Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets.
Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets.
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DOI：
10.1038/s41598-018-27521-y
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发表时间：
2018-06-15
影响因子：
4.6
通讯作者：
Győrffy B
中科院分区：
文献类型：
--
作者：
Nagy Á;Lánczky A;Menyhárt O;Győrffy B
多项研究建议使用不同的miRNA作为肝细胞癌（HCC）预后的生物标志物。我们的目标是从独立的数据集中收集一个miRNA表达数据库，以独立验证先前发表的HCC预后生物标志物。通过检索TCGA（RNA-seq）和GEO（微阵列）库来建立miRNA表达数据库，以识别具有可用表达和临床数据的miRNA数据集。进行PubMed检索以鉴定HCC的预后miRNA。我们进行了单因素和多因素考克斯回归分析，以验证这些miRNA的预后意义。应用Limma R软件包比较肿瘤和正常组织中miRNAs的表达。我们发现了214篇出版物，其中包含223种被鉴定为HCC潜在预后生物标志物的miRNA。在生存分析中，RNA-seq和基因芯片数据集中分别有55和84种miRNA的表达水平与总生存率显著相关。在RNA-seq中最显著的miRNA是hsa-miR-149、hsa-miR-139和hsa-miR-3677，在微阵列数据集中最显著的miRNA是hsa-miR-146 b-3 p、hsa-miR-584和hsa-miR-31。在研究的223种miRNAs中，与正常肝组织相比，肿瘤中102种miRNAs的表达发生了显著变化。总之，我们建立了一个完整的miRNA表达数据库，并验证了HCC中的预后miRNA。
Multiple studies suggested using different miRNAs as biomarkers for prognosis of hepatocellular carcinoma (HCC). We aimed to assemble a miRNA expression database from independent datasets to enable an independent validation of previously published prognostic biomarkers of HCC. A miRNA expression database was established by searching the TCGA (RNA-seq) and GEO (microarray) repositories to identify miRNA datasets with available expression and clinical data. A PubMed search was performed to identify prognostic miRNAs for HCC. We performed a uni- and multivariate Cox regression analysis to validate the prognostic significance of these miRNAs. The Limma R package was applied to compare the expression of miRNAs between tumor and normal tissues. We uncovered 214 publications containing 223 miRNAs identified as potential prognostic biomarkers for HCC. In the survival analysis, the expression levels of 55 and 84 miRNAs were significantly correlated with overall survival in RNA-seq and gene chip datasets, respectively. The most significant miRNAs were hsa-miR-149, hsa-miR-139, and hsa-miR-3677 in the RNA-seq and hsa-miR-146b-3p, hsa-miR-584, and hsa-miR-31 in the microarray dataset. Of the 223 miRNAs studied, the expression was significantly altered in 102 miRNAs in tumors compared to normal liver tissues. In summary, we set up an integrated miRNA expression database and validated prognostic miRNAs in HCC.
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影响因子：
81.5
作者：
Llovet, Josep M.;Zucman-Rossi, Jessica;Gores, Gregory
通讯作者：
Gores, Gregory
DOI：
10.1002/cjp2.37
发表时间：
2016-04
期刊：
The journal of pathology. Clinical research
影响因子：
--
作者：
Makowska Z;Boldanova T;Adametz D;Quagliata L;Vogt JE;Dill MT;Matter MS;Roth V;Terracciano L;Heim MH
通讯作者：
Heim MH
影响因子：
29.4
作者：
Laurent-Puig, P;Legoix, P;Zucman-Rossi, J
通讯作者：
Zucman-Rossi, J
影响因子：
158.5
作者：
Llovet, Josep M.;Ricci, Sergio;Bruix, Jordi
通讯作者：
Bruix, Jordi
影响因子：
64.8
作者：
He, Lin;He, Xingyue;Hannon, Gregory J.
通讯作者：
Hannon, Gregory J.