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- Title
Identification and characterization of novel serum microRNA candidates from deep sequencing in cervical cancer patients.
- Authors
Li Juan; Hong-li Tong; Pengjun Zhang; Guanghong Guo; Zi Wang; Xinyu Wen; Zhennan Dong; Ya-ping Tian
- Abstract
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.
- Subjects
MICRORNA genetics; CERVICAL cancer patients; CERVICAL cancer; CANCER education; BLOOD plasma; PATIENT acceptance of health care; PROGNOSIS
- Publication
Scientific Reports, 2014, p1
- ISSN
2045-2322
- Publication type
Article
- DOI
10.1038/srep06277