Figure 1From: Loss of primary cilia occurs early in breast cancer developmentPrimary cilia expression lost early in breast cancer development. Serial sections of normal breast reduction mammoplasties (A) and invasive breast cancer tissue (B). (A, B) Left: Tissue stained with hematoxylin and eosin (H&E). Inset shows a cross-section of a normal duct. Middle: low magnification image showing nuclear staining (Hoechst). Dashed box indicates area of higher magnification represented in the adjacent panel. Right: high magnification image showing tissue stained for cilia (acetylated tubulin, red) and centrosomes (γ-tubulin, green). Insets show a magnified cilium (red) and its associated centrosome (green) in normal tissue (top panel) and the lack of a cilium in cancer (bottom panel). (C, D) Boxplot represents percent ciliated cells in the following breast tissue types: basal epithelial cells of normal breast reduction mammoplasties (RM Basal, n = 12), luminal epithelial cells of normal breast reduction mammoplasties (RM Luminal, n = 12), basal cells in histologically normal epithelium adjacent to cancer (HNE Basal, n = 15), luminal cells in histologically normal epithelium adjacent to cancer (HNE Basal, n = 15), cancer cells in carcinoma in situ lesions grades 1 and 2 combined (CIS 1&2, n = 23), cancer cells in carcinoma in situ grade 3 (CIS3, n = 16), cancer cells in invasive cancers grades 1 and 2 combined (INV 1&2, n = 40), cancer cells in invasive cancer grade 3 (INV3, n = 25). The bar graph represents the percent of patients that have an abnormally low percentage of ciliated cells (blue bars: quartile 1 (Q1), less than or equal to the 75th percentile for normal tissue) or an abnormally high percentage of ciliated cells (orange bars: quartile 4 (Q4), greater than or equal to the 25th percentile for normal tissue). (E) Percent of Ki67 positive invasive cancer cells per patient (y-axis) versus percent ciliated cancer cells for the same patient (x-axis). Statistical significance (** = P <0.01, *** = P <0.001) was determined by performing logistic regression.Back to article page