عنوان مقاله [English]
Glioblastoma is one of the most malignant cancers worldwide, which due to the difficulty of early diagnosis, most affected people die within a year after diagnosis. Non-coding RNAs are a group of RNAs acting as post-transcriptional regulators and can play an essential role in cancer diagnosis. This study was aimed at investigating the expression level of miR-1193 in glioblastoma multiform and normal tissue samples and their correlation with the grade, age, and sex parameters. In this study, the expression level of miR-1193 was quantified in 50 glioblastoma multiform tissues (at different stages of disease), and 50 normal ones using the Real-Time PCR technique. GraphPad Prism 8 software was used for statistical analysis. The results of this study revealed down-regulation of the miR-1193 glioblastoma multiform samples compared to normal ones. The expression of miR-1193 was not significantly correlated with grade, age, and sex parameters. Finally, increased expression of miR-1193 could play an essential role in glioblastoma multiform. Moreover, according to Roc curve analysis and determining the cut-off value for this biomarker, it was found that the off-cut value was equal to 5.141 for miR-1193, which can detect patients with specificity of 1 and sensitivity of 0.78. However, due to its relatively low sensitivity, more research should be conducted.