4.6 Article

Identification of miRNAs as diagnostic and prognostic markers in hepatocellular carcinoma

期刊

AGING-US
卷 13, 期 4, 页码 6115-6133

出版社

IMPACT JOURNALS LLC

关键词

hepatocellular carcinoma; miRNAs; bioinformatics; GEO database; biomarker

资金

  1. National Natural Science Foundation of China [81702375, 81572726]
  2. Science and Technology Project of Guangzhou City, China [201704020175]
  3. Natural Science Foundation of Guangdong Province, China [2018A030313641]
  4. Science and Technology Planning Project of Guangzhou City [201804010211]

向作者/读者索取更多资源

Analyzing micro-ribonucleic acid (miRNA) profiling datasets from Gene Expression Omnibus (GEO) DataSet, this study identified three differential miRNAs as valuable markers in hepatocellular carcinoma (HCC), with hsa-let-7e showing potential as a novel diagnostic and prognostic biomarker. Experimental data revealed that upregulated let-7e promoted tumor cell growth and potentially controlled cancer cell proliferation through regulating mitochondrial apoptosis and autophagy.
The development of high-throughput technologies has yielded a large amount of data from molecular and epigenetic analysis that could be useful for identifying novel biomarkers of cancers. We analyzed Gene Expression Omnibus (GEO) DataSet micro-ribonucleic acid (miRNA) profiling datasets to identify miRNAs that could have value as diagnostic and prognostic biomarkers in hepatocellular carcinoma (HCC). We adopted several computing methods to identify the functional roles of these miRNAs. Ultimately, via integrated analysis of three GEO DataSets, three differential miRNAs were identified as valuable markers in HCC. Combining the results of receiver operating characteristic (ROC) analyses and Kaplan-Meier Plotter (KM) survival analyses, we identified hsa-let-7e as a novel potential biomarker for HCC diagnosis and prognosis. Then, we found via quantitative reverse-transcription polymerase chain reaction (RT-qPCR) that let-7e was upregulated in HCC tissues and that such upregulation was significantly associated with poor prognosis in HCC. The results of functional analysis indicated that upregulated let-7e promoted tumor cell growth and proliferation. Additionally, via mechanistic analysis, we found that let-7e could regulate mitochondrial apoptosis and autophagy to adjust and control cancer cell proliferation. Therefore, the integrated results of our bioinformatics analyses of both clinical and experimental data showed that let-7e was a novel biomarker for HCC diagnosis and prognosis and might be a new treatment target.

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