β-榄香烯通过调节外泌体 METTL3-m6A-ARF6 轴改善胃癌的顺铂耐药性

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Cell Biochemistry and Biophysics Pub Date : 2025-06-01 Epub Date: 2024-11-27 DOI:10.1007/s12013-024-01615-z
Huicong Song, Xuefeng Sun, Xiaohua Wang, Tianhai Xie, Zhihui Zheng, Ying Ji, Yanyan Cui
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引用次数: 0

摘要

晚期胃癌(GC)患者的中位总生存率很低,耐药性在其中起着重要作用。β-榄香烯对胃癌细胞增殖的抑制作用已被证实,但其在顺铂(DDP)耐药胃癌中的具体机制仍不清楚。利用细胞计数试剂盒-8(CCK8)测定了顺铂(DDP)耐药 GC 细胞株中 DDP 的半数最大抑制浓度(IC50)值。细胞凋亡率和侵袭能力通过流式细胞术和透孔试验进行检测。利用 Western 印迹和反转录定量聚合酶链反应(RT-qPCR)检测类似甲基转移酶-3(METTL3)和 ADP 核糖基化因子 6(ARF6)的蛋白和 mRNA 水平。应用 SRAMP 网站和甲基化 RNA 免疫沉淀(MeRIP)检测法分别预测了 ARF6 的 m6A 位点和验证了其 m6A 水平。RNA 免疫沉淀(RIP)被用来探索这两种分子之间的相互作用。为了证明β-榄香烯在体内的作用,构建了异种移植肿瘤模型。β-榄香烯在体外改善了DDP耐药GC细胞的药物敏感性并抑制了其恶性细胞活性。ARF6在DDP耐药的GC细胞和组织中上调,其过表达可减弱β-榄香烯处理对DDP耐药GC细胞的影响。细胞内和外泌体 METLL3 在 DDP 抗性 GC 细胞系中和来自 DDP 抗性 GC 细胞系的表达均升高。DDP耐药GC细胞释放的外泌体METTL3可抵消β-榄香烯对DDP耐药GC细胞的影响,其部分作用是以m6A依赖性方式调节ARF6的表达。β-榄香烯能抑制 DDP 抗性肿瘤在体内的生长。总之,β-榄香烯可通过外泌体METTL3-m6A-ARF6轴抑制肿瘤生长和耐药性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
β-elemene Ameliorates Cisplatin Resistance of Gastric Cancer via Regulating Exosomal METTL3-m6A-ARF6 Axis.

The medial overall survival is low in patients with gastric cancer (GC) at advanced stage, in which drug resistance plays an important role. β-elemene has been established as the suppressed role on GC cell proliferation, however, the concrete mechanism of it remains unclear in cisplatin (DDP)-resistance GC. Cell counting kit-8 (CCK8) assay was used to measure the half maximal inhibitory concentration (IC50) values of DDP in DDP-resistance GC cell lines. Cell apoptotic rates and invasive ability were tested by flow cytometry and transwell assay. Western blot and reverse-transcription quantitative polymerase chain reaction (RT-qPCR) were utilized to detect the protein and mRNA levels of methyltransferase like-3 (METTL3) and ADP ribosylation factor 6 (ARF6). SRAMP websites and methylated RNA immunoprecipitation (MeRIP) assay were applied to predicted m6A sites and verified m6A levels of ARF6 respectively. RNA immunoprecipitation (RIP) was used to explore the interaction between these two molecules. Xenograft tumor models were constructed to demonstrate the effects of β-elemene in vivo. β-elemene improved drug sensitivity and curbed malignant cell activities of DDP-resistance GC cells in vitro. ARF6 was upregulated in DDP-resistance GC cells and tissues, and its overexpression could abrogate the effects on DDP-resistant GC cells mediated by β-elemene treatment. Intracellular and exosomal METLL3 expression were elevated in and from DDP-resistance GC cell lines. Exosomal METTL3 released from DDP-resistance GC cells could counteract the effects of β-elemene on DDP-resistance GC cells partly via regulating ARF6 expression in the m6A-dependent manner. β-elemene could suppress DDP-resistance tumor growth in vivo. In conclusion, β-elemene could repress tumor growth and drug resistance via exosomal METTL3-m6A-ARF6 axis.

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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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