| Literature DB >> 29228548 |
Yasmin A Lyons1, Sunila Pradeep1, Sherry Y Wu1, Monika Haemmerle1, Jean M Hansen1, Michael J Wagner1, Alejandro Villar-Prados1, Archana S Nagaraja1, Robert L Dood1, Rebecca A Previs1, Wei Hu1, Yang Zhao2, Duncan H Mak3, Zhilan Xiao4, Brenda D Melendez4, Gregory A Lizee4, Imelda Mercado-Uribe5, Keith A Baggerly2, Patrick Hwu4, Jinsong Liu5, Willem W Overwijk4, Robert L Coleman1, Anil K Sood1,6,7.
Abstract
Anti-angiogenesis therapy has shown clinical benefit in patients with high-grade serous ovarian cancer (HGSC), but adaptive resistance rapidly emerges. Thus, approaches to overcome such resistance are needed. We developed the setting of adaptive resistance to anti-VEGF therapy, and performed a series of in vivo experiments in both immune competent and nude mouse models. Given the pro-angiogenic properties of tumor-associated macrophages (TAMs) and the dominant role of CSF1R in macrophage function, we added CSF1R inhibitors following emergence of adaptive resistance to anti-VEGF antibody. Mice treated with a CSF1R inhibitor (AC708) after anti-VEGF antibody resistance had little to no measurable tumor burden upon completion of the experiment while those that did not receive a CSF1R inhibitor still had abundant tumor. To mimic clinically used regimens, mice were also treated with anti-VEGF antibody and paclitaxel until resistance emerged, and then a CSF1R inhibitor was added. The addition of a CSF1R inhibitor restored response to anti-angiogenesis therapy, resulting in 83% lower tumor burden compared to treatment with anti-VEGF antibody and paclitaxel alone. Collectively, our data demonstrate that the addition of a CSF1R inhibitor to anti-VEGF therapy and taxane chemotherapy results in robust anti-tumor effects.Entities:
Keywords: CSF1R inhibition; adaptive resistance; anti-VEGF therapy; tumor associated macrophages; tumor microenvironment
Year: 2017 PMID: 29228548 PMCID: PMC5722500 DOI: 10.18632/oncotarget.20410
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1AC708 combined with B20 decreases tumor burden in syngeneic and PDX mouse models
C57Bl/6 mice received IG10 murine ovarian cancer cells by intraperitoneal injection and were randomly assigned to treatment with AC708, B20, or the combination. Bar graphs show the tumor weight, tumor nodules, and volume of ascites A.-C. NOD-SCID mice were injected intraperitoneally with ascites from a patient with HGSC and randomly assigned to treatment with AC708, bevacizumab, or the combination. Tumor weight and number of nodules are shown D.-E. IG10 tumor samples from all groups were stained for F4/80 and total macrophage count was compared between groups F.. The bar graph represents mean number of macrophages from 5 randomly selected high power fields at 20x high power. * denotes p≤0.05, ** denotes p≤0.01, *** denotes p≤0.001, and **** denotes p≤0.0001.
Figure 2AC708 reduces tumor burden in setting of adaptive resistance to anti-VEGF therapy
Bioluminescent signal differences between B20 resistant mice with and without the addition of AC708 are shown. Automatic exposure time was used A.. Tumor weight, tumor nodules, and volume of ascites B.-D. are shown in IG10 murine ovarian cancer model of adaptive resistance treated with AC708, B20, or the combination, after resistance was determined by bioluminescent imaging. E. demonstrates bioluminescence imaging differences in those mice sensitive versus resistant to treatment with bevacizumab and paclitaxel in OVCAR432 HGSC model. Automatic exposure was time was used. Tumor weight of the OVCAR432 model shown in groups resistant to bevacizumab, plus paclitaxel, with and without AC708 F.. G. Quantification of macrophages from IG10 model treated with AC708, B20, or the combination in the setting of adaptive resistance. Macrophage content was determined by the percentage of CD11b+/F4/80+ cells out of CD45+ cells, using flow cytometry. The same groups were also stained for F4/80 via immunohistochemistry to quantify macrophages H.. **** denotes p≤0.0001.
Figure 3Macrophage depletion in the setting of adaptive resistance is confirmed with CYTOF
Immune profiling via CyTOF was performed on IG10 tumor tissue harvested and processed from mice treated with AC708, B20, or the combination in the setting of adaptive resistance to B20. A. demonstrates the fraction of macrophages among groups determined by Cd11b+/F4/80+ cells out of CD45+ cells using CyTOF. Expression of the myeloid markers in the macrophage populations of each group are shown in the heatmap B.. Pathways involving PD-L1, p-AKT, and FAK were upregulated in the B20 resistant treated samples, and conversely decreased in the B20 sensitive and combination groups.
Figure 4Additional CSF1R inhibitors have anti-tumor effects
The adaptive resistance model was set up in the OVCAR5 ovarian cancer model in nude mice. A. represents the bioluminescence signal of mice responding and those resistant to bevacizumab after exposure of 1 minute. Tumor weight, tumor nodules, and volume of ascites for groups treated with bevacizumab and the combination of bevacizumab and 2G2 are shown in bar graphs B.. Macrophage counts of each group are represented with immunohistochemical images using F4/80 as a macrophage marker C.. The bar graphs represent the quantification of macrophages per group. Schematic representation of the model D.. * denotes p≤0.05 and ** denotes p≤0.01.