Tehran University Medical Journal

Background: Ovarian cancer is a leading metastatic disease. The epithelial ovarian cancer is one of the most common malignant cancers that usually remains asymptomatic up to metastasis stages, and most patient when diagnosed are in the advanced stage of the disease. Studies have shown that in the majority of epithelial cancers mesenchymal factor expression such as Vimentin increases, and the epithelial factor expression such as E-cadherin decreases, as a result, it causes an epithelial-mesenchymal transition (EMT). The aim of this study was to determine the expression level of these genes and association between EMT phenomenon and development of ovarian cancer based on clinical and morphological findings.
Methods: In the present case series study, 70 samples were chosen from the tumor Bank of Cancer Institute taken from patients at Imam Khomeini Hospital, Tehran, Iran. The amount of expression of two genes, E-cadherin and vimentin, was investigated by real-time PCR method from February 2016 to September 2017. The RNA extraction was done manually, and then cDNA synthesis was performed; In each sample the expression level of vimentin and E-cadherin was measured with real-time PCR method. The patient’s clinical information with other data were analyzed with nonparametric statistical methods in SPSS software, version 19 (SPSS Inc., Chicago, IL, USA).
Results: There was a significant relationship between expression of vimentin gene and the stage (P=0.026) of the disease and metastasis (P=0.009), There was no significant relationship between vimentin gene expression and tumor grade (P=0.207), age (P=0.11), tumor size (P=0.71) and family history (P=0.6). There was a significant correlation between E-cadherin gene expression and metastasis (P=0.027), no significant correlation was found between E-cadherin gene expression with tumor grade (P=0.690), stage (P=0.753), age (P=0.09), tumor size (P=0.537) and family history (P=0.56).
Conclusion: According to the changes in expression of vimentin and E-cadherin genes in ovarian tumor cells, and association between these two genes with clinical and morphological findings and the role of these genes in the migration and invasion, we can use the both genes, vimentin and E-cadherin, as genes involved in the EMT process to assess disease progression and incidence of cell invasion in ovarian cancer.

Background: Clear renal cell carcinoma (ccRCC) is the most common malignant kidney tumor and has a high mortality rate. The pathogenesis of this cancer is complex and efficient biomarkers for its diagnosis and prediction are limited. This study aimed to identify predictive genes in ccRCC through analysis and laboratory validation ccRCC is the most common malignant kidney tumor and has a high mortality rate.
Methods: The present study was a case-control study in which samples were taken from patients and healthy individuals from Labafi Nejad Hospital in Tehran between October 2012 and April 2014, and laboratory tests were performed on the samples.
First, genes with differential expression in ccRCC patients were identified by bioinformatics using gene expression profile data from the Gene Expression Omnibus (GEO) database with accession number GSE213324. Data analysis was performed using Galaxy web server, protein-protein interactions were checked using Cytoscape and STRING app software, and finally two genes were selected for real-time PCR testing.

Results: Analysis identified 4,065 genes with differential expression in RCC tissues compared to healthy tissues. These genes are involved in immune responses and renal disease pathways, suggesting their potential role in disease development. After constructing the protein-protein interaction network and identifying differentially expressed genes in kidney tissue and blood, two genes, MTTP and CALCA, were selected for further investigation. In the Mann-Whitney U test, the expression of the CALCA gene decreased significantly in the patient group (P<0.05). On the other hand, the MTTP gene showed a decrease in expression, but not significantly. The AUC calculated to evaluate the diagnostic accuracy for the CALCA gene was 0.64 and significant (P<0.05), demonstrating its potential as a useful biomarker for ccRCC diagnosis. However, the AUC for the MTTP gene was not significant. Conclusion: The reduction in CALCA expression could serve as a useful biomarker for diagnosing ccRCC.