Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients.

Ovarian cancer is one of the most common cancer types in women characterized by a high mortality rate due to lack of early diagnosis. Circulating miRNAs besides being important regulators of cancer development could be potential biomarkers to aid diagnosis. We performed the circulating miRNA expression analysis in plasma samples obtained from ovarian cancer patients stratified into FIGO I, FIGO III, and FIGO IV stages and from healthy females using the NanoString quantitative assay. Forty-five miRNAs were differentially expressed, out of these 17 miRNAs showed significantly different expression between controls and patients, 28 were expressed only in patients, among them 19 were expressed only in FIGO I patients. Differentially expressed miRNAs were ranked by the network-based analysis to assess their importance. Target genes of the differentially expressed miRNAs were identified then functional annotation of the target genes by the GO and KEGG-based enrichment analysis was carried out. A general and an ovary-specific protein-protein interaction network was constructed from target genes. Results of our network and the functional enrichment analysis suggest that besides HSP90AA1, MYC, SP1, BRCA1, RB1, CFTR, STAT3, E2F1, ERBB2, EZH2, and MET genes, additional genes which are enriched in cell cycle regulation, FOXO, TP53, PI-3AKT, AMPK, TGFß, ERBB signaling pathways and in the regulation of gene expression, proliferation, cellular response to hypoxia, and negative regulation of the apoptotic process, the GO terms have central importance in ovarian cancer development. The aberrantly expressed miRNAs might be considered as potential biomarkers for the diagnosis of ovarian cancer after validation of these results in a larger cohort of ovarian cancer patients.

Expression of CD24 in plasma, exosome and ovarian tissue samples of serous ovarian cancer patients.

CD24 is a small molecular weight cell-surface protein and an independent marker for poor prognosis in the different type of cancers. We aimed to determine the expression of CD24 in plasma, exosomes and ovarian tissue samples of serous ovarian cancer patients. We collected tissue and blood samples from 21 cases of serous ovarian cancer and eight healthy controls. We used silica adsorption method for isolation of RNA. The cDNA was synthesized using quantitative real-time PCR. We used beta-globin as a housekeeping gene for the normalization of the data. Protein-protein and miRNA networking were analyzed. There was a significant difference in the expression of CD24 in ovarian tissue between controls and patients (0.16 ± 0.32 vs. 44.97 ± 68.06; p < 0.01), while CD24 did not show expression in each plasma and exosome samples. There was a correlation in the expression of CD24 and FIGO grading between controls and patients. CD24 expression was detected in exosomes in 38.1% of patients, mainly with FIGO III, and in their plasma in 9.5% of cases. Our network analysis shows LYN, SELP, FGR, and NPM1 proteins are interacting with CD24. Our study demonstrates higher expression of CD24 in ovarian cancer patients' tissue samples, and there is an association with FIGO classification. However, CD24 showed expression only in some cell-free plasma and exosome samples.

Detection of cell-free, exosomal and whole blood mitochondrial DNA copy number in plasma or whole blood of patients with serous epithelial ovarian cancer.

Ovarian tumor is one of the leading causes of cancer among women. Patients are diagnosed at an advanced stage, usually. There is a need for new specific and sensitive biomarkers. Mitochondrial DNA copy number change was observed in various cancers. Our aim was to detect mitochondrial DNA copy number in whole blood (wb-mtDNA) and in plasma (cell-free and exosome encapsulated mtDNA) in patients with serous epithelial ovarian tumor. DNA was isolated from EDTA blood and plasma obtained from 24 patients and 24 healthy controls. Exosomes were isolated from cell-free plasma, and exosome encapsulated DNA (exoDNA) was extracted. Quantitative-real-time PCR was performed with Human Mitochondrial DNA (mtDNA) Monitoring Primer Set. Kruskall­Wallis and Mann­Whitney U test were used for data analysis. Wb-mtDNA copy number was significantly different among healthy controls and patients in multiple comparison (p = 0.0090 considering FIGO stage independently, and p = 0.0048 considering early- and late-stage cancers). There was a significant decrease among early-stage, all advanced stage and all cancer patients (FIGO I: 32.5 ± 8.3, p = 0.0061; FIGO III + IV: 37.2 ± 13.7 p = 0.0139; FIGO I + III + IV: 35.6 ± 12.2, p = 0.0017) or FIGO III patients alone (32.8 ± 5.6, p = 0.00089) compared to healthy controls. We found significant increase in copy number in exosomal mtDNA in cancer patients (236.0 ± 499.0, p = 0.0155), advanced-stage cancer patients (333.0 ± 575.0, p = 0.0095), of FIGO III (362.0 ± 609.2, p = 0.0494), and FIGO IV (304.0 ± 585.0, p = 0.0393) patients alone but not in samples of FIGO I patients (10.0 ± 3.5, p = 0.3907). In multiple comparison the increase was significant considering early- and late-stage cancers (p = 0.0253). Cell-free mtDNA copy numbers were not increased significantly. We found the highest copy number of mtDNA in exosomes, followed by plasma and peripheral blood in late-stage cancer patients. We observed significant difference in wb-mtDNA copy number between healthy controls and both early- and late-stage cancer patients.