Browsing by Author "Seymen, Nogayhan"

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    Analysis of Correlation between the Seven Important Helicobacter pylori (H. pylori) Virulence Factors and Drug Resistance in Patients with Gastritis
    (HINDAWI LTD, 2020-01-01) Oktem-Okullu, Sinem; Cekic-Kipritci, Zehra; Kilic, Elif; Seymen, Nogayhan; Mansur-Ozen, Nesteren; Sezerman, Ugur; Gurol, Yesim
    The aim of this study is to evaluate the association between seven importantH.pylorivirulence factors and antibiotic resistance in patients with gastritis.H.pyloristrains isolated from 33 patients with gastritis were examined. Antimicrobial susceptibilities were tested by GenoType (R) HelicoDR (Hain Life Science, Germany) test kit and RT-PCR. The virulence-factors were determined using conventional PCR. 39\% of patients were resistant for clarithromycin and 27\% of patients were resistant for fluoroquinolone. 15\% of patients were resistant to both clarithromycin and fluoroquinolone. TheH.pylori vacA m1/s2genotype was the most frequent allelic combination. Patients were possessed thevacA s1,m1(6.1\%)
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    The importance of dysregulated miRNAs on ovarian cysts and epithelial ovarian cancer
    (IMR PRESS, 2021-01-01) Gumusoglu, Ece; Gunel, Tuba; Hosseini, Mohammad Kazem; Seymen, Nogayhan; Senol, Taylan; Sezerman, Ugur; Topuz, Samet; Aydinli, Kilic
    Objective: Benign ovarian cysts (BOC) are the most common tumors in women of reproductive age. Usually, these cysts are harmless, but, a small number of them occasionally progress to malignancy. Among ovarian malignancies, epithelial ovarian cancer (EOC) comprises 90\% and is the most important cause of gynecologic cancerrelated deaths. We aimed to identify dysregulated miRNAs in patients with benign ovarian cysts (n = 11) compared to EOC (n = 10) and to healthy individuals (HI) (n = 15). Methods: The serum samples from EOC and BOC patients were collected before operation. We studied three different sample groups (serum of EOC (n = 8), HI (n = 8), and BOC (n = 8) patients) that contained the highest-quality of RNA. Microarray data were analyzed according to expression of miRNAs and target genes by bioinformatics tools. Results: When compared to EOC samples, 75 miRNAs were dysregulated in BOC samples. Sixty-six miRNAs from BOC were dysregulated when compared to HI samples. Bioinformatics analysis of BOC vs. EOC and BOC vs. HI showed that 46 miRNAs were congruent and their expression alterations were similar (up- or down-regulated). Further analysis showed that these 46 miRNAs are associated to one of three pathways involved in cancer pathogenesis. Conclusion: Several miRNAs might playa role in BOC formation and/or malignant transformation. These dysregulated miRNAs could potentially be a biomarker to distinguish between a completely BOC and one that is malignant or has potential for malignant transformation.