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ATCC
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Image Search Results
Journal: Journal of Experimental & Clinical Cancer Research : CR
Article Title: Therapeutic impact of Nintedanib with paclitaxel and/or a PD-L1 antibody in preclinical models of orthotopic primary or metastatic triple negative breast cancer
doi: 10.1186/s13046-018-0999-5
Figure Lengend Snippet: Paclitaxel and its combination with nintedanib increased median survival in the advanced metastatic breast cancer LM2–4 model. a ) Kaplan-Meier survival curves and median survival values. Paclitaxel (PTX) significantly increased median survival compared to the control group ( p = 0.033; Log-rank (Mantel Cox) Test, n = 8–10). Combination therapy increased median survival (81 days vs 60.5 days, control group) but it did not reach significance. Treatment started around 40 days after cell implantation. b) Effect of sunitinib alone and when combined with PTX in the advanced metastatic LM2–4 breast cancer model. Kaplan-Meier survival curves and median survival values. Modified from Guerin et al., 2013 . PTX alone increased survival whereas sunitinib alone did not, and adding sunitinib to PTX did not result in increased efficacy
Article Snippet: The EMT-6 (
Techniques: Control, Modification
Journal: Journal of Experimental & Clinical Cancer Research : CR
Article Title: Therapeutic impact of Nintedanib with paclitaxel and/or a PD-L1 antibody in preclinical models of orthotopic primary or metastatic triple negative breast cancer
doi: 10.1186/s13046-018-0999-5
Figure Lengend Snippet: Improvement of immunotherapy efficacy when treating primary tumors with nintedanib combination therapy . a ) Tumor growth in the primary EMT-6 breast cancer model. Treatment was started when average tumor volume was 120mm 3 , around 7 days after cell implantation. Statistical analysis on day 27. ANOVA followed by Tukey’s Multiple Comparison Test * p < 0.05, ** p < 0.01. Data are presented as means ± SD, n = 6. Region of flat line in the curves means that tumor in remaining mice had regressed, and in the case of mice treated with PD-L1 antibody, tumors grew back. Mice were treated with nintedanib and/or paclitaxel (PTX) for 70 days, and then treatment stopped. b) Tumor growth in the primary EMT-6/CDDP model. Treatment was started when average tumor volume was 120mm 3 , 7 days after cell implantation. Statistical analysis on day 27. Kruskal-Wallis test followed by Dunn’s Multiple Comparison Test, ** p < 0.01. Data are presented as means ± SD, n = 9–12. c-f) Effect of nintedanib, paclitaxel, anti-PD-L1 and the drug combinations on c) Vascularity; d) Proliferation; e) CD8+ tumor infiltrating cells; and f) Level of Necrosis. Histology and immunohistochemistry analyses were performed on tumor samples obtained from mice implanted with EMT-6/CDDP cells. Treatment was started when average tumor volume was 120mm 3 and all mice were sacrificed after 10 days of treatment. The Mann-Whitney test was used for statistical analyses. Data are presented as means ± SD, n = 6–7
Article Snippet: The EMT-6 (
Techniques: Comparison, Immunohistochemistry, MANN-WHITNEY
Journal: Scientific Reports
Article Title: Fast and efficient isolation of murine circulating tumor cells using screencell technology for pre-clinical analyzes
doi: 10.1038/s41598-024-66032-x
Figure Lengend Snippet: Different volumes of WT mice blood collected either within ( A ) heparin tubes or ( B ) EDTA tubes were filtered with ScreenCell Cyto kits. Similar volumes of PyMT cancer mice blood were also processed with ScreenCell Cyto kits ( C ). To evaluate the correct morphology of cancer cells in EDTA tubes, MCF7, and 4T1 breast cancer cell lines were spiked into WT mice blood and processed with ScreenCell Cyto kits. The images were taken using 40X magnification ( D ). To evaluate the recovery rate of ScreenCell technology, either 0, 5, or 10 MCF7 cells were spiked into 100 µl of blood samples of healthy WT mice. Captured cancer cells were counted on Cyto ISs and recovery rate was calculated in percentage. Data are presented as mean ± SEM (n = 6) ( E ). All experiments were repeated at least 2 times.
Article Snippet:
Techniques:
Journal: Scientific Reports
Article Title: Fast and efficient isolation of murine circulating tumor cells using screencell technology for pre-clinical analyzes
doi: 10.1038/s41598-024-66032-x
Figure Lengend Snippet: This figure represents the 4T1 cancer cells isolated using ScreenCell Cyto kits either immediately after the blood draw (left image, 40X) or after 24 h of preservation at 4 °C in EDTA tubes (right image, 40X). This experiment was performed 4 times. T0: time zero.
Article Snippet:
Techniques: Isolation, Preserving
Journal: Scientific Reports
Article Title: Fast and efficient isolation of murine circulating tumor cells using screencell technology for pre-clinical analyzes
doi: 10.1038/s41598-024-66032-x
Figure Lengend Snippet: ScreenCell Cyto kits can isolate both single and cluster CTCs. ( A ) After spiking into WT mice blood, both single and cluster 4T1 cells were captured by ScreenCell Cyto kits. ( B ) Single and cluster CTCs were also efficiently captured from breast cancer mice blood. In all conditions, CTCs were distinguishable from normal epithelial cells according to their morphological features. These experiments were performed at least 3 times. All images are taken using 40X magnification, except for the CTC cluster (lower right) which is in 20X.
Article Snippet:
Techniques:
Journal: Scientific Reports
Article Title: Fast and efficient isolation of murine circulating tumor cells using screencell technology for pre-clinical analyzes
doi: 10.1038/s41598-024-66032-x
Figure Lengend Snippet: DNA concentration from WT mouse blood with or without spiked 4T1 cells isolated by ScreenCell MB device.
