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Screening of molecular targets and construction of a ceRNA network for oxaliplatin resistance in colorectal cancer

机译：结直肠癌氧化素抗性的分子靶点和CENNA网络的构建

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Oxaliplatin resistance reduces the efficacy of chemotherapy for colorectal cancer (CRC). This study aimed to screen molecular targets of oxaliplatin resistance in CRC to construct a ceRNA network. The differentially expressed mRNA and lncRNA between the oxaliplatin-resistant and oxaliplatin-sensitive colon cancer cell lines was determined using RNA sequencing data (no. GSE42387) from the NCBI GEO database. Gene Ontology BP (biological process) and KEGG pathway enrichment analyses were used to analyze the function and pathway enrichment of the differentially expressed mRNA and lncRNA. The lnCeDB and starBase v2.0 were used to predict miRNA, and Cytoscape software was used to build a ceRNA network. The top 5 mRNA, miRNAs, and lncRNAs with high degrees of connectivity in the ceRNA network were validated by qPCR. TCGA colon cancer clinical data was used to perform a survival analysis of patients with differential mRNA and lncRNA expression. Between the two groups, 2515 mRNAs and 23 lncRNAs were differentially expressed. We constructed a ceRNA network containing 503 lncRNA-miRNA-mRNA regulatory pairs, 210 lncRNA-miRNA pairs, 382 miRNA-mRNA pairs, and 212 mRNA co-expression pairs. The differentially expressed lncRNA, miRNA and mRNA were verified by qPCR. One lncRNA (HOTAIR) and 14 mRNAs significantly correlated with patient prognosis. The discovery of differentially expressed genes and the construction of ceRNA networks will provide important resources for the search for therapeutic targets of oxaliplatin resistance. Moreover, this resource will aid the discovery of the mechanisms behind this type of drug resistance.
机译：Oxaliplatin抗性降低了化疗对结肠直肠癌（CRC）的功效。该研究旨在筛选CRC中氧化素抗性的分子靶标构建Cerna网络。使用RNA测序数据（NO.GSE42387）从NCBI Geo数据库中测定氧化甘油蛋蛋白抗性和氧化醇苷敏性结肠癌细胞系之间的差异表达的mRNA和LNCRNA。基因本体BP（生物过程）和Kegg途径富集分析用于分析差异表达mRNA和LNCRNA的富集富集的功能和途径。 LNCEDB和Starbase V2.0用于预测MiRNA，并且使用Cytoscape软件来构建Cerna网络。 QPCR验证了Cerna网络中具有高连接程度的前5个mRNA，miRNA和LNCRNA。 TCGA结肠癌临床数据用于对差分mRNA和LNCRNA表达患者进行生存分析。在两组之间，2515 mRNA和23LNCRNA差异表达。我们构建了一种Cerna网络，其包含503克朗 - miRNA-mRNA调节对，210次LNCRNA-miRNA对，382 miRNA-mRNA对和212 mRNA共表达对。通过QPCR验证差异表达的LNCRNA，miRNA和mRNA。一个LNCRNA（HotaIr）和14 mRNA与患者预后显着相关。差异表达基因的发现和Cerna网络的构建将为寻找氧化素抗性的治疗目标提供重要资源。此外，该资源将有助于发现这种类型的耐药背后的机制。

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    《RSC Advances》 |2019年第54期|共12页
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  • 正文语种 eng
  • 中图分类 化学;
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