In Silico Screening of Circulating MicroRNAs as Potential Biomarkers for the Diagnosis of Ovarian Cancer
Joint Authors
Wu, Lei
Shang, Wenwen
Zhao, Hong
Rong, Guodong
Zhang, Yan
Xu, Ting
Zhang, Jiexin
Huang, Peijun
Wang, Fang
Source
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Current screening tests for the diagnosis of ovarian cancer (OC) face enduring challenges.
However, microRNAs (miRNAs) are stable in the circulation and may be promising molecular biomarkers for OC prediction.
Circulating miRNA expression profiles in OC were analyzed using sequencing data from the Gene Expression Omnibus database.
Differentially expressed miRNAs were generated from GSE94533, of which some were selected as candidate miRNAs based on an electronic search of the literature and comprehensive evaluation.
A meta-analysis was preformed to integrate an evaluation index for these miRNAs in diagnosing OC patients.
An independent validation set (GSE106817) was also conducted to further confirm the roles of these miRNAs.
We identified four MIR200 members (MIR200A, MIR200B, MIR200C, and MIR429) and MIR25 as being differentially expressed among malignant or benign ovarian tumor patients and healthy controls.
In the meta-analysis, these five miRNAs yielded a pooled area under the receiver operating characteristic (ROC) curve (AUC) of 0.78 (sensitivity: 64%, specificity: 88%) in discriminating OC from healthy controls, while the four MIR200 members demonstrated a summary AUC of 0.81 (sensitivity: 92%, specificity: 69%) in differing OC cases from patients with benign disease.
In the validation set, differential expression and ROC curve analyses of these miRNAs were consistent except for MIR25.
The circulating MIR200 family has the potential to become reliable and noninvasive biomarkers for OC diagnosis.
Studies with larger cohorts are warranted to validate the applicability of these miRNAs.
American Psychological Association (APA)
Wu, Lei& Shang, Wenwen& Zhao, Hong& Rong, Guodong& Zhang, Yan& Xu, Ting…[et al.]. 2019. In Silico Screening of Circulating MicroRNAs as Potential Biomarkers for the Diagnosis of Ovarian Cancer. Disease Markers،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1147756
Modern Language Association (MLA)
Wu, Lei…[et al.]. In Silico Screening of Circulating MicroRNAs as Potential Biomarkers for the Diagnosis of Ovarian Cancer. Disease Markers No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1147756
American Medical Association (AMA)
Wu, Lei& Shang, Wenwen& Zhao, Hong& Rong, Guodong& Zhang, Yan& Xu, Ting…[et al.]. In Silico Screening of Circulating MicroRNAs as Potential Biomarkers for the Diagnosis of Ovarian Cancer. Disease Markers. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1147756
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1147756