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Global transcriptomic analysis identifies SERPINE1 as a prognostic biomarker associated with epithelial-to-mesenchymal transition in gastric cancer

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单位: [1]Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China [2]Key Laboratory of Cancer Invasion and Metastasis Research, National Clinical Research Center for Digestive Diseases, Beijing, China
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关键词: SERPINE1 Gastric cancer Epithelial-to-mesenchymal transition Bioinformatic analysis

摘要:
Background: The plasminogen activation system plays a pivotal role in regulating tumorigenesis. In this work, we aim to identify key regulators of plasminogen activation associated with tumorigenesis and explore potential mechanisms in gastric cancer (GC). Methods: Gene profiling datasets were extracted from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened for and obtained by the GEO2R tool. The Database for Annotation, Visualization and Integrated Discovery was used for GO and KEGG enrichment analysis. Gene set enrichment analysis (GSEA) was performed to verify molecular signatures and pathways among The Cancer Genome Atlas or GEO datasets. Correlations between SERPINEI and markers of epithelial-to-mesenchymal transition (EMT) were analyzed using the GEPIA database and quantitative real-time PCR (qRT-PCR). Interactive networks of selected genes were built by STRING and Cytoscape software. Finally, selected genes were verified with the Kaplan-Meier (KM) plotter database. Results: A total of 104 overlapped upregulated and 61 downregulated DEGs were obtained. Multiple GO and KEGG terms associated with the extracellular matrix were enriched among the DEGs. SERPINEI was identified as the only regulator of angiogenesis and the plasminogen activator system among the DEGs. A high level of SERPINE1 was associated with a poor prognosis in GC. GSEA analysis showed a strong correlation between SERPINE1 and EMT, which was also confirmed with the GEPIA database and qRT-PCR validation. FN1, TIMP1, MMP2, and SPARC were correlated with SERPINE1.The KM plotter database showed that an overexpression of these genes correlated with a shorter survival time in GC patients. Conclusions: In conclusion, SERPINE1 is a potent biomarker associated with EMT and a poor prognosis in GC. Furthermore, FN1, TIMP1, MMP2, and SPARC are correlated with SERPINE1 and may serve as therapeutic targets in reversing EMT in GC.

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出版当年[2018]版:
大类 | 3 区 生物
小类 | 3 区 综合性期刊
最新[2025]版:
大类 | 3 区 生物学
小类 | 3 区 综合性期刊
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出版当年[2017]版:
Q2 MULTIDISCIPLINARY SCIENCES
最新[2023]版:
Q2 MULTIDISCIPLINARY SCIENCES

影响因子: 最新[2023版] 最新五年平均[2021-2025] 出版当年[2017版] 出版当年五年平均[2013-2017] 出版前一年[2016版] 出版后一年[2018版]

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第一作者单位: [1]Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China [2]Key Laboratory of Cancer Invasion and Metastasis Research, National Clinical Research Center for Digestive Diseases, Beijing, China
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通讯机构: [1]Department of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China [2]Key Laboratory of Cancer Invasion and Metastasis Research, National Clinical Research Center for Digestive Diseases, Beijing, China
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