Morphine Contributes to Epithelial-Mesenchymal Transition in Triple-Negative Breast Cancer Cells by Blocking COX-2 Methylation via Regulating the miR-23a-3p/DNMT3A Feedback.

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Jian Cui, Nina Ma, Xiaohui Li, Xuexin Chen, Junxia Zhang, Wenjuan Zhang, Hong Li
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引用次数: 0

Abstract

To investigate the effects and mechanisms of morphine on epithelial-mesenchymal transformation (EMT) in triple-negative breast cancer (TNBC). The levels of miR-23a-3p, DNMT3A, and COX-2 in tumor tissues from metastatic TNBC patients treated with morphine were assessed using qRT-PCR. Functional assays assessed morphine's impact on TNBC cell malignancy. Dual luciferase reporter and RNA pull-down assays investigated the interaction between miR-23a-3p and DNMT3A. miR-23a-3p inhibitor and DNMT3A siRNA were transfected into TNBC cells. Protein expression was analyzed by Western blot. Methylation status of miR-23a-3p and COX-2 was assessed via methylation-specific PCR. Rescue experiments were performed to research whether morphine modulates EMT in TNBC through COX-2 methylation regulation via the miR-23a-3p/DNMT3A feedback loop. The effects of morphine on TNBC in nude mice xenotransplantation were studied. In metastatic TNBC patients treated with morphine, miR-23a-3p and COX-2 expression were elevated, and DNMT3A levels were reduced. In TNBC cells, morphine enhanced migration, invasion, and EMT, and suppressed apoptosis. It upregulated miR-23a-3p and COX-2; downregulated DNMT3A; and inhibited methylation of miR-23a-3p and COX-2. miR-23a-3p directly inhibited DNMT3A expression. In morphine-treated TNBC cells, silencing DNMT3A reduced methylation of miR-23a-3p and COX-2. miR-23a-3p inhibitor suppressed migration, invasion, and EMT, and promoted apoptosis; however, these effects were reversed by DNMT3A silencing. In vivo, morphine promoted tumor EMT and metastasis in TNBC; reduced miR-23a-3p and COX-2 methylation; and decreased DNMT3A expression. Morphine accelerated EMT in TNBC by inhibiting COX-2 methylation through the miR-23a-3p/DNMT3A loop.

吗啡通过调节miR-23a-3p/DNMT3A反馈阻断COX-2甲基化,促进三阴性乳腺癌细胞上皮-间质转化
探讨吗啡对三阴性乳腺癌(TNBC)上皮-间质转化(EMT)的影响及其机制。采用qRT-PCR方法检测吗啡治疗转移性TNBC患者肿瘤组织中miR-23a-3p、DNMT3A和COX-2的水平。功能分析评估吗啡对TNBC细胞恶性肿瘤的影响。双荧光素酶报告基因和RNA下拉实验研究了miR-23a-3p和DNMT3A之间的相互作用。将miR-23a-3p抑制剂和DNMT3A siRNA转染TNBC细胞。Western blot检测蛋白表达。通过甲基化特异性PCR评估miR-23a-3p和COX-2的甲基化状态。我们通过抢救实验研究吗啡是否通过miR-23a-3p/DNMT3A反馈回路通过COX-2甲基化调节TNBC的EMT。研究吗啡对裸鼠异种移植TNBC的影响。在吗啡治疗的转移性TNBC患者中,miR-23a-3p和COX-2表达升高,DNMT3A水平降低。在TNBC细胞中,吗啡增强迁移、侵袭和EMT,并抑制凋亡。上调miR-23a-3p和COX-2;表达下调DNMT3A;抑制miR-23a-3p和COX-2的甲基化。miR-23a-3p直接抑制DNMT3A的表达。在吗啡处理的TNBC细胞中,沉默DNMT3A可降低miR-23a-3p和COX-2的甲基化。miR-23a-3p抑制剂抑制迁移、侵袭和EMT,促进细胞凋亡;然而,这些影响被DNMT3A沉默逆转。在体内,吗啡促进TNBC的肿瘤EMT和转移;miR-23a-3p和COX-2甲基化降低;DNMT3A表达降低。吗啡通过miR-23a-3p/DNMT3A环抑制COX-2甲基化,加速TNBC的EMT。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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