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Variation of biomarkers and molecular subtypes of breast cancer among the German and Sudanese women
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Cancer Science & Therapy

ISSN: 1948-5956

Open Access

Variation of biomarkers and molecular subtypes of breast cancer among the German and Sudanese women


3rd World Congress on Women’s Health & Breast Cancer

October 03-05, 2016 London, UK

Delgermaa Demchig

University of Sydney, Australia

Posters & Accepted Abstracts: J Cancer Sci Ther

Abstract :

Background: Breast density is a significant risk factor for breast cancer and an important determinant for establishing efficiency of screening program. However, the level and distribution of breast density is unknown among Mongolian women. Aim: To characterize breast density among Mongolian women. Method: We recruited 1985 women aged 16-83 from National Cancer Center in Mongolia. From the total group, 983 women also had available details on height, weight and body mass index (BMI). We investigated the association of each of these variables with breast density, which was quantified by using the Breast Imaging Reporting and Data System (BI-RADS) lexicon. Univariate and multivariate regression analysis were conducted to explore the relative importance of dichotomous variables as predictors of MD, dichotomized into high and low density. Result: Overall, category B (scattered areas of fibro-glandular density) was the most common type of MD, and a total of 1147 (57.7%) and 838 (42.3%) women were classified as having low density (BI-RADS type A; B) and high density (BI-RADS C; D), respectively. The proportion of extremely dense breast was 24% for Mongolian women. In the full model, 75% of variation in MD was explained by the measured risk factors and age (OR=5.2, 95% CI: 3.8-7.0), weight (OR=3.5, 95% CI: 2.6-4.8) and height (OR=0.5, 95% CI: 0.3-0.8) were the significant predictors for MD, whilst area of residency did not contribute to the model. Conclusion: These findings suggest that a meaningful proportion of Mongolian have high density breasts. The work has demonstrated a number of agents associated with varying levels of MD.

Biography :

Email: ddem2574@uni.sydney.edu.au

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Citations: 3968

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