Purpose: Genetic ancestry influences evolutionary pathways of cancers. However, whether ancestry influences cancer-induced field defects is unknown. The goal of this study was to utilize ancestry-mapped true normal breast tissues as controls to identify cancer-induced field defects in normal tissue adjacent to breast tumors (NATs) in women of African American (AA) and European (EA) ancestry.Experimental Design: A tissue microarray comprising breast tissues of ancestry-mapped 100 age-matched healthy women from the Komen Tissue Bank (KTB) at Indiana University (Indianapolis, IN) and tumor-NAT pairs from 100 women (300 samples total) was analyzed for the levels of ZEB1, an oncogenic transcription factor that is central to cell fate, mature luminal cell-enriched estrogen receptor alpha (ERa), GATA3, FOXA1, and for immune cell composition.Results: ZEB1 þ cells, which were localized surrounding the ductal structures of the normal breast, were enriched in the KTB-normal of AA compared with KTB-normal of EA women. In contrast, in EA women, both NATs and tumors compared with KTB-normal contained higher levels of ZEB1 þ cells. FOXA1 levels were lower in NATs compared with KTB-normal in AA but not in EA women. We also noted variations in the levels of GATA3, CD8 þ T cells, PD1 þ immune cells, and PDL1 þ cell but not CD68 þ macrophages in NATs of AA and EA women. ERa levels did not change in any of our analyses, pointing to the specificity of ancestrydependent variations.Conclusions: Genetic ancestry-mapped tissues from healthy individuals are required for proper assessment and development of cancer-induced field defects as early cancer detection markers. This finding is significant in light of recent discoveries of influence of genetic ancestry on both normal biology and tumor evolution. Conception and design: H. Nakshatri, C. D'Souza-Schorey Development of methodology: H. Nakshatri, M.L. Cox, G.E. Sandusky Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): H. Nakshatri, M.L. Cox, M. Jacobsen, A.M.V. Storniolo Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis):