Figures & data
Figure 1. Evaluation of tumor infiltrating CD11b+ cells. (a-d) Representative immunohistochemical images of tumor infiltrating leukocytes (a) and CD11b+ cells (c) and respective negative controls (b and (d). Primary tumors obtained from A/J mice inoculated subcutaneously with NXS2-HGW NB cells were stained with either anti-CD45- (A) or anti-CD11b Ab (C) for detection of leukocytes and CD11+ cells, respectively. Magnification of 100 ×. (e) Gating strategy of flow cytometric analysis of CD11b+ cell subsets (GD2−/CD45+/CD11b+). A dot plot of GD2 and CD45 expression showing a living cell fraction (left) was used to define a GD2−/CD45+ cell population that was next characterized in terms of CD11b expression (open black curve) using a histogram (right). Isotype Ab served as a negative control (filled gray curve). (f) Quantitative analysis of leukocytes and CD11b+ cells infiltrating primary tumors in untreated mice (0.9% NaCl; white columns). Leukocytes were calculated as a percent of the viable GD2-negative CD45-positive cells relative to all viable cells detected in primary tumor tissue. Two subsets of CD11b+ (CD11b+ cells (CD11b+) and cells showing high expression of CD11b (CD11bhigh)) were calculated as a percent of viable GD2−/CD45+/CD11b+ cells relative to all viable leukocytes detected in tumor tissue
![Figure 1. Evaluation of tumor infiltrating CD11b+ cells. (a-d) Representative immunohistochemical images of tumor infiltrating leukocytes (a) and CD11b+ cells (c) and respective negative controls (b and (d). Primary tumors obtained from A/J mice inoculated subcutaneously with NXS2-HGW NB cells were stained with either anti-CD45- (A) or anti-CD11b Ab (C) for detection of leukocytes and CD11+ cells, respectively. Magnification of 100 ×. (e) Gating strategy of flow cytometric analysis of CD11b+ cell subsets (GD2−/CD45+/CD11b+). A dot plot of GD2 and CD45 expression showing a living cell fraction (left) was used to define a GD2−/CD45+ cell population that was next characterized in terms of CD11b expression (open black curve) using a histogram (right). Isotype Ab served as a negative control (filled gray curve). (f) Quantitative analysis of leukocytes and CD11b+ cells infiltrating primary tumors in untreated mice (0.9% NaCl; white columns). Leukocytes were calculated as a percent of the viable GD2-negative CD45-positive cells relative to all viable cells detected in primary tumor tissue. Two subsets of CD11b+ (CD11b+ cells (CD11b+) and cells showing high expression of CD11b (CD11bhigh)) were calculated as a percent of viable GD2−/CD45+/CD11b+ cells relative to all viable leukocytes detected in tumor tissue](/cms/asset/dfeddb34-8b6c-4ae6-b965-b3f7961625b4/koni_a_1836768_f0001_oc.jpg)
Figure 2. Effects of ADCC culture conditions on cytokine production by human NB cells and leukocytes. Concentrations of the cytokines M-CSF, GM-CSF, CCL2 and CCL20 (upper panel), TGF-β, VEGF, IFN-γ and IL-1β (middle panel) and IL-4, IL-6, IL-8 and IL-10 (lower panel) were determined by flow cytometry in supernatants 24 h after induction of GD2-directed ADCC in the presence or absence of IL-2. Rituximab served as control. Data represent mean values ± SEM of at least two independent experiments. Statistical analysis was performed with ANOVA followed by appropriate post hoc comparison test. To show IL-2-dependent impact on cytokine production, t-test was used. *P < .05 vs. LAN-1, **P < .01 vs. LAN-1, ***P < .001 vs. LAN-1, §P < .05 vs. leukocytes, §§P < .01 vs. leukocytes, §§§P < .05 vs. leukocytes, ##P < .01 vs. ADCC
![Figure 2. Effects of ADCC culture conditions on cytokine production by human NB cells and leukocytes. Concentrations of the cytokines M-CSF, GM-CSF, CCL2 and CCL20 (upper panel), TGF-β, VEGF, IFN-γ and IL-1β (middle panel) and IL-4, IL-6, IL-8 and IL-10 (lower panel) were determined by flow cytometry in supernatants 24 h after induction of GD2-directed ADCC in the presence or absence of IL-2. Rituximab served as control. Data represent mean values ± SEM of at least two independent experiments. Statistical analysis was performed with ANOVA followed by appropriate post hoc comparison test. To show IL-2-dependent impact on cytokine production, t-test was used. *P < .05 vs. LAN-1, **P < .01 vs. LAN-1, ***P < .001 vs. LAN-1, §P < .05 vs. leukocytes, §§P < .01 vs. leukocytes, §§§P < .05 vs. leukocytes, ##P < .01 vs. ADCC](/cms/asset/4bb6e375-ff8b-4aa7-92e8-27b5b6762091/koni_a_1836768_f0002_b.gif)
Figure 3. Antitumor effects of the ch14.18/CHO treatment in combination with reduction of suppressive myeloid cells in vivo. (a) Schematic overview of the treatment protocol. Four days after tumor cell injection, mice received either ch14.18/CHO or anti-CD11b Ab or 5-FU or combination of ch14.18/CHO and 5-FU. (b) Analysis of tumor growth in mice treated with either anti-CD11b Ab (open squares) or 5-FU (open circles). Controls received 0.9% NaCl (closed squares). Data are shown as mean values ± SEM. Statistical analysis of differences between anti-CD11b and control, 5-FU and control as well anti-CD11b and 5-FU groups was performed with one-tailed t-test: *P < .05 for 0.9% NaCl vs. anti-CD11b; §P < .05, §§P < .01, §§§P < .001 for 0.9% NaCl vs. 5-FU; #P < .05, ##P < .01 for anti-CD11b vs. 5-FU. (c) Analysis of tumor infiltrating effector cells of mice treated with anti-CD11b Ab (anti-CD11b, black columns) or 5-FU (5-FU, gray columns) in comparison with the untreated controls (0.9% NaCl, white columns). Leukocytes shown in % of all viable CD45+/GD2− cells and CD11b+ cells shown in % of all viable CD45+/CD11b+/GD2− cells were assessed in tumor tissue using flow cytometry analysis. To show impact of anti-CD11b and 5-FU treatments on effector cell count, t-test was used. ***P < .001 vs. 0.9% NaCl. (d) Analysis of tumor growth in mice treated with either ch14.18/CHO alone (gray circles) or ch14.18/CHO in combination with 5-FU (closed circles). Controls received 0.9% NaCl (closed squares). Data are shown as mean values ± SEM. Statistical analysis of differences between ch14.18/CHO and control, combined treatment (ch14.18/CHO + 5-FU) and control as well as combined treatment (ch14.18/CHO + 5-FU) and 5-FU groups was performed with one-tailed t-test: *P < .05, *P < .01, *P < .001 for 0.9% NaCl vs. ch14.18/CHO group; #P < .05 for ch14.18/CHO vs. combined treatment group (ch14.18/CHO + 5-FU); §P < .05, §§P < .01, §§§P < .001 for 0.9% NaCl vs. combined treatment group (ch14.18/CHO + 5-FU)
![Figure 3. Antitumor effects of the ch14.18/CHO treatment in combination with reduction of suppressive myeloid cells in vivo. (a) Schematic overview of the treatment protocol. Four days after tumor cell injection, mice received either ch14.18/CHO or anti-CD11b Ab or 5-FU or combination of ch14.18/CHO and 5-FU. (b) Analysis of tumor growth in mice treated with either anti-CD11b Ab (open squares) or 5-FU (open circles). Controls received 0.9% NaCl (closed squares). Data are shown as mean values ± SEM. Statistical analysis of differences between anti-CD11b and control, 5-FU and control as well anti-CD11b and 5-FU groups was performed with one-tailed t-test: *P < .05 for 0.9% NaCl vs. anti-CD11b; §P < .05, §§P < .01, §§§P < .001 for 0.9% NaCl vs. 5-FU; #P < .05, ##P < .01 for anti-CD11b vs. 5-FU. (c) Analysis of tumor infiltrating effector cells of mice treated with anti-CD11b Ab (anti-CD11b, black columns) or 5-FU (5-FU, gray columns) in comparison with the untreated controls (0.9% NaCl, white columns). Leukocytes