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浸润性乳腺癌淋巴结转移中差异表达基因及其调控的微小RNA分析

Analysis of Differentially Expressed Genes and Their Regulating microRNA Involved in Lymph Node Metastasis in Invasive Breast Carcinoma.

作者信息

Modi Anupama, Purohit Purvi, Gadwal Ashita, Ukey Shweta, Roy Dipayan, Fernandes Sujoy, Banerjee Mithu

机构信息

Department of Biochemistry, All India Institute of Medical Sciences (AIIMS), Jodhpur, India.

Department of Radiation Oncology, All India Institute of Medical Sciences (AIIMS), Jodhpur, India.

出版信息

Cancer Invest. 2022 Jan;40(1):55-72. doi: 10.1080/07357907.2021.1969574. Epub 2021 Sep 2.

DOI:10.1080/07357907.2021.1969574
PMID:34396887
Abstract

Axillary nodal metastasis is related to poor prognosis in breast cancer (BC). Key candidate genes in BC lymph node metastasis have been identified from Gene Expression Omnibus datasets and explored through functional enrichment database for annotation, visualization and integrated discovery (DAVID) , protein-protein interaction by Search Tool for the Retrieval of Interacting Genes and proteins (STRING), network visualization (Cytoscape), survival analysis (GEPIA, KM Plotter), and target prediction (miRNet). A total of 102 overlapping differentially expressed genes were found. survival and expression analyses revealed six candidate hub genes, Desmocollin 3 (DSC3), KRT5, KRT6B, KRT17, KRT81, and SERPINB5, to be significantly associated with nodal metastasis and overall survival, and 83 MicroRNA (miRNAs), which may be potential diagnostic markers and therapeutic targets in BC patients.

摘要

腋窝淋巴结转移与乳腺癌(BC)的预后不良相关。已从基因表达综合数据库中鉴定出BC淋巴结转移中的关键候选基因,并通过功能富集数据库进行注释、可视化和综合发现(DAVID)、利用检索相互作用基因和蛋白质的搜索工具(STRING)进行蛋白质-蛋白质相互作用分析、网络可视化(Cytoscape)、生存分析(GEPIA、KM Plotter)以及靶标预测(miRNet)对其进行了探索。共发现102个重叠的差异表达基因。生存和表达分析揭示了六个候选枢纽基因,桥粒芯蛋白3(DSC3)、角蛋白5(KRT5)、角蛋白6B(KRT6B)、角蛋白17(KRT17)、角蛋白81(KRT81)和丝氨酸蛋白酶抑制剂B5(SERPINB5),它们与淋巴结转移和总生存显著相关,还有83种微小RNA(miRNA),它们可能是BC患者潜在的诊断标志物和治疗靶点。

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