MicroRNAs expression profiling in Egyptian colorectal cancer patients. Issue 2 (12th September 2019)

• Record Type: Journal Article
• Authors: Bader El Din, Noha G.; Ibrahim, Marwa K.; El‐Shenawy, Reem; Salum, Ghada M.; Farouk, Sally; Zayed, Naglaa; Khairy, Ahmed; El Awady, Mostafa
• Is Part Of: IUBMB life. Volume 72:Issue 2(2020)
• Page Start: 275
• Page End: 284
• Publication Date: 2019-09-12
• Subjects: biomarkers -- colorectal cancer -- differential gene expression -- miRNAs -- PCR array; Biochemistry -- Periodicals; Molecular biology -- Periodicals; 572.8
• DOI: 10.1002/iub.2164
• Languages: English
• ISSNs: 1521-6543

Abstract

Abstract: Egypt has increased incidence and high rate of early onset colorectal cancer (CRC). This study aimed to profile the expression levels of 84 circulating microRNAs (miRNAs) in Egyptian CRC patients and to evaluate the diagnostic accuracy of some selected miRNAs as diagnostic biomarkers for CRC patients. A total of 129 subjects (84 CRC patients and 45 healthy controls) were enrolled in two independent sample sets: the screening set (39 subjects) and the validation set (90 subjects). The expression profiles of 84 miRNAs were studied by miRNA PCR array in the screening set. Then four miRNAs (let‐7c, 21, 26a, 146a) were selected to be studied by quantitative real‐time PCR in the validation set. The PCR array results revealed significant up regulation of 20 miRNAs and downregulation of two miRNAs in CRC patients compared to the healthy subjects. Moreover, the expression levels of the four selected miRNAs were significantly higher in CRC serum samples than controls. The ROC analysis revealed that miRNAs (let‐7c, 21, 26a and 146a) can effectively discriminate between CRC patients and the controls. The combination of the four miRNAs showed AUC of 0.950 (95% CI [0.898–1.002], p = .001). However, the combination of miR‐21 and miR‐26a showed the best diagnostic accuracy with AUC of 0.953 (95% CI [0.908–0.999], p = .001). The current data suggest that miRNAs (let‐7c, 21, 26a, 146a) could play an important role in CRC development and they can be used as diagnostic biomarkers for CRC.