shown in % of all viable CD45+/GD2− cells and CD11b+ cells shown in % of all viable CD45+/CD11b+/GD2− cells were assessed in tumor tissue using flow cytometry analysis. To show impact of anti-CD11b and 5-FU treatments on effector cell count, t-test was used. ***P < .001 vs. 0.9% NaCl. (d) Analysis of tumor growth in mice treated with either ch14.18/CHO alone (gray circles) or ch14.18/CHO in combination with 5-FU (closed circles). Controls received 0.9% NaCl (closed squares). Data are shown as mean values ± SEM. Statistical analysis of differences between ch14.18/CHO and control, combined treatment (ch14.18/CHO + 5-FU) and control as well as combined treatment (ch14.18/CHO + 5-FU) and 5-FU groups was performed with one-tailed t-test: *P < .05, *P < .01, *P < .001 for 0.9% NaCl vs. ch14.18/CHO group; #P < .05 for ch14.18/CHO vs. combined treatment group (ch14.18/CHO + 5-FU); §P < .05, §§P < .01, §§§P < .001 for 0.9% NaCl vs. combined treatment group (ch14.18/CHO + 5-FU)](/cms/asset/6fbd95f3-7e3d-4b6c-a6d3-ea992f3f23db/koni_a_1836768_f0003_b.gif)
Figure 4. Analysis of 5-FU impact on viability of tumor and effector cells in vitro. To analyze direct 5-FU impact on the viability of NB and effector cells, NXS2-HGW cells served for tumor establishment (closed circles) and leukocytes isolated from spleens of healthy mice (open circles) were incubated with six different 5-FU concentrations in the range of 6–1500 µg/ml followed by analysis of cell viability with XTT-based viability assay. Data represent mean values ± SEM of at least three independent experiments. When error bars are not visible they are covered by the symbol. Differences between the groups were statistically not significant. Kruskal-Wallis one way analysis of variance on Ranks
![Figure 4. Analysis of 5-FU impact on viability of tumor and effector cells in vitro. To analyze direct 5-FU impact on the viability of NB and effector cells, NXS2-HGW cells served for tumor establishment (closed circles) and leukocytes isolated from spleens of healthy mice (open circles) were incubated with six different 5-FU concentrations in the range of 6–1500 µg/ml followed by analysis of cell viability with XTT-based viability assay. Data represent mean values ± SEM of at least three independent experiments. When error bars are not visible they are covered by the symbol. Differences between the groups were statistically not significant. Kruskal-Wallis one way analysis of variance on Ranks](/cms/asset/dcd8bde8-8434-4016-a582-52aec45cb0f8/koni_a_1836768_f0004_b.gif)
Figure 5. Impact of the ch14.18/CHO treatment and reduction of suppressive myeloid cells on survival and gene expression. The GD2 expressing murine NB cells NXS2-HGW were injected subcutaneously into A/J mice followed by the treatment with the chimeric anti-GD2 Ab ch14.18/CHO, anti-CD11b Ab, 5-FU, or combination of ch14.18/CHO and 5-FU. (a) Comparison of OS probabilities of mice treated with either ch14.18/CHO alone (black dashed line) or 5-FU alone (gray dashed line) or ch14.18/CHO in combination with 5-FU (black solid line) with control mice (0.9% NaCl, gray solid line). Death ahead of schedule and a tumor volume of 750 mm3 were defined as event. LogRank test. *P < .05 vs. ch14.18/CHO, ***P < .001 vs. 5-FU, $$$P < .001 vs. 0.9% NaCl, #P < .05 vs. 0.9% NaCl. (b) Comparison of mRNA expression levels of suppressive myeloid cell-associated and modulating genes between primary tumor tissue and NB cells NXS2-HGW used for tumor establishment. Tumor samples were collected from tumor bearing mice treated with ch14.18/CHO, anti-CD11b, 5-FU, or ch14.18/CHO in combination with 5-FU as well as control mice. Expression levels of Arg1, IL-1β, IL-10, CCL2, NOS2, IFN-γ, M-CSFr, IL-6 