| Literature DB >> 32481745 |
Golnaz Morad1,2,3, Cassandra C Daisy1, Hasan H Otu4, Towia A Libermann5,6, Simon T Dillon5,6, Marsha A Moses1,2,7.
Abstract
Breast cancer brain metastasis is a major clinical challenge and is associated with a dismal prognosis. Understanding the mechanisms underlying the early stages of brain metastasis can provide opportunities to develop efficient diagnostics and therapeutics for this significant clinical challenge. We have previously reported that breast cancer-derived extracellular vesicles (EVs) breach the blood-brain barrier (BBB) via transcytosis and can promote brain metastasis. Here, we elucidate the functional consequences of EV transport across the BBB. We demonstrate that brain metastasis-promoting EVs can be internalized by astrocytes and modulate the behavior of these cells to promote extracellular matrix remodeling in vivo. We have identified protein and miRNA signatures in these EVs that can lead to the interaction of EVs with astrocytes and, as such, have the potential to serve as targets for development of diagnostics and therapeutics for early detection and therapeutic intervention in breast cancer brain metastasis.Entities:
Keywords: blood–brain barrier; brain metastasis; breast cancer; extracellular vesicles; microRNA
Mesh:
Substances:
Year: 2020 PMID: 32481745 PMCID: PMC7311991 DOI: 10.3390/ijms21113851
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Astrocytes internalize breast cancer-derived extracellular vesicles (EVs) through the Cdc42-dependent clathrin-independent carrier/GPI-AP-enriched compartment (CLIC/GEEC) pathway. (A) Electron microscopy images of EVs isolated from parental and brain-seeking MDA-MB-231 breast cancer cells (P-EV and Br-EV, respectively). The square shows magnification of the selected area. (B) Flow cytometry quantification of TdTomato-labeled EV (TdTom-EV) uptake by astrocytes treated with chemical inhibitors of endocytosis pathways (mean ± SD; three independent experiments). Statistical analysis was performed using unpaired two-tailed Student’s t-test (** p ≤ 0.01; *** p ≤ 0.001). (C) Representative fluorescence microscopy images of the colocalization of TdTom-EVs (red) with GFP-fused glycosylphosphatidylinositol (GPI) (green) in astrocytes from three independent experiments. White arrows show the colocalization of the TdTomato and GFP signals. Scale bar, 25 µm.
Figure 2Br-EVs are enriched in interacting partners of the clathrin-independent carrier/GPI-AP-enriched compartments (CLIC/GEEC) cargo. (A) Heatmap visualization of quantitative proteomics analyses demonstrating the significantly differentially expressed proteins (p ≤ 0.05) in Br-EVs vs. P-EVs (red demonstrates upregulation in Br-EVs). (B) Functional enrichment analysis of proteins upregulated in P-EVs (blue) and Br-EVs (orange). (C) Quantification of surface localization of membrane-associated proteins upregulated in Br-EVs, CD63 serves as positive control (mean ± SD; three independent experiments). Statistical analysis was performed using unpaired two-tailed Student’s t-test (* p ≤ 0.05).
Figure 3Br-EVs decrease the astrocyte expression of the tissue inhibitor of matrix metalloproteinases-2 (TIMP-2). (A) Schematic showing the EV functional study design. (B) Average concentration of TIMP-2 in brain tissue homogenates measured by a mouse TIMP-2 enzyme-linked immunosorbent assay (ELISA) (mean ± SD; n = six mice per group). Statistical analysis was performed using the Mann–Whitney test. (C) Average fold change in concentration of TIMP-2 in conditioned media of brain endothelial cells, pericytes and astrocytes treated with PBS, P-, and Br-EVs (mean ± SD; three independent experiments). Statistical analysis was performed using two-way ANOVA with Sidak’s multiple comparison tests. (D) Representative images of mouse brain sections immunostained with anti-GFAP (upper panels) and anti-TIMP-2 (lower panels), demonstrating colocalization of GFAP astrocyte marker and TIMP-2. Middle panels represent a colormap of areas of protein enrichment (three independent experiments). Scale bar, 200 µm. (E) Average fluorescence intensity in perfused brain tissue homogenates collected 45 min following injection of a combination of 10 KDa Alexa647 dextran and 70 KDa FITC dextran (mean ± SD; n = three mice per group). Statistical analysis was performed using the Mann–Whitney test. In all panels: ns, not significant; * p ≤ 0.05; ** p ≤ 0.01.
Figure 4miR-301a-3p in breast cancer-derived EVs downregulates astrocyte TIMP-2. (A) Complementarity between the seeding sequence of miR-301a-3p and the 3′ UTR of TIMP-2. (B) Dual luciferase reporter assay to determine the physical interaction between miR-301a-3p and TIMP-2 3′ UTR (normalized to Renilla luciferase activity, mean ± SD; three independent experiments). Statistical analysis was performed using unpaired two-tailed Student’s t-test. (C) TIMP-2 mRNA levels in astrocytes following treatment with miR-301a-3p mimic (normalized to GAPDH, mean ± SD; three independent experiments). Statistical analysis was performed using unpaired two-tailed Student’s t-test. (D) Levels of miR-301a-3p in P-EVs and Br-EVs, measured against a standard curve created by miR-301a-3p mimic (mean ± SD; three independent experiments). Statistical analysis was performed using unpaired two-tailed Student’s t-test. (E) Level of primary/precursor or mature miR-301a in astrocytes following treatment with EVs (normalized to U6 expression, mean ± SD; three independent experiments). Statistical analysis was performed using two-way ANOVA with Sidak’s multiple comparison tests. (F) TIMP-2 level in astrocytes following treatment with EVs (normalized to GAPDH, mean ± SD; three independent experiments). Statistical analysis was performed using two-way ANOVA with Sidak’s multiple comparison tests. (G) Level of miR-301a-3p in brain tissue lysates (normalized to U6 levels, mean ± SD; n = six mice per group). Statistical analysis was performed using the Mann–Whitney test. (H,I) Correlation analysis between miR-301a-3p and TIMP-2 levels in brain tissue lysates in mice treated with P-EVs (H) and Br-EVs (I) (n = six mice per group). Correlation coefficient was measured using Pearson’s correlation analysis. (J) Kaplan–Meier curve demonstrating the association of miR-301a-3p levels with survival in breast cancer patients from the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) dataset [47]. In all panels: ns, not significant; * p ≤ 0.05; ** p ≤ 0.01; *** p ≤ 0.001.