Article Snippet:
Techniques: Concentration Assay, Isolation
Journal: Scientific Reports
Article Title: Fast and efficient isolation of murine circulating tumor cells using screencell technology for pre-clinical analyzes
doi: 10.1038/s41598-024-66032-x
Figure Lengend Snippet: 4T1 cells were spiked into WT mice blood and filtered with ScreenCell MB kits. ISs were then directly inserted into 24 well plates and cultured for 10 days. The images of D0, D5, and D10 with RAL coloration are taken using 40X, and D10 without coloration is taken with 20X magnification. This experiment was performed 4 times. D: Day.
Article Snippet:
Techniques: Cell Culture
Journal: International Journal of Nanomedicine
Article Title: Improving the solubility and in vitro cytotoxicity (anticancer activity) of ferulic acid by loading it into cyclodextrin nanosponges
doi: 10.2147/IJN.S206350
Figure Lengend Snippet: MTT viability assay for ( A ) MCF7 and ( B ) 4T1 cell lines treated with different formulations of ferulic acid (FA)-loaded cyclodextrin nanosponges (NS) and various interval times at 570 nm.
Article Snippet: MCF7 (human breast cancer) and
Techniques: MTT Viability Assay
Journal: International Journal of Nanomedicine
Article Title: Improving the solubility and in vitro cytotoxicity (anticancer activity) of ferulic acid by loading it into cyclodextrin nanosponges
doi: 10.2147/IJN.S206350
Figure Lengend Snippet: 4T1 cell lines treated with different formulations: control cells ( A ); ferulic acid, 250 µM ( B ); nanosponges, 250 µM ( C ); ferulic acid-loaded nanosponges, 250 µM ( D ). Microscopic magnification ×10 K, after 24 hrs of incubation.
Article Snippet: MCF7 (human breast cancer) and
Techniques: Incubation
Journal: bioRxiv
Article Title: Low albumin status accompanies multi-layered immunosuppressive phenotypes in metastatic breast cancer patients
doi: 10.1101/2023.09.05.556440
Figure Lengend Snippet: a. Heatmap showing the Pearson correlation coefficients between the clinical characteristics (age and albumin levels) and the module eigengenes generated by WGCNA. In each column, the upper number indicates the Pearson correlation coefficient and the lower number in parentheses indicates a p -value calculated by WGCNA. See also Extended Data Fig. 2a, b for scale independence and mean connectivity of this analysis. b. Bar plot showing log 2 fold changes of module-3 genes between metastatic breast cancer patients (MBC) and healthy volunteers (HV). Genes showing negative correlations to albumin levels are shown in green. Genes showing positive correlations to albumin levels are shown in orange. Genes are ordered according to their correlation to albumin levels. The names of the top10 genes most strongly negatively correlating with albumin levels are indicated. c. The plasma albumin levels of sham-operated and 4T1 breast cancer-bearing mice measured 14 days after transplantation. Data are presented as the mean ± SEM. The p- value is shown (non-paired, two-tailed Student t -test). n = 11 for sham-operated mice, n = 11 for 4T1-bearing mice. d. Heatmap of module-3 genes showing the same direction of changes in the 4T1 breast cancer model compared to the human datasets. Genes are ordered according to their correlation to albumin levels in humans. The names of the top10 genes most strongly negatively correlating with albumin levels in humans are indicated. See also Extended Data Fig. 2c, d for the mouse data.
Article Snippet:
Techniques: Generated, Clinical Proteomics, Transplantation Assay, Two Tailed Test
Journal: bioRxiv
Article Title: Low albumin status accompanies multi-layered immunosuppressive phenotypes in metastatic breast cancer patients
doi: 10.1101/2023.09.05.556440
Figure Lengend Snippet: a. Heatmap of select module-2 genes showing the same direction of changes in the 4T1 breast cancer model compared to the human datasets. Genes are ordered according to their correlation to albumin levels in humans. The names of the top10 genes most strongly positively correlating with albumin levels in humans are indicated. b. Correlation of plasma albumin levels and log 2 normalized scores of CD8A in PBMC. c. Correlation of plasma albumin levels and log 2 normalized scores of KLRG1 in PBMC. d. Correlation of plasma albumin levels and log 2 normalized scores of CRTAM in PBMC. e. UMAP plot for CD8A . f. UMAP plot for KLRG1 . g. UMAP plot for CRTAM h. Estimated abundance of CD8 + T cells in PBMC calculated by ImmuCell-AI and its correlation to plasma albumin levels. i. Estimated abundance of γδ T cells in PBMC calculated by ImmuCell-AI and its correlation to plasma albumin levels. See also Extended Data Fig. 4b for the data related to natural killer cells. See also Extended Data Fig. 4a, c, d for the mouse data for CD8 + T cells, γδ T cells, and natural killer cells, respectively. j. Correlation of plasma albumin levels and log 2 normalized scores of TRDV2 in PBMC. k. UMAP plot for TRDV2 . b-d, j. Scores are normalized to the average scores of five healthy volunteers. b-d, h, i, j. The Pearson correlation coefficients and p -values obtained by simple regression analysis (GraphPad Prism) are shown. e-g, k. The data are retrieved from previously published single-cell RNA-seq (scRNA-seq) datasets from PBMC of Japanese healthy volunteers ( n = 3 (females)) . Clusters corresponding to CD8 + T cells ( e-g ) and γδ T cells ( k ) are highlighted.
Article Snippet:
Techniques: Clinical Proteomics, RNA Sequencing