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靶向 FOS 可抑制乳腺癌的恶性表型:来自计算机模拟和体外研究的证据。

Targeting FOS attenuates malignant phenotypes of breast cancer: Evidence from in silico and in vitro studies.

机构信息

Second Department of General Surgery, Heilongjiang Provincial Hospital, Harbin, People's Republic of China.

Department of Anesthesiology, Heilongjiang Provincial Hospital, Harbin, People's Republic of China.

出版信息

J Biochem Mol Toxicol. 2023 Jul;37(7):e23358. doi: 10.1002/jbt.23358. Epub 2023 Apr 4.

Abstract

Data retrieved from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases can reveal important information behind molecular biomarkers and their associated oncogenesis. Therefore, this study was based on in silico predictions and in vitro experiments to explore regulatory network associated with breast carcinogenesis. The breast cancer (BC)-related data sets were retrieved from GEO database, followed by differential analysis and protein-protein interaction (PPI) analysis. Then, Fos proto-oncogene, AP-1 transcription factor subunit (FOS)-associated gene network was constructed, and the key gene-related genes in BC were screened by LinkedOmics. Finally, FOS expression was determined in BC tissues and cells, and gain-of-function assays were performed to define the role of FOS in BC cells. It was noted that seven differentially expressed genes (EGR1, RASSF9, FOSB, CDC20, KLF4, PTGS2, and FOS) were obtained from BC microarray data sets. FOS was the gene with the most nodes in PPI analysis. Poor FOS mRNA expression was identified in BC patients. Furthermore, FOS was mainly located in the extracellular matrix and was involved in cell processes. FOS was downregulated in BC tissues and cells, and FOS overexpression restrained the malignant phenotypes of BC cells. Collectively, ectopic expression of FOS curtails the development of BC.

摘要

从癌症基因组图谱 (TCGA) 和基因表达综合数据库 (GEO) 中检索的数据可以揭示分子生物标志物及其相关致癌作用背后的重要信息。因此,本研究基于计算机预测和体外实验,探讨与乳腺癌发生相关的调控网络。从 GEO 数据库中检索乳腺癌 (BC) 相关数据集,进行差异分析和蛋白质-蛋白质相互作用 (PPI) 分析。然后,构建 Fos 原癌基因、AP-1 转录因子亚基 (FOS) 相关基因网络,通过 LinkedOmics 筛选 BC 中的关键基因相关基因。最后,检测 BC 组织和细胞中的 FOS 表达,并进行功能获得实验以确定 FOS 在 BC 细胞中的作用。值得注意的是,从 BC 微阵列数据集获得了 7 个差异表达基因 (EGR1、RASSF9、FOSB、CDC20、KLF4、PTGS2 和 FOS)。在 PPI 分析中,FOS 是节点最多的基因。BC 患者的 FOS mRNA 表达水平较低。此外,FOS 主要位于细胞外基质中,参与细胞过程。FOS 在 BC 组织和细胞中下调,FOS 过表达抑制了 BC 细胞的恶性表型。总之,FOS 的异位表达可抑制 BC 的发展。

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