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001-es BibID:BIBFORM080605
035-os BibID:(cikkazonosító)E4119 (PMID)31450846 (scopus)85071765729 (wos)000486888400051
Első szerző:Dvorská, Dana
Cím:Aberrant Methylation Status of Tumour Suppressor Genes in Ovarian Cancer Tissue and Paired Plasma Samples / Dana Dvorská, Dušan Braný, Bálint Nagy, Marián Grendár , Robert Poka, Beáta Soltész, Marianna Jagelková, Katarína Zelinová, Zora Lasabová, Pavol Zubor, Zuzana Danková
Dátum:2019
ISSN:1661-6596 1422-0067
Megjegyzések:Ovarian cancer is a highly heterogeneous disease and its formation is affected by many epidemiological factors. It has typical lack of early signs and symptoms, and almost 70% of ovarian cancers are diagnosed in advanced stages. Robust, early and non-invasive ovarian cancer diagnosis will certainly be beneficial. Herein we analysed the regulatory sequence methylation profiles of the RASSF1, PTEN, CDH1 and PAX1 tumour suppressor genes by pyrosequencing in healthy, benign and malignant ovarian tissues, and corresponding plasma samples. We recorded statistically significant higher methylation levels (p < 0.05) in the CDH1 and PAX1 genes in malignant tissues than in controls (39.06 ? 18.78 versus 24.22 ? 6.93; 13.55 ? 10.65 versus 5.73 ? 2.19). Higher values in the CDH1 gene were also found in plasma samples (22.25 ? 14.13 versus 46.42 ? 20.91). A similar methylation pattern with positive correlation between plasma and benign lesions was noted in the CDH1 gene (r = 0.886, p = 0.019) and malignant lesions in the PAX1 gene (r = 0.771, p < 0.001). The random forest algorithm combining methylation indices of all four genes and age determined 0.932 AUC (area under the receiver operating characteristic (ROC) curve) prediction power in the model classifying malignant lesions and controls. Our study results indicate the effects of methylation changes in ovarian cancer development and suggest that the CDH1 gene is a potential candidate for non-invasive diagnosis of ovarian cancer.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
liquid biopsy
pirosequencing
ovarian cancer
Megjelenés:International Journal of Molecular Sciences. - 20 : 17 (2019), p. 1-19. -
További szerzők:Braný, Dušan Nagy Bálint (1956-) (molekuláris genetikus) Grendar, Marian Póka Róbert (1960-) (szülész-nőgyógyász, klinikai onkológus) Soltész Beáta (1987-) (molekuláris biológus) Jagelková, Marianna Zelinová, Katarína Lasabova, Zora Zubor, Pavol Danková, Zuzana
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DOI
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001-es BibID:BIBFORM080828
035-os BibID:(cikkazonosító)4533 (scopus)85072531584 (wos)000489100500212
Első szerző:Penyige András (molekuláris genetikus)
Cím:Circulating miRNA Profiling in Plasma Samples of Ovarian Cancer Patients / András Penyige, Éva Márton, Beáta Soltész, Melinda Szilágyi-Bónizs, Róbert Póka, János Lukács, Lajos Széles, Bálint Nagy
Dátum:2019
ISSN:1661-6596 1422-0067
Megjegyzések: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 di erentially expressed, out of these 17 miRNAs showed significantly di erent expression between controls and patients, 28 were expressed only in patients, among them 19 were expressed only in FIGO I patients. Di erentially expressed miRNAs were ranked by the network-based analysis to assess their importance. Target genes of the di erentially 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, TGF , 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.
Tárgyszavak:Orvostudományok Klinikai orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
ovarian cancer
circulating miRNA
blood plasma
NanoString
network analysis
bimarker
Megjelenés:International Journal Of Molecular Sciences. - 20 : 18 (2019), p. E4533. -
További szerzők:Márton Éva (1992-) (biológus) Soltész Beáta (1987-) (molekuláris biológus) Szilágyi Melinda (1984-) (biológus) Póka Róbert (1960-) (szülész-nőgyógyász, klinikai onkológus) Lukács János (1975-) (szülész-nőgyógyász, genetikus) Széles Lajos (1971-) (molekuláris biológus) Nagy Bálint (1956-) (molekuláris genetikus)
Internet cím:DOI
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