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鉴定和验证食管鳞状细胞癌中失调的枢纽 microRNAs。

Identification and validation of hub microRNAs dysregulated in esophageal squamous cell carcinoma.

机构信息

Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.

Comprehensive Laboratory, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China.

出版信息

Aging (Albany NY). 2020 May 15;12(10):9807-9824. doi: 10.18632/aging.103245.

Abstract

Esophageal squamous cell carcinoma (ESCC) is one of the deadliest cancers worldwide, and its morbidity is exacerbated by the lack of early symptoms. Bioinformatics analyses enable discovery of differentially expressed genes and non-protein-coding RNAs of potential prognostic and/or therapeutic relevance in ESCC and other cancers. Using bioinformatics tools, we searched for dysregulated miRNAs in two ESCC microarray datasets from the Gene Expression Omnibus (GEO) database. After identification of three upregulated and five downregulated miRNAs shared between databases, protein-protein interaction (PPI) network analysis was used to identify the top 10 hub-gene targets. Thereafter, a miRNA-gene interaction network predicted that most hub genes are regulated by miR-196a-5p and miR-1-3p, which are respectively upregulated and downregulated in ESCC. Functional enrichment analyses in the GO and KEGG databases indicated the potential involvement of these miRNAs in tumorigenesis-related processes and pathways, while both differential expression and correlation with T stage were demonstrated for each miRNA in a cohort of ESCC patients. Overexpression showed that miR-196a-5p increased, whereas miR-1-3p attenuated, proliferation and invasion in human ESCC cell lines grown in vitro. These findings suggest miR-196a-5p and miR-1-3p jointly contribute to ESCC tumorigenesis and are potential targets for diagnosis and treatment.

摘要

食管鳞状细胞癌 (ESCC) 是全球最致命的癌症之一,由于缺乏早期症状,其发病率加剧。生物信息学分析能够发现 ESCC 和其他癌症中具有潜在预后和/或治疗相关性的差异表达基因和非蛋白编码 RNA。使用生物信息学工具,我们从基因表达综合数据库 (GEO) 数据库中搜索了两个 ESCC 微阵列数据集的失调 miRNA。在确定了数据库之间共有的三个上调和五个下调 miRNA 后,使用蛋白质-蛋白质相互作用 (PPI) 网络分析来识别前 10 个枢纽基因靶标。此后,miRNA 基因相互作用网络预测大多数枢纽基因受 miR-196a-5p 和 miR-1-3p 的调控,miR-196a-5p 在 ESCC 中上调,而 miR-1-3p 下调。GO 和 KEGG 数据库中的功能富集分析表明,这些 miRNA 可能参与肿瘤发生相关过程和途径,而在 ESCC 患者队列中,每个 miRNA 的差异表达和与 T 期的相关性均得到了证明。过表达表明 miR-196a-5p 增加,而 miR-1-3p 减弱,体外培养的人 ESCC 细胞系的增殖和侵袭。这些发现表明 miR-196a-5p 和 miR-1-3p 共同促进 ESCC 肿瘤发生,是诊断和治疗的潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e2f/7288914/db996e879fba/aging-12-103245-g001.jpg

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