r, IL-8, IDO, GM-CSF, IL-4, M-CSF, IL-6, TGF-β1, and VEGF-A were determined using RT-PCR analysis relative to the internal control GAPDH and are represented as colors. The color spectrum between light- and dark gray was used to represent the different levels of expression with light gray for low- and dark gray for high expression of the respective gene. Statistical analysis of expression level differences between anti-CD11b and control, 5-FU and control, anti-CD11b and 5-FU as well as ch14.18/CHO and ch14.18/CHO in combination with 5-FU groups was performed with one-tailed t-test: *P < .05 vs. 0.9% NaCl, #P < .05 vs. anti-CD11b
![Figure 5. Impact of the ch14.18/CHO treatment and reduction of suppressive myeloid cells on survival and gene expression. The GD2 expressing murine NB cells NXS2-HGW were injected subcutaneously into A/J mice followed by the treatment with the chimeric anti-GD2 Ab ch14.18/CHO, anti-CD11b Ab, 5-FU, or combination of ch14.18/CHO and 5-FU. (a) Comparison of OS probabilities of mice treated with either ch14.18/CHO alone (black dashed line) or 5-FU alone (gray dashed line) or ch14.18/CHO in combination with 5-FU (black solid line) with control mice (0.9% NaCl, gray solid line). Death ahead of schedule and a tumor volume of 750 mm3 were defined as event. LogRank test. *P < .05 vs. ch14.18/CHO, ***P < .001 vs. 5-FU, $$$P < .001 vs. 0.9% NaCl, #P < .05 vs. 0.9% NaCl. (b) Comparison of mRNA expression levels of suppressive myeloid cell-associated and modulating genes between primary tumor tissue and NB cells NXS2-HGW used for tumor establishment. Tumor samples were collected from tumor bearing mice treated with ch14.18/CHO, anti-CD11b, 5-FU, or ch14.18/CHO in combination with 5-FU as well as control mice. Expression levels of Arg1, IL-1β, IL-10, CCL2, NOS2, IFN-γ, M-CSFr, IL-6 r, IL-8, IDO, GM-CSF, IL-4, M-CSF, IL-6, TGF-β1, and VEGF-A were determined using RT-PCR analysis relative to the internal control GAPDH and are represented as colors. The color spectrum between light- and dark gray was used to represent the different levels of expression with light gray for low- and dark gray for high expression of the respective gene. Statistical analysis of expression level differences between anti-CD11b and control, 5-FU and control, anti-CD11b and 5-FU as well as ch14.18/CHO and ch14.18/CHO in combination with 5-FU groups was performed with one-tailed t-test: *P < .05 vs. 0.9% NaCl, #P < .05 vs. anti-CD11b](/cms/asset/8460b5f9-62d5-4f51-8cd1-92e7e3a568bb/koni_a_1836768_f0005_b.gif)
Figure 6. Comparison of gene expression in high- and low volume tumors. To show impact of a tumor volume on mRNA gene expression, samples from tumors showing high- (>600 mm3, black columns) and low volumes (<500 mm3, white columns) were analyzed with RT-PCR analysis. Expression levels of mRNA were determined relative to the internal control GAPDH. Data are shown as mean of relative mRNA expression from at least three independent experiments
![Figure 6. Comparison of gene expression in high- and low volume tumors. To show impact of a tumor volume on mRNA gene expression, samples from tumors showing high- (>600 mm3, black columns) and low volumes (<500 mm3, white columns) were analyzed with RT-PCR analysis. Expression levels of mRNA were determined relative to the internal control GAPDH. Data are shown as mean of relative mRNA expression from at least three independent experiments](/cms/asset/be2e13be-d454-4f4a-b870-6954906ae9a5/koni_a_1836768_f0006_b.gif)
Table 1. PCR conditions and primer sequences of CD11b+ myeloid cell-associated and modulating genes. To investigate mRNA expression of CD11b+ myeloid cell-associated and modulating genes in tumor tissue and the neuroblastoma cells NXS2-HGW, RT-PCR analysis was used