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首页> 外文期刊>BMC Medical Genomics >MicroRNA related prognosis biomarkers from high throughput sequencing data of kidney renal clear cell carcinoma
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MicroRNA related prognosis biomarkers from high throughput sequencing data of kidney renal clear cell carcinoma

机译：MicroRNA相关预后生物标志物来自肾肾透明细胞癌的高通量测序数据

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Kidney renal clear cell carcinoma (KIRC) is the most common type of kidney cell carcinoma which has the worst overall survival rate. Almost 30% of patients with localized cancers eventually develop to metastases despite of early surgical treatment carried out. MicroRNAs (miRNAs) play a critical role in human cancer initiation, progression, and prognosis. The aim of our study was to identify potential prognosis biomarkers to predict overall survival of KIRC. All data were downloaded from an open access database The Cancer Genome Atlas. DESeq2 package in R was used to screening the differential expression miRNAs (DEMs) and genes (DEGs). RegParallel and Survival packages in R was used to analysis their relationships with the KIRC patients. David version 6.8 and STRING version 11 were used to take the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. We found 2 DEGs (TIMP3 and HMGCS1) and 3 DEMs (hsa-miR-21-5p, hsa-miR-223-3p, and hsa-miR-365a-3p) could be prognosis biomarkers for the prediction of KIRC patients. The constructed prognostic model based on those 2 DEGs could effectively predict the survival status of KIRC. And the constructed prognostic model based on those 3 DEMs could effectively predict the survival status of KIRC in 3-year and 5-year. The current study provided novel insights into the miRNA related mRNA network in KIRC and those 2 DEGs biomarkers and 3 DEMs biomarkers may be independent prognostic signatures in predicting the survival of KIRC patients.
机译：肾肾透明细胞癌（KIRC）是最常见的肾细胞癌类型，其总体存活率最差。尽管进行了早期手术治疗，但近30％的局部癌症患者最终发展到转移。 microRNA（miRNA）在人体癌症开始，进展和预后起到关键作用。我们的研究目的是识别潜在的预后生物标志物，以预测kirc的整体存活。所有数据从开放访问数据库下载癌症基因组图集。 R中的DESEQ2包装用于筛选差异表达miRNA（DEMS）和基因（DEGS）。 R中的重新平行和生存包用于分析与KIRC患者的关系。 David Version 6.8和String版本11用于参加基因本体和京都基因的京科和基因组途径富集分析。我们发现2次（TIMP3和HMGCS1）和3个DEM（HSA-MIR-21-5P，HSA-MIR-223-3P和HSA-MIR-365A-3P）可能是预测kirc患者的预后生物标志物。基于那些2次Degs的构建预后模型可以有效地预测kirc的存活状态。基于这3次DEM的构建的预后模型可以有效地预测3年和5年的脊髓杆菌的存活状况。目前的研究为脊髓克尔的MiRNA相关mRNA网络提供了新的洞察力，并且这些2次生物标志物和3个DEMS生物标志物可能是预测KIRC患者存活的独立预后签名。

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