Using real-time polymerase chain reaction (Qrt-PCR) to quantify C-Flip gene expression

Abstract

Cancer prediction from gene expression data is an important and challenging area of research in the field of computational biology and bioinformatics, This study aimed to estimate the amount of messenger RNA in cancerous tissue samples and others from healthy tissue samples, and thus quantitatively measure the gene expression of C-FLIP protein in the tissue by investigating the number of transcripts, using qRT-PCR technology, with the purpose of using it in diagnosis and early detection of diseases. (Colon Cancer). According to the medical literature, a fold value of more than 1.5 corresponds to an increase in gene overexpression, while a fold value of less than 0.7 corresponds to a decrease in expression. The results of this study showed an increase in the gene expression of C-FLIP protein for a group of cancerous tissue samples, while it showed that the gene expression values of C-FLIP protein in healthy tissue samples fall within the range (0.7-1.5). This result can be considered as a predictive indicator that gives the opportunity to conduct future studies on a larger number of samples and compare the results with a study within blood samples for colorectal cancer patients.