New perspectives in searching diagnostic markers for ovarian endometriosis

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Abstract

Objective: Determination of expression levels of molecular genetic markers to improve the diagnosis of ovarian endometriosis (OE) and define prognostic criteria for recurrence and possible malignant transformation.

Materials and methods: Expression levels of lncRNAs in 30 and 25 cases of ovarian endometriotic cysts and ovarian adenocarcinomas, respectively, as well as in 25 cases in the control group, were studied using molecular genetic testing.

Results: Persistent increase in lncRNA MALAT1 expression level was found with the disease progression, and consistent increase and reduction of Linc-ROR expression level in the control group and in the group of patients with adenocarcinoma. For differential diagnosis of normal condition and OE, OE and adenocarcinoma, ROC curves for lncRNA expression levels were constructed, and important rule was derived to determine the histological status of the surgical material.

Conclusion: According to the results of expression levels of lncRNA markers MALAT1 and Linc-ROR in the groups of patients with endometriosis, adenocarcinoma and in the control group, the assessment of their potential possibility for predicting these conditions was suggested. Further targeted research in this area is necessary to develop new prognostic markers for endometriosis-associated ovarian cancer and search for additional therapeutic targets.

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About the authors

Sergey A. Levakov

I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia (Sechenov University)

Email: levakoff@yandex.ru
ORCID iD: 0000-0002-4591-838X

Dr. Med. Sci., Professor, Head of the Department of Obstetrics and Gynecology, ICM named after N.V. Sklifosovsky

Russian Federation, 119991, Moscow, Trubetskaya str., 8-2

Tatyana A. Gromova

I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia (Sechenov University)

Author for correspondence.
Email: tgromova928@yandex.ru
ORCID iD: 0000-0001-6104-9842

PhD, Assistant of the Department of Obstetrics and Gynecology, ICM named after N.V. Sklifosovsky

Russian Federation, 119991, Moscow, Trubetskaya str., 8-2

Aynur E. Mamedova

I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia (Sechenov University)

Email: tgromova928@yandex.ru
ORCID iD: 0000-0002-9642-4523

post-graduate student of the Department of Obstetrics and Gynecology, ICM named after N.V. Sklifosovsky

Russian Federation, 119991, Moscow, Trubetskaya str., 8-2

Nadezhda V. Antipova

Academicians M.M. Shemyakin and Yu.A. Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences

Email: tgromova928@yandex.ru
ORCID iD: 0000-0002-5799-7767

PhD, Senior Researcher at the Laboratory of Membrane and Bioenergetic Systems

Russian Federation, Moscow, GSP-7, Miklukho-Maklaya str., 16/10

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Supplementary files

Supplementary Files
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2. Fig. 1. Expression level of lncRNA Linc-ROR in groups of prospective analysis

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3. Fig. 2. Expression level of lncRNA MALAT1 in groups of prospective analysis

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4. Fig. 3. ROC curves for the differential diagnosis of normal and endometriosis: for MALAT1 the area under the curve is 98%, for Linc-ROR - 100%

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5. Fig. 4. ROC curves for the differential diagnosis of normal and carcinoma: for MALAT1 the area under the curve is 98%, for Linc-ROR - 100%

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6. Fig. 5. ROC curves for the differential diagnosis of ESI and carcinoma: for MALAT1 the area under the curve is 27.9%, for LincROR - 70.8%

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7. Fig. 7. ROC curve for prognosis of endometriosis

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8. Fig. 8. ROC curve for prognosis of ovarian carcinoma

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