Search published articles

Showing 2 results for Tahmaseb

Zahra Eslami Samarin, Mohammad Tahmaseb, Abbas Ghaderi,
Volume 2, Issue 3 (12-2015)

Breast cancer is the most common cancer worldwide and is the second leading cause of death in women after lung cancer. Micro RNAs (miRNAs) are among endogenous factors which are involved in many types of cancers, including breast cancer. Single nucleotide polymorphism (SNP) in the miRNAs, might change their biological activities such as their effects on oncogenes and tumor suppressor genes. Therefore some of miRNA’s SNPs are associated with the risk of different types of cancer, including breast cancer. The aim of this study was to evaluate the correlation between SNP rs11614913 in mir196a2 and the risk of breast cancer. SNP rs11614913 in hsa-miR-196a2 analyzed in 100 breast cancer cases and 100 controls in women living in southern Iran. Polymorphism was identified by the PCR-RFLP method. The PCR product was digested with TaaI restriction enzyme which produced two bands with the length of 187bp and 196bp. The data from this case –control study were analyzed using odds ratios (ORs) with 95% confidence intervals (CIs) to reveal the associations of SNPs in miRNAs with breast cancer susceptibility. The C allele frequencies in patients and controls for miR-196a2 were 0.74 and 0.75, respectively. The genotype frequencies of TT, TC, and CC were 0.05, 0.42, and 0.53 for the patients and 0.06, 0.38, and 0.56 for the controls, respectively. Statistical analysis showed that the genetic frequencies for this SNP were in Hardy-Weinberg equilibrium (p>0.05). The results of this study indicated no significant association between SNP rs11614913 in mir196a2 and the risk of breast cancer. 

Parvin Pishva, Mohammad Tahmaseb, Abbass Ghaderi,
Volume 3, Issue 1 (6-2016)

Lung cancer is the most common cause of death worldwide and result in 1.4 million deaths per year. Lung cancer is the fifth most common cancer in Iran, with rates of 4.7 to 9.2 per 100 thousand populations. Despite the low incidence, survival is not promising. Identification of biological markers and their application in diagnosis of cancer could lead to early diagnosis and therefore longer survival rate in patients. In this study, we evaluated the association of SNP rs11614913 in mir-196a2 with risk of non-small cell lung cancer (NSCLC) in population of southern Iran. SNP rs11614913 in miR-196a2 was assayed in 95 lung cancer patients and 100 controls. Polymorphism was determined by RFLP-PCR. The PCR product was digested with TaaI (5’ ACN^GT) which generated two bands (187bp and 196bp) in TT, three bands (187bp, 196bp and 383bp) in TC and one bandn(383bp) in CC individuals. Analysis of electrophoretic pattern of digestion products revealed that the frequencies of C allele for SNP rs11614913 miR-196a2 were 0.695 in patients and 0.76 in controls. As a result, the genotype frequencies of TT, TC and CC were 0.074, 0.463 and 0.463 in patients and 0.06, 0.36 and 0.58 in controls. The statistical analysis indicates the presence of Hardy-Weinberg equilibrium between the two alleles of the gene in the population studied (p>0.05). Based on the results in this study, no significant association between SNP rs11614913 and susceptibility to NSCLC was found. However, male participants who possess TC/TT genotypes showed high risk for NSCLC compared to those possessed CC genotypes (recessive genetic model).

Page 1 from 1     

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2023 CC BY-NC 4.0 | Nova Biologica Reperta

Designed & Developed by : Yektaweb