PPARδ Antagonist Inhibited CD47 Expression and Phagocytosis

IF 3 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Yilei Guo, Bibimaryam Khan, Juanjuan Shi, Yongzhong Hou
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引用次数: 0

Abstract

Increasing evidence suggests that CD47 is highly expressed in multiple types of cancer, which could bind to SIRPα on macrophage, leading to inhibition of macrophage phagocytosis and promotion of tumor growth. However, the regulatory mechanism of CD47 gene expression is not completely clear. Our results indicated that colon cancer cells treated with GSK0660 drug, which is one of the PPARδ antagonists, significantly reduced CD47 gene and protein expression levels in a time and dose-dependent manner. CD47 reporter plasmid was constructed and dual-luciferase analysis was performed. The results suggest that GSK0660 treatment markedly reduced CD47 gene transcriptional activity. Moreover, co-cultured analysis showed that GSK0660 treatment increased phagocytosis. BALB/C mice implanted with CT-26 colon cancer cells were treated with GSK0660, and the results showed that GSK0660 significantly inhibited tumor growth. Moreover, the combination of CD47 monoclonal antibody with GSK0660 drug significantly inhibited tumor growth compared to GSK0660 or CD47 antibody treatment alone. These findings suggest that GSK0660 synergized with CD47 antibody to enhance antitumor immunotherapy.

PPARδ拮抗剂抑制CD47表达和吞噬作用。
越来越多的证据表明,CD47在多种类型的癌症中高表达,其可与巨噬细胞上的SIRPα结合,抑制巨噬细胞吞噬,促进肿瘤生长。然而,CD47基因表达的调控机制尚不完全清楚。我们的研究结果表明,PPARδ拮抗剂之一GSK0660药物治疗结肠癌细胞后,CD47基因和蛋白表达水平显著降低,且呈时间和剂量依赖性。构建CD47报告质粒,进行双荧光素酶分析。结果表明,GSK0660处理显著降低了CD47基因的转录活性。此外,共培养分析显示,GSK0660处理增加了吞噬能力。用GSK0660治疗植入CT-26结肠癌细胞的BALB/C小鼠,结果显示GSK0660显著抑制肿瘤生长。此外,与GSK0660或CD47抗体单独治疗相比,CD47单克隆抗体与GSK0660药物联合治疗可显著抑制肿瘤生长。这些发现提示GSK0660与CD47抗体协同作用增强抗肿瘤免疫治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of cellular biochemistry
Journal of cellular biochemistry 生物-生化与分子生物学
CiteScore
9.90
自引率
0.00%
发文量
164
审稿时长
1 months
期刊介绍: The Journal of Cellular Biochemistry publishes descriptions of original research in which complex cellular, pathogenic, clinical, or animal model systems are studied by biochemical, molecular, genetic, epigenetic or quantitative ultrastructural approaches. Submission of papers reporting genomic, proteomic, bioinformatics and systems biology approaches to identify and characterize parameters of biological control in a cellular context are encouraged. The areas covered include, but are not restricted to, conditions, agents, regulatory networks, or differentiation states that influence structure, cell cycle & growth control, structure-function relationships.
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