This study evaluates the association of dietary inflammatory potential with breast cancer risk. Information collected in this study may help doctors to identify modifiable risk factors, screen high risk patients early, improve prevention strategies, and provide timely intervention for early therapeutic management as needed.
PRIMARY OBJECTIVE: I. To evaluate the association of dietary inflammatory potential (measured by Empirical Dietary Inflammatory Pattern \[EDIP\] score) at baseline using Diet History Questionnaire III (DHQIII) food frequency questionnaire (FFQ) with the incidence of breast cancer in high risk women established in the breast cancer prevention clinic at Ohio State University Comprehensive Cancer Center (OSUCCC) - James. SECONDARY OBJECTIVES: I. To evaluate changes in inflammatory potential of diet (EDIP score) from baseline FFQ and subsequently administered annually, and determine how these dietary changes relate to breast cancer risk longitudinally. II. To evaluate associations of dietary inflammatory potential (EDIP score) with measures of obesity including bone marrow index (BMI) (obesity defined as \>= 30, non-obese \< 30) and abdominal/visceral adiposity (waist-hip ratio \[WHR\] \> 0.85 or waist circumference \[WC\] \>= 80 cm in women) at baseline. III. To evaluate the association of dietary inflammatory potential (EDIP score) with mammographic breast density by breast imaging reporting and data system (BIRADS) classification at baseline. CORRELATIVE OBJECTIVES: I. To evaluate the correlation of baseline and annual inflammatory blood-based biomarkers (IL-6, hsCRP, adiponectin, leptin, insulin resistance \[Homeostatic Model Assessment for Insulin Resistance (HOMA-IR)\]) with: a) dietary inflammatory potential (EDIP score) and b) visceral adiposity (waist-hip ratio \> 0.85 or waist circumference \>= 80 cm in women) and c) mammographic breast density by BIRADS classification at baseline and longitudinally (every year for 5 years). II. To evaluate the association of baseline circulating biomarkers (hsCRP, TNF-a, insulin resistance \[HOMA-IR\]) and breast cancer incidence longitudinally in high risk patients. EXPLORATORY OBJECTIVES: I. Describe utilization of supplemental imaging by type, including breast magnetic resonance imaging (MRI), automated breast ultrasound (ABUS) and contrasted-enhanced spectral mammography (CESM), in all enrolled women. II. Describe use of chemoprevention strategies (initiation of tamoxifen, raloxifene, aromatase inhibitor (AI), or other) in women presenting at the high risk clinic at OSUCCC-James. OUTLINE: Patients complete physical measurements every 6 months and complete questionnaires annually for 5 years. Patients are followed up annually in years 5-10.
Study Type
OBSERVATIONAL
Enrollment
960
Undergo follow up
Complete physical measurements
Complete questionnaires
Ohio State University Comprehensive Cancer Center
Columbus, Ohio, United States
RECRUITINGTime to breast cancer events during study follow up
Will be expressed as the means, medians and standard deviations (for continuous variables) or frequencies and percentages (for categorical variables). To assess the association of baseline Empirical Dietary Inflammatory pattern (EDIP) scores with breast cancer incidence, Cox proportional hazards regression will be used to estimate the hazard ratio (HR) and its 95% confidence interval (CI).
Time frame: Up to 10 years
Bone marrow index
Will be expressed as the means, medians and standard deviations (for continuous variables) or frequencies and percentages (for categorical variables).
Time frame: Up to 10 years
Waist-hip ratio
Will be expressed as the means, medians and standard deviations (for continuous variables) or frequencies and percentages (for categorical variables).
Time frame: Up to 10 years
Waist circumference
Will be expressed as the means, medians and standard deviations (for continuous variables) or frequencies and percentages (for categorical variables).
Time frame: Up to 10 years
Mammographic breast density
Will be measured by breast imaging reporting and data system. Will be expressed as the means, medians and standard deviations (for continuous variables) or frequencies and percentages (for categorical variables).
Time frame: Up to 10 years
The Ohio State University Comprehensive Cancer Center
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