The Carolina Breast Cancer Study (CBCS) Phase III is a continuation of a successful SPORE-supported population-based study examining genetic and epidemiologic risk factors and characteristics of breast cancer with a focus on African-American (AA) and premenopausal breast cancer. Studies from the approximately 2000 breast cancer patients participating in CBCS Phases I and II demonstrated that patients with AA race and young age had a high prevalence ofthe poor prognosis Basal-like breast cancer, and conversely a low prevalence ofthe good prognosis Luminal A subtype. Additionally, reevaluafion of traditional risk factors suggested considerable heterogeneity in effects by subtype;unique genetic and lifestyle factor associations have been observed for basal-like breast cancer, sometimes with effects in the opposite direction as expected based on associations with overall breast cancer risk. Based on these results, we hypothesize that the higher incidence and mortality from breast cancer in younger African American women compared to white women is due to a combination of factors, including differences in tumor biology, access to care, and type of treatment received. Furthermore, we hypothesize that continued comprehensive investigation of these factors will identify specific clinical and public health interventions to lower breast cancer mortality. To identify the factors that are associated with each breast cancer subtype, CBCS Phase III was opened in 2008, expanding the previous 24-county catchment area of Phases l-ll to 44 counties across North Carolina, and will accrue an additional 1500 AA women and 1500 non-AA women by 2014. The goal of CBCS III is to identify determinants of disparities in breast cancer clinical outcomes, including biologic, racial, socioeconomic, behavioral factors, and to identify modifiable factors in clinical care (delivery and access) that address the causes of disparities. CBCS Phase III is beyond the scope of a single funding source and is broadly supported by the University and other mechanisms, however there are crucial translational implications of this project. Specifically, SPORE funding for gene expression profiling on the tumors (Aim 1), which will enable evaluation of differences in risk factors distribution by subtype (Aim 2), and will be used for collection of treatment and outcome data to assess survival outcomes (Aim 3). This study will provide a comprehensive picture ofthe biology and epidemiology of breast cancer and breast cancer disparities, from risk to survival.
Examination of factors affecting risk, behavior, and prognosis within and across tumor subtypes, and between AA and non-AA women, will identify determinants of racial disparities in breast cancer risk and outcome.
|Johnson, Gary L; Stuhlmiller, Timothy J; Angus, Steven P et al. (2014) Molecular pathways: adaptive kinome reprogramming in response to targeted inhibition of the BRAF-MEK-ERK pathway in cancer. Clin Cancer Res 20:2516-22|
|Chen, Christina T L; Liu, Ching-Ti; Chen, Gary K et al. (2014) Meta-analysis of loci associated with age at natural menopause in African-American women. Hum Mol Genet 23:3327-42|
|Phillips, Sarah; Prat, Aleix; Sedic, Maja et al. (2014) Cell-state transitions regulated by SLUG are critical for tissue regeneration and tumor initiation. Stem Cell Reports 2:633-47|
|Prat, A; Lluch, A; Albanell, J et al. (2014) Predicting response and survival in chemotherapy-treated triple-negative breast cancer. Br J Cancer 111:1532-41|
|Mango, Robert L; Wu, Qing Ping; West, Michelle et al. (2014) C-C chemokine receptor 5 on pulmonary mesenchymal cells promotes experimental metastasis via the induction of erythroid differentiation regulator 1. Mol Cancer Res 12:274-82|
|Palmer, Julie R; Viscidi, Emma; Troester, Melissa A et al. (2014) Parity, lactation, and breast cancer subtypes in African American women: results from the AMBER Consortium. J Natl Cancer Inst 106:|
|Tao, Jessica J; Castel, Pau; Radosevic-Robin, Nina et al. (2014) Antagonism of EGFR and HER3 enhances the response to inhibitors of the PI3K-Akt pathway in triple-negative breast cancer. Sci Signal 7:ra29|
|Mose, Lisle E; Wilkerson, Matthew D; Hayes, D Neil et al. (2014) ABRA: improved coding indel detection via assembly-based realignment. Bioinformatics 30:2813-5|
|Gatza, Michael L; Silva, Grace O; Parker, Joel S et al. (2014) An integrated genomics approach identifies drivers of proliferation in luminal-subtype human breast cancer. Nat Genet 46:1051-9|
|Allott, E H; Tse, C-K; Olshan, A F et al. (2014) Non-steroidal anti-inflammatory drug use, hormone receptor status, and breast cancer-specific mortality in the Carolina Breast Cancer Study. Breast Cancer Res Treat 147:415-21|
Showing the most recent 10 out of 276 publications