Back to Search Start Over

Oncogenic microRNA signature for early diagnosis of cervical intraepithelial neoplasia and cancer

Authors :
Stephanie S. Liu
Daniel K. H. Chu
Enders K. O. Ng
Tina N. Wei
Siew F. Ngu
Lesley S. K. Lau
Annie N.Y. Cheung
Philip P.C. Ip
Karen K. L. Chan
Ka Yu Tse
Hextan Y.S. Ngan
Mandy M.Y. Chu
Source :
Molecular Oncology, Molecular Oncology, Vol 12, Iss 12, Pp 2009-2022 (2018)
Publication Year :
2018
Publisher :
John Wiley and Sons Inc., 2018.

Abstract

Cervical cancer is one of the leading causes of cancer death in women globally, despite the widespread use of cytology/human papillomavirus (HPV) screening. In the present study, we aimed to identify the potential role of microRNA (miRNA) as a diagnostic biomarker in the detection of cervical pre-malignant lesions and cancer. In total, we recruited 582 patients with cervical diseases and 145 control individuals. The expression levels of six miRNAs (miR-20a, miR-92a, miR-141, miR-183*, miR-210 and miR-944) were found to be significantly up-regulated in cervical cancer and pre-malignant lesions compared to normal cervical samples, indicating that they are oncogenic miRNAs. Receiver operating characteristic curve analysis showed that these six miRNAs can be used to distinguish patients with cervical pre-malignant lesions or cancer from normal individuals and they also had a good predictive performance, particularly in cervical lesions. Combined use of these six miRNAs further enhanced the diagnostic accuracy over any single miRNA marker, with an area under the curve of 0.998, 0.996 and 0.959, a diagnostic sensitivity of 97.9%, 97.2% and 91.4%, and a specificity of 98.6%, 96.6% and 87.6% for low-grade lesions, high-grade lesions and cancer, respectively. This six oncogenic miRNA signature may be suitable for use as diagnostic marker for cervical pre-malignant lesions and cancer in the near future.

Details

Language :
English
ISSN :
18780261 and 15747891
Volume :
12
Issue :
12
Database :
OpenAIRE
Journal :
Molecular Oncology
Accession number :
edsair.doi.dedup.....ec1003517a580f526f584288240db903