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International Journal of Gynecological CancerVolume 33, Issue 9, 1 September 2023, Pages 1394-1401

MicroRNA expression as a diagnostic parameter in early endometrial cancer(Article)

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  • aUniversity of Kragujevac, Faculty of Science, Kragujevac, Serbia
  • bHealth Center Raška, Raška, Serbia
  • cUniversity of Kragujevac, Faculty of Medical Sciences, Kragujevac, Serbia

Abstract

Objectives MicroRNAs (miRNAs) have emerged as biomarkers that showed strong diagnostic potential in various diseases, including cancer. This study aimed to estimate the expression and diagnostic potential of miRNAs (miR-200a, miR-21, miR-210, miR-126, and miR-130a) in endometrial cancer samples. The DICER1 and AGO2 genes were also analysed. Methods The expression of miRNAs, DICER1, and AGO2 was quantified using the quantitative real-time PCR method in 40 tissue samples with early-stage endometrial cancer and 16 normal controls. Results All tested miRNAs showed significantly higher expression in endometrial cancer compared with the control group, while DICER1 was significantly downregulated. The expression levels of miR-200a, miR-21, and miR-210 were negatively correlated with DICER1 expression. Individually, miR-200a, miR-21, miR-210, and DICER1 showed the best diagnostic performance in distinguishing patients with endometrial cancer from normal controls, whereas a combination of all biomarkers resulted in an even higher area under the curve. Conclusions Our study showed that a panel of selected biomarkers (miR-200a, miR-21, miR-210, miR-126, miR-130a, DICER1, and AGO2) may be candidates for the detection of early-stage endometrial cancer. © IGCS and ESGO 2023.

Author keywords

Uterine Cancer

Indexed keywords

EMTREE drug terms:argonaute 2 proteindicermicroRNAmicroRNA 126microRNA 200amicroRNA 21microRNA 210DEAD box proteinDICER1 protein, humanmicroRNAribonuclease IIItumor marker
EMTREE medical terms:adultagedarea under the curveArticlebody masscancer patientcancer stagingclinical articleclinical featurecomorbiditycontrolled studycorrelation analysisdiagnostic accuracydiagnostic test accuracy studydiagnostic valueendometrium cancerfemalegene expressionhigh risk populationhumanhuman tissueprotein expressionquantitative analysisreal time polymerase chain reactionreceiver operating characteristicsensitivity and specificitystatistical significanceuterus cancerendometriumendometrium tumorgeneticsmetabolism
MeSH:Biomarkers, TumorDEAD-box RNA HelicasesEndometrial NeoplasmsEndometriumFemaleHumansMicroRNAsRibonuclease III

Chemicals and CAS Registry Numbers:

ribonuclease III, 78413-14-6, 9073-62-5;

Biomarkers, Tumor; DEAD-box RNA Helicases; DICER1 protein, human; MicroRNAs; Ribonuclease III

Funding details

Funding sponsor Funding number Acronym
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja451-03-47/2023-01/200111,451-03-47/2023-01/200122MPNTR
  • 1

    The work was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia (Agreement no. 451-03-47/2023-01/200122 and no. 451-03-47/2023-01/200111). The authors declare that no other funds, grants, support were obtained for this study.

  • ISSN: 1048891X
  • CODEN: IJGCE
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1136/ijgc-2023-004579
  • PubMed ID: 37541686
  • Document Type: Article
  • Publisher: BMJ Publishing Group

  Blagojević, S.; Department of Biology and Ecology, University of Kragujevac, Faculty of Science, Kragujevac, Serbia;
© Copyright 2023 Elsevier B.V., All rights reserved.

Cited by 4 documents

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Improvement of Diagnosis by Transvaginal Ultrasound and Prognosis of Endometrial Cancer using miR-222-3p: A Prospective Cohort Study
(2024) Clinical and Experimental Obstetrics and Gynecology
Blagojević, S. , Milutinović, M. , Cvetković, D.
Response to: Correspondence on 'MicroRNA expression as a diagnostic parameter in early endometrial cancer' by Coada et al
(2023) International Journal of Gynecological Cancer
View details of all 4 citations
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