3332340
                22215386
                634c94bb-4c55-4a65-9198-49de9bac30e3
                © The Author(s) 2012
                History
                : 18 October 2011
                : 19 December 2011
                Categories
                Epidemiology
                Custom metadata
                © Springer Science+Business Media, LLC. 2012

                Oncology & Radiotherapy
                age at first birth,obstetric history,medicine & public health,mammographic density,oncology,lactation

                Comments

                Comment on this article