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Identification of biomarkers of intrahepatic cholangiocarcinoma via integrated analysis of mRNA and miRNA microarray data

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机构: [1]Hebei Univ, Dept VIP Ward, Affiliated Hosp, Baoding 071000, Hebei, Peoples R China [2]Zhuhai Peoples Hosp, Dept Ultrason Imaging, 79 Kang Ning Rd, Zhuhai 519000, Guangdong, Peoples R China [3]Tianjin Med Univ, Canc Inst & Hosp, Dept Lymphoma,SinoUS Ctr Lymphoma & Leukemia, Natl Clin Res Ctr Canc,Key Lab Canc Prevent & The, Tianjin 300060, Peoples R China [4]Baoding Xiongxian Cty Hosp, Dept Internal Med, Baoding 071000, Hebei, Peoples R China [5]Hebei Univ, Affiliated Hosp, Dept Gastroenterol, Baoding 071000, Hebei, Peoples R China [6]Hebei Univ, Affiliated Hosp, Dept Hepatobiliary Surg, Baoding 071000, Hebei, Peoples R China
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关键词: intrahepatic cholangiocarcinoma microarray Gene Expression Omnibus database Database for Annotation Visualization and Integrated Analysis

摘要:
The present study aimed to identify potential therapeutic targets of intrahepatic cholangiocarcinoma (ICC) via integrated analysis of gene (transcript version) and microRNA (miRNA/miR) expression. The miRNA microarray dataset GSE32957 contained miRNA expression data from 16 ICC, 7 mixed type of combined hepatocellular-cholangiocarcinoma (CHC), 2 hepatic adenoma, 3 focal nodular hyperplasia (FNH) and 5 healthy liver tissue samples, and 2 cholangiocarcinoma cell lines. In addition, the mRNA microarray dataset GSE32879 contained mRNA expression data from 16 ICC, 7 CHC, 2 hepatic adenoma, 5 FNH and 7 healthy liver tissue samples. The datasets were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and miRNAs (DEMs) in ICC samples compared with healthy liver tissues were identified via the limma package, following data preprocessing. Genes that exhibited alternative splicing (AS) in ICC samples were identified via AltAnalyze software. Functional enrichment analysis of DEGs was performed using the Database for Annotation, Visualization and Integrated Analysis. Target genes of DEMs were identified using the TargetScan database. The regulatory association between DEMs and any overlaps among DEGs, alternative splicing genes (ASGs) and target genes of DEMs were retrieved, and a network was visualized using the Cytoscape software. A total of 2,327 DEGs, 70 DEMs and 623 ASGs were obtained. Functional enrichment analysis indicated that DEGs were primarily enriched in biological processes and pathways associated with cell activity or the immune system. A total of 63 overlaps were obtained among DEGs, ASGs and target genes of DEMs, and a regulation network that contained 243 miRNA-gene regulation pairs was constructed between these overlaps and DEMs. The overlapped genes, including sprouty-related EVH1 domain containing 1, protein phosphate 1 regulatory subunit 12A, chromosome 20 open reading frame 194, and DEMs, including hsa-miR-96, hsa-miR-1 and hsa-miR-25, may be potential therapeutic targets for the future treatment of ICC.

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出版当年[2018]版:
大类 | 4 区 医学
小类 | 4 区 医学:研究与实验 4 区 肿瘤学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 医学:研究与实验 4 区 肿瘤学
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出版当年[2017]版:
Q3 MEDICINE, RESEARCH & EXPERIMENTAL Q4 ONCOLOGY
最新[2023]版:
Q2 MEDICINE, RESEARCH & EXPERIMENTAL Q2 ONCOLOGY

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

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第一作者机构: [1]Hebei Univ, Dept VIP Ward, Affiliated Hosp, Baoding 071000, Hebei, Peoples R China
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