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Omics technologies to malignant ovarian tumors detection: from metabolomic studies of biological fluids to minimally invasive and non-invasive transcriptomic markers

https://doi.org/10.25557/2073-7998.2025.05.31-35

Abstract

Modern oncogynecology research is aimed at screening molecular diagnostic markers of ovarian cancer (OC). The aim of the study was to identify new potential non- and minimally invasive molecular markers of OC using omics technologies. The study included 300 patients with OC and 50 conditionally healthy volunteers. Urine and blood plasma were used for analysis. Separation of metabolites was performed on a Vanquish Flex chromatograph and an Orbitrap Exploris 480 mass spectrometer. The miRNA level was determined by the RT-PCR method. In patients with OC, significant changes in the blood plasma and urine metabolome were detected, and abnormal levels of miRNAs were detected in urine and plasma, some of which (miR-33b-5p, miR-423-5p, miR-6743-5p, miR-4668-3p, miR-23a-3p, miR-4502, miR-17-5p, miR-320a-3p, miR-330-5p) have potential as non- and minimally invasive OC markers.

About the Authors

D. S. Kutilin
National Medical Research Center of Oncology
Russian Federation

Denis S. Kutilin 

63, 14 liniya st., Rostov-on-Don, 344037, Russian Federation 



F. E. Filippov
Clinical Oncological Dispensary No. 1
Russian Federation

146, Dimitrova st., Krasnodar, 350040, Russian Federation 



N. V. Porkhanova
National Medical Research Center of Oncology; Clinical Oncological Dispensary No. 1
Russian Federation

63, 14 liniya st., Rostov-on-Don, 344037, Russian Federation

146, Dimitrova st., Krasnodar, 350040, Russian Federation 



References

1. Kutilin D.S., Filippov F.E., Guskova O.N. et al. The metabolomic profile features of some biological fluids in serous ovarian adenocarcinoma patients. Klin Onkol. 2025; 38(1): 38-44.

2. Kutilin D.S., Filippov F.E., Porhanova N.V., Maksimov A.Yu. Urine transcriptomic profile in terms of malignant ovarian tumors. South Russian Journal of Cancer. 2024;5(3):76-90. https://doi.org/10.37748/2686-9039-2024-5-3-7.

3. Ding J., Li X., Hu H. TarPmiR: a new approach for microRNA target site prediction. Bioinformatics. 2016; 32(18): 2768-2775

4. Tsandekova M.R., Porkhanova N.V., Kutilin D.S. Molekulyarnyye podtipy seroznoy adenokartsinomy yaichnika i vyzhivayemost’ patsiyentok [Serous Ovarian Adenocarcinoma Molecular Subtypes And Patient Survival]. Onkoginekologiya [Gynecologic Oncology]. 2022; 4: 4-24. (In Russ.)


Review

For citations:


Kutilin D.S., Filippov F.E., Porkhanova N.V. Omics technologies to malignant ovarian tumors detection: from metabolomic studies of biological fluids to minimally invasive and non-invasive transcriptomic markers. Medical Genetics. 2025;24(5):31-35. (In Russ.) https://doi.org/10.25557/2073-7998.2025.05.31-35

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ISSN 2073-7998 (Print)