Identification and characterization of novel serum microRNA candidates from deep sequencing in cervical cancer patients
| Autor: | Pengjun Zhang, Zi Wang, Hongli Tong, Zhennan Dong, Guanghong Guo, Xinyu Wen, Li Juan, Yaping Tian |
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| Rok vydání: | 2014 |
| Předmět: |
Cervical cancer
Multidisciplinary Base Sequence business.industry Molecular Sequence Data High-Throughput Nucleotide Sequencing Uterine Cervical Neoplasms Middle Aged medicine.disease Bioinformatics Article Deep sequencing MicroRNAs Case-Control Studies Biomarkers Tumor Humans Medicine Female Identification (biology) business Serum microrna |
| Zdroj: | Scientific Reports |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/srep06277 |
| Popis: | Small non-coding microRNAs (miRNAs) are involved in cancer development and progression and serum profiles of cervical cancer patients may be useful for identifying novel miRNAs. We performed deep sequencing on serum pools of cervical cancer patients and healthy controls with 3 replicates and constructed a small RNA library. We used MIREAP to predict novel miRNAs and identified 2 putative novel miRNAs between serum pools of cervical cancer patients and healthy controls after filtering out pseudo-pre-miRNAs using Triplet-SVM analysis. The 2 putative novel miRNAs were validated by real time PCR and were significantly decreased in cervical cancer patients compared with healthy controls. One novel miRNA had an area under curve (AUC) of 0.921 (95% CI: 0.883, 0.959) with a sensitivity of 85.7% and a specificity of 88.2% when discriminating between cervical cancer patients and healthy controls. Our results suggest that characterizing serum profiles of cervical cancers by Solexa sequencing may be a good method for identifying novel miRNAs and that the validated novel miRNAs described here may be cervical cancer-associated biomarkers. |
| Databáze: | OpenAIRE |
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