2020
DOI: 10.1016/j.ajog.2020.02.050
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Accurate diagnosis of endometriosis using serum microRNAs

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Cited by 119 publications
(108 citation statements)
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“…There are some cases of inconsistency between these studies. For instance, expression of miR-451a has been shown to be up-regulated in serum ( 13 ), exosomes ( 20 ) and endometriosis lesions of patients with endometriosis ( 23 ) as well as samples obtained from mouse models of endometriosis ( 22 ). However, another study has reported downregulation of miR-451 in the eutopic endometrial tissues of patients with endometriosis compared with control tissues ( 53 ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…There are some cases of inconsistency between these studies. For instance, expression of miR-451a has been shown to be up-regulated in serum ( 13 ), exosomes ( 20 ) and endometriosis lesions of patients with endometriosis ( 23 ) as well as samples obtained from mouse models of endometriosis ( 22 ). However, another study has reported downregulation of miR-451 in the eutopic endometrial tissues of patients with endometriosis compared with control tissues ( 53 ).…”
Section: Discussionmentioning
confidence: 99%
“…Importantly, neither phase of menstrual cycle nor use of hormonal medicines affected the expression levels in these miRNAs. Thus, authors concluded the potential of the miRNAs panel in detection of endometriosis in clinical setting (13). Table 3 summarizes the results of studies which reported diagnostic value of miRNAs in endometriosis.…”
Section: Mirnas and Endometriosismentioning
confidence: 99%
“…RT-qPCR: reverse transcription quantitative polymerase chain reaction; miR: microRNA; ANXA2: Annexin A2; NC: negative control. 6 Analytical Cellular Pathology…”
Section: Mir-342 Negatively Regulates Anxa2 Expressionmentioning
confidence: 99%
“…Excitingly, in a recent prospective study by Mustafa et al, 100 patients undergoing gynecologic surgery for pelvic pain and/or infertility showed that a set of six miRNAs were able to accurately distinguish between endometriosis and other gynecologic conditions, regardless of current hormonal treatments or menstrual cycle phase [12]. This study was the first to apply expression testing of a panel of miRNAs previously determined as unique to endometriosis to predict the diagnosis of endometriosis in a patient with pelvic pain and/or infertility.…”
Section: Editorialmentioning
confidence: 99%