Author/Authors :
Pergialiotis, Vasilios Laboratory of Experimental Surgery and Surgical Research N.S. Christeas, Athens, Greece , Tagkou, Nikoletta Maria Laboratory of Experimental Surgery and Surgical Research N.S. Christeas, Athens, Greece , Tsimpiktsioglou, Athina Laboratory of Experimental Surgery and Surgical Research N.S. Christeas, Athens, Greece , Klavdianou, Olga Laboratory of Experimental Surgery and Surgical Research N.S. Christeas, Athens, Greece , Neonaki, Antonia Laboratory of Experimental Surgery and Surgical Research N.S. Christeas, Athens, Greece , Trompoukis, Pantelis Third Department of Obstetrics and Gynecology- Attikon University Hospital - National and Kapodistrian University of Athens - Athens, Greece
Abstract :
Urocortin (UCN) is a neuropeptide that belongs to the corticotrophin-releasing hormone family and is expressed by
eutopic and ectopic human endometria. The past years, this expression has been thoroughly investigated in the field
of endometriosis. The objective of this systematic review is to accumulate current evidence related to the expression
of UCN in tissue and blood samples of patients suffering from endometriosis. Literature search was designed according
to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and primarily
conducted using the Medline (1966-2018), Scopus (2004-2018), EMBASE (1947-2018) and Clinicaltrials.gov (2008-
2018) databases, along with the reference lists of electronically retrieved full-text papers. Overall, eight studies were
retrieved. Current evidence suggests that the expression of UCN is increased in patients with ovarian endometriomas
and that its levels may correlate with the severity of the disease. The diagnostic efficacy of UCN1 plasma levels was
evaluated in three studies. Two of them suggested that the sensitivity and specificity of the method may reach, and
even exceed, 80%. However, the wide variation in outcome reporting and outcome reporting measures in endometriosis
among the included studies precludes meta-analysis of available data. Therefore, although UCN seems to be a
promising biomarker for the identification and follow-up of patients that suffer from endometriosis, more studies are
needed to reach firm conclusions with respect to its predictive accuracy.