Combinatorial Microenvironments Impose a Continuum of Cellular Responses to a Single Pathway-Targeted Anti-cancer Compound  Chun-Han Lin, Tiina Jokela,

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Combinatorial Microenvironments Impose a Continuum of Cellular Responses to a Single Pathway-Targeted Anti-cancer Compound  Chun-Han Lin, Tiina Jokela, Joe Gray, Mark A. LaBarge  Cell Reports  Volume 21, Issue 2, Pages 533-545 (October 2017) DOI: 10.1016/j.celrep.2017.09.058 Copyright © 2017 The Author(s) Terms and Conditions

Cell Reports 2017 21, 533-545DOI: (10.1016/j.celrep.2017.09.058) Copyright © 2017 The Author(s) Terms and Conditions

Figure 1 Isolating the Effects of Individual Components of Combinatorial Microenvironments on Lap Responses (A) Experimental design illustrative diagram and a representative image of cells on a MEMA feature. Scale bars, 100 μm. (B–J) Bar graphs of GLM analyses showing the mean EdU incorporation across all microenvironments that contain the indicated component, focusing on ECM (B, E, and H), ligand (C, F, and I), or stiffness (D, G, and J). The cell lines considered were HCC1569 (B–D), A549 (E–G), and PC3 (H–J). Data are relative incorporation of EdU expressed as a percentage of DMSO-treated cells, presented as mean ± SEM (n = 60 for each microenvironment). Individually, ECM and stiffness were identified as significant drivers of Lap response in HCC1569 and A549. Cell Reports 2017 21, 533-545DOI: (10.1016/j.celrep.2017.09.058) Copyright © 2017 The Author(s) Terms and Conditions

Figure 2 Identification of Synergistic Interacting Microenvironment Components (A) A diagram showing each of the pairwise interactions that were tested (i–vi) between individual components of microenvironments. (B–D) Clustered heatmaps represent Z scores of EdU incorporation in all the microenvironments that contain both of the indicated components, including an ECM with a ligand (i), stiffness with an ECM (ii), drug treatment with stiffness (iii), drug treatment with ligand (iv), stiffness with a ligand (v), and drug treatment with an ECM (vi). These pairwise interactions were tested in HCC1569 (B), A549 (C), and PC3 (D). Each cell line showed resistance (red) or sensitivity (blue) to Lap in unique combinations of ECM and soluble ligands (n = 60 for each microenvironment). Cell Reports 2017 21, 533-545DOI: (10.1016/j.celrep.2017.09.058) Copyright © 2017 The Author(s) Terms and Conditions

Figure 3 Cell Morphologies Imposed by Combinatorial Microenvironments Co-organize with Drug-Response Phenotypes (A–D) The impact of microenvironment on eight different morphometric measurements in HCC1569, A549, and PC3 cells are visualized with PCA. Each data point is one microenvironment composition, and the major variants are derived from morphological features. Colors represent matrix rigidity (A) (2,500 Pa [red] and 40 kPa [green]), ECM (B), ligand (C), and drug treatments (D) in HCC1569, A549, and PC3. (E) Bar graphs represent mean ± SEM. EdU incorporated as a percentage of DMSO-treated cells (i.e., drug response) in HCC1569, A549, and PC3 cells treated with Lap alone or Lap with verteporfin, averaged across all microenvironments (n = 60 for each microenvironment). Cell Reports 2017 21, 533-545DOI: (10.1016/j.celrep.2017.09.058) Copyright © 2017 The Author(s) Terms and Conditions

Figure 4 Microenvironments Modulate Ratios of pHER2 and Total HER2, which Correlates with Lap Resistance (A–I) Bar graphs represent the ratio of pHER2/HER2 in HCC1569 modulated by ECM (A, D, and G), stiffness (B, E, and H), and ligand (C, F, and I). Data were analyzed by the GLM in cells treated with DMSO (A, B, and C), Lap (D, E, and F), and Lap and verteporfin (G, H, and I). (J) Line graph represents the ratio of pHER2/HER2 and Lap responses of HCC1569 in different matrix rigidity determined by fluorescence-activated cell sorting (FACS) (n = 3; 10,000 cells/condition per experiment). (K and L) Line graph represents the correlation between pHER2/HER2 ratio of HCC1569 modulated by ECM (K) and ligand (L) versus EdU incorporation determined on MEMAs. r2 and p values were calculated from Pearson correlation coefficients. All bar graph data are presented as mean ± SEM (n = 60 for each microenvironment). Cell Reports 2017 21, 533-545DOI: (10.1016/j.celrep.2017.09.058) Copyright © 2017 The Author(s) Terms and Conditions

Figure 5 Adhesion to FN Increases Nuclear YAP Translocation and Confers Lap Resistance in HCC1569 Cells (A) Bar graph represents drug responses of HCC1569 cells cultured on type I collagen (C1)-coated or FN (FN)-coated glass coverslips and treated with Lap or Lap plus verteporfin. Data are presented as mean ± SEM (n = 3; 500 cells/condition per experiment). (B) Bar graph represents the distribution of YAP (C > N, higher in the cytoplasm; N = C, distributed equally between the nucleus and cytoplasm; N > C, higher in the nucleus) of HCC1569 cells cultured on C1 or FN, treated with or without AZD0530. Data are presented as mean ± SEM (n = 3; 100 cells/condition per experiment). (C) Scatterplots represent the correlation of protein levels between FN and YAP in basal, HER2-enriched, luminal A, and luminal B subtypes of breast cancer. r2 and p values were calculated from Pearson correlation coefficients. (D) Kaplan-Meier plots represent the survival rate as affected by protein level of FN in basal, HER2-enriched, luminal A, and luminal B subtypes of breast cancer. p values were calculated using the log-rank (Mantel-Cox) test. (E) Kaplan-Meier plots represent the survival rate as affected by protein level of FN in T1, T2, and T3–T4 pathological stages of breast cancer. p values were calculated using the log-rank (Mantel-Cox) test. Cell Reports 2017 21, 533-545DOI: (10.1016/j.celrep.2017.09.058) Copyright © 2017 The Author(s) Terms and Conditions