Blood Plasma Small Non-Coding RNAs as Diagnostic Molecules for the Progesterone-Receptor-Negative Phenotype of Serous Ovarian Tumors

• Published in: International journal of molecular sciences Vol. 24; no. 15; p. 12214
• Main Authors: Timofeeva, Angelika V, Fedorov, Ivan S, Asaturova, Aleksandra V, Sannikova, Maya V, Tregubova, Anna V, Mayboroda, Oleg A, Khabas, Grigory N, Frankevich, Vladimir E, Sukhikh, Gennady T
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 30.07.2023; MDPI
• Subjects: Adjuvant treatment; Analysis; Biomarkers; Biosynthesis; CA125; Cancer; Cancer therapies; Chemotherapy; Development and progression; Disease; DNA methylation; Gene expression; Genetic aspects; Medical screening; MicroRNA; MicroRNAs; miRNA; Mortality; mRNA; Mucins; new-generation sequencing (NGS); Ovarian cancer; piRNA; Progesterone; progesterone receptor (PGR); Tumors; Germany; Russia; borderline cystadenoma; cytoreduction; mRNA; blood plasma; formalin-fixed paraffin-embedded (FFPE) blocks; new-generation sequencing (NGS); piRNA; quantitative RT-PCR; CA125; miRNA; serous ovarian carcinoma; benign cystadenoma; progesterone receptor (PGR)
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms241512214

The expression level of the progesterone receptor (PGR) plays a crucial role in determining the biological characteristics of serous ovarian carcinoma. Low PGR expression is associated with chemoresistance and a poorer outcome. In this study, our objective was to explore the relationship between tumor progesterone receptor levels and RNA profiles (miRNAs, piwiRNAs, and mRNAs) to understand their biological characteristics and behavior. To achieve this, we employed next-generation sequencing of small non-coding RNAs, quantitative RT-PCR, and immunohistochemistry to analyze both FFPE and frozen tumor samples, as well as blood plasma from patients with benign cystadenoma (BSC), serous borderline tumor (SBT), low-grade serous ovarian carcinoma (LGSOC), and high-grade serous ovarian carcinoma (HGSOC). Our findings revealed significant upregulation of and , along with downregulation of , in LGSOC and HGSOC compared to BSC. We observed significant correlations of PGR expression levels in tumor tissue with the contents of miR-199a-5p, miR-214-3p, miR-424-3p, miR-424-5p, and miR-125b-5p, which potentially target , and , as well as with the tissue content of miR-16-5p, miR-17-5p, miR-20a-5p, and miR-93-5p, which are associated with the epithelial-mesenchymal transition (EMT) of cells. The levels of EMT-associated miRNAs were significantly correlated with the content of hsa_piR_022437, hsa_piR_009295, hsa_piR_020813, hsa_piR_004307, and hsa_piR_019914 in tumor tissues. We developed two optimal logistic regression models using the quantitation of hsa_piR_020813, miR-16-5p, and hsa_piR_022437 or hsa_piR_004307, hsa_piR_019914, and miR-93-5p in the tumor tissue, which exhibited a significant ability to diagnose the PGR-negative tumor phenotype with 93% sensitivity. Of particular interest, the blood plasma levels of miR-16-5p and hsa_piR_022437 could be used to diagnose the PGR-negative tumor phenotype with 86% sensitivity even before surgery and chemotherapy. This knowledge can help in choosing the most effective treatment strategy for this aggressive type of ovarian cancer, such as neoadjuvant chemotherapy followed by cytoreduction in combination with hyperthermic intraperitoneal chemotherapy and targeted therapy, thus enhancing the treatment's effectiveness and the patient's longevity.