DENSITAS MAMOGRAFI METODE NILAI AMBANG, KADAR ESTRADIOL, DAN POLIMORFISME RESEPTOR ESTROGEN 1 SEBAGAI PREDIKTOR KANKER PAYUDARA

Background: Breast cancer is the leading cause of women cancer mortality and the morbidity in worldwide as well as in Indonesia. The incidence rate continuously increases each year therefore breast cancer emerges as one of major health problems, therefore breast cancer emerges as one of major health...

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Bibliographic Details
Main Authors: , Lina Choridah, dr., Sp.Rad, , Prof. Dr. dr. Teguh Aryandono, Sp.B(K) Onk.
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2013
Subjects:
ETD
Description
Summary:Background: Breast cancer is the leading cause of women cancer mortality and the morbidity in worldwide as well as in Indonesia. The incidence rate continuously increases each year therefore breast cancer emerges as one of major health problems, therefore breast cancer emerges as one of major health problems. Despite of the fact that the detailed mechanism of breast carcinogenesis is not yet fully understood, estrogen is believed to play an important role in the development and progression of breast cancer by inducing cell proliferation and generating genotoxic metabolites. Estradiol is the main estrogen species produced in women and estrogen receptor α, encoded by ESR 1 gene, is the main estrogen receptor. The mixed results on success of anti-estrogen therapy are believed, in one hand, due to polymorphisms of the ESR 1. Mammographic densities reflect the differences in the number of stromal, epithelial, and fat tissue. In general, mammographic densities are equivalent to the cell proliferation, which is thought to be affected by estrogen. Women with higher mammographic density have greater risk to suffer from breast cancer. Objectives: To determine the role of mammographic density, estradiol level, and ESR1 polymorphisms as predictors of estrogenic factors associated breast cancer risk in Javanese ethnic population in Indonesia, and to create a model for calculating breast cancer risk using the percentage of mammographic densities that subsequently can be used as a reference for prevention as well as intervention to reduce breast cancer risk. Methods: We performed an observational study