USF-LVHN SELECT
Serum microRNAs as diagnostic markers of endometriosis: a comprehensive array-based analysis.
Publication/Presentation Date
8-1-2016
Abstract
OBJECTIVE: To investigate serum microRNAs (miRNAs) in women with endometriosis.
DESIGN: Case-control study.
SETTING: University hospital.
PATIENT(S): Women with (n = 24) and without (n = 24) endometriosis.
INTERVENTION(S): Serum samples were obtained from surgically diagnosed subjects.
MAIN OUTCOME MEASURE(S): miRNA from women with without endometriosis were used for microarray profiling and confirmed by means of quantitative real-time polymerase chain reaction (qRT-PCR). Receiver operating characteristic (ROC) analysis was performed on differentially expressed miRNAs.
RESULT(S): miR-3613-5p, miR-6755-3p were down-regulated and miR-125b-5p, miR-150-5p, miR-342-3p, miR-143-3p, miR-145-5p, miR-500a-3p, miR-451a, miR-18a-5p were up-regulated more than 10-fold in the microarray. These results were confirmed with the use of qRT-PCR. Among the differentially expressed miRNAs, miR-125b-5p expression levels had the highest area under the ROC curve (AUC). The maximum AUC score of 1.000 was achieved when combining miR-125b-5p, miR-451a, and miR-3613-5p with the use of a logistic regression model.
CONCLUSION(S): We identified several miRNAs in serum that distinguished subjects with endometriosis from those without. miR-125b-5p had the greatest potential as a single diagnostic biomarker. A combination of that miRNA with miR-451a and miR-3613-5p further improved diagnostic performance.
Volume
106
Issue
2
First Page
402
Last Page
409
ISSN
1556-5653
Published In/Presented At
Cosar, E., Mamillapalli, R., Ersoy, G. S., Cho, S., Seifer, B., & Taylor, H. S. (2016). Serum microRNAs as diagnostic markers of endometriosis: a comprehensive array-based analysis. Fertility and sterility, 106(2), 402–409. https://doi.org/10.1016/j.fertnstert.2016.04.013
Disciplines
Medical Education | Medicine and Health Sciences
PubMedID
27179784
Department(s)
USF-LVHN SELECT Program, USF-LVHN SELECT Program Students
Document Type
Article