Antitumor effect of nuclear factor-?B decoy transfer by mannose-modified bubble lipoplex into macrophages in mouse malignant ascites.
Ontology highlight
ABSTRACT: Patients with malignant ascites (MAs) display several symptoms, such as dyspnea, nausea, pain, and abdominal tenderness, resulting in a significant reduction in their quality of life. Tumor-associated macrophages (TAMs) play a crucial role in MA progression. Because TAMs have a tumor-promoting M2 phenotype, conversion of the M2 phenotypic function of TAMs would be promising for MA treatment. Nuclear factor-?B (NF-?B) is a master regulator of macrophage polarization. Here, we developed targeted transfer of a NF-?B decoy into TAMs by ultrasound (US)-responsive, mannose-modified liposome/NF-?B decoy complexes (Man-PEG bubble lipoplexes) in a mouse peritoneal dissemination model of Ehrlich ascites carcinoma. In addition, we investigated the effects of NF-?B decoy transfection into TAMs on MA progression and mouse survival rates. Intraperitoneal injection of Man-PEG bubble lipoplexes and US exposure transferred the NF-?B decoy into TAMs effectively. When the NF-?B decoy was delivered into TAMs by this method in the mouse peritoneal dissemination model, mRNA expression of the Th2 cytokine interleukin (IL)-10 in TAMs was decreased significantly. In contrast, mRNA levels of Th1 cytokines (IL-12, tumor necrosis factor-?, and IL-6) were increased significantly. Moreover, the expression level of vascular endothelial growth factor in ascites was suppressed significantly, and peritoneal angiogenesis showed a reduction. Furthermore, NF-?B decoy transfer into TAMs significantly decreased the ascitic volume and number of Ehrlich ascites carcinoma cells in ascites, and prolonged mouse survival. In conclusion, we transferred a NF-?B decoy efficiently by Man-PEG bubble lipoplexes with US exposure into TAMs, which may be a novel approach for MA treatment.
SUBMITTER: Kono Y
PROVIDER: S-EPMC4317846 | biostudies-literature | 2014 Aug
REPOSITORIES: biostudies-literature
ACCESS DATA