42 research outputs found
Investigation of the molecular changes during chemotherapy in non-Hodgkin's lymphoma
In the present study the changes in the detection rate of bcl-2 and IgH gene rearrangements in relation to chemotherapy and therapeutic response in patients with diffuse large B-cell lymphoma have been investigated. Immunoglobulin gene rearrangements were detected in almost all patients during all stages of treatment
Bcl-2 gene rearrangements and apoptosis rates in patients with non-Hodgkin's lymphoma during chemotherapy
Objectives: Overexpression of the bcl-2 gene as a result of the t(14,18) translocation leads to neoplastic transformation by suppressing apoptosis. However, apoptotic cell death in response to chemotherapy has not been investigated. This study was planned with the aim to investigate the association between bcl-2 gene rearrangements and apoptotic changes during chemotherapy in patients with non-Hodgkin's lymphoma
Behcet's syndrome is not associated with vitiligo
Objective. Behcets syndrome (BS) has many features that are different front autoimmune diseases, including a lack of association with Sjogren's syndrome. Vitiligo is frequently associated with various autoimmune disorders such as autoimmune thyroiditis, pernicious anemia and Addisons disease. Our informal observation was that vitiligo is also uncommon among BS patients. With this controlled and masked study we formally surveyed the presence of vitiligo among BS patients and suitable controls
New biomarkers in peripheral blood of patients with ovarian cancer: high expression levels of miR-16-5p, miR-17-5p, and miR-638
Objectives Ovarian cancer is one of the most fatal gynecologic malignities. miR-16-5p, miR-17-5p, and miR-638 genes were found to have been associated with ovarian cancer in accordance with the data obtained from the previous microarray research performed by Tuncer et al. (J Ovarian Res 13(1):99, 2020). The expression levels of these miRNAs in the peripheral blood samples of 142 ovarian cancer patients, and 97 healthy controls were investigated for performing the validation, and to identify whether these genes were the possible biomarkers to be used in the early diagnosis of high-risk ovarian cancer patients, and in the prognosis of patients. Methods The miRNA expression analysis was performed using the miRNA-specific cDNA synthesis, and real-time PCR methods following the RNA isolation from the peripheral blood lymphocytes. Results miR-16-5p, miR-17-5p, and miR-638 miRNA gene expression levels were found to have twofold higher expression levels in patient groups compared with the gene expression levels in healthy controls, and were statistically significant (p < 0.05). In addition, the comparison of the miRNA expression levels with the clinical data of patients showed that there was a significant difference with smoking history and the increased expression level of miR-17-5 (p: 0.007). There was a significant difference between the increased expression level of miR-638 with the locally advanced stage, and abdominal/pelvic metastatic patients (p: 0.03). Conclusions The obtained data suggest that miR-16-5p, miR-17-5p, and miR-638 molecules might be the noninvasive biomarkers in identifying the ovarian cancer. However, the investigation and monitoring of the changeability of these biomarkers in benign ovarian diseases, and during the treatment must be performed in future studies for identifying the accurate diagnostic, and prognostic features of miRNAs