Connexin 43 controls metastatic behavior in triple negative breast cancer through TGFβ1-Smad3-intergin αV signaling axis Based on optical image diagnosis

IF 2.5 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS SLAS Technology Pub Date : 2024-09-17 DOI:10.1016/j.slast.2024.100190
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Abstract

Abnormal expression of connexin 43 (Cx43) contributes to the development and progression of cancer. However, its regulation is complex and dependent on the environment. The expression of Cx43 in triple-negative cancer lesions was analyzed by immunohistochemistry and optical coherence tomography using experimental models and clinical samples. The model of TGFβ1-SMad3-in-αv signal axis was established and verified by experiments. The results show that Cx43 plays a key role in the regulation of triple-negative cancer metastasis. In vivo, over-expressed Cx43 decreased tumor volume and inhibited ITGαV, TGF-β1, Smad3 and N-cadherin expressions, but enhanced the E-cadherin. Cx43 had the lowest expression in the TNBC samples, especially in lymph node metastatic TNBC patients and had a negative correlation with ITG alpha V, TGF-β1 and Smad3.The study demonstrated Cx43 controlled metastatic behavior through TGF-β1 -Smad3-ITG αV signaling axis in MDA-MB-231 cells, providing evidence for Cx43’s function in TNBC. The optical image diagnosis method can realize the identification and quantitative evaluation of early cancer triple negative, and provide a new strategy and means for the treatment of cancer triple negative.

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连接蛋白 43 通过 TGFβ1-Smad3 介导的 αV 信号轴控制三阴性乳腺癌的转移行为 基于光学图像诊断的研究
附件蛋白 43(Cx43)的异常表达会导致癌症的发生和发展。然而,对它的调控是复杂的,并依赖于环境。研究人员利用实验模型和临床样本,通过免疫组化和光学相干断层扫描分析了三阴性癌症病灶中 Cx43 的表达情况。建立了TGFβ1-SMad3-in-αv信号轴模型并进行了实验验证。结果表明,Cx43在调控三阴性癌转移中起着关键作用。在体内,过度表达Cx43可减少肿瘤体积,抑制ITGαV、TGF-β1、Smad3和N-cadherin的表达,但增强E-cadherin的表达。研究表明,Cx43通过TGF-β1-Smad3-ITG αV信号轴控制MDA-MB-231细胞的转移行为,为Cx43在TNBC中的功能提供了证据。该光学图像诊断方法可实现早期三阴性癌的鉴定和定量评估,为三阴性癌的治疗提供新的策略和手段。
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来源期刊
SLAS Technology
SLAS Technology Computer Science-Computer Science Applications
CiteScore
6.30
自引率
7.40%
发文量
47
审稿时长
106 days
期刊介绍: SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.
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