Expression profiles of circular RNAs in human colorectal cancer based on RNA deep sequencing. Issue 7 (6th June 2019)

• Record Type: Journal Article
• Authors: Ge, Jiaxin; Jin, Yanping; Lv, Xueyou; Liao, Qi; Luo, Cong; Ye, Guoliang; Zhang, Xinjun
• Is Part Of: Journal of clinical laboratory analysis. Volume 33:Issue 7(2019)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2019-06-06
• Subjects: circular RNA -- colorectal cancer -- hsa_circ_0142527 -- KLF4 -- RNA deep sequencing; Diagnosis, Laboratory -- Periodicals; Medical laboratory technology -- Periodicals; 616
• DOI: 10.1002/jcla.22952
• Languages: English
• ISSNs: 0887-8013

Abstract

Abstract: Background: Circular RNAs (circRNAs) are a novel group of RNAs and play essential roles in cancers. However, the expression profiles of circRNAs in human colorectal cancer (CRC) are largely unclear. Methods: The differentially expressed circRNAs, mRNAs, and microRNAs (miRNAs) between CRC tissues and paired adjacent normal tissues were first screened. Then, gene ontology and pathway analyses were performed to predict the possible functions. In addition, we identified the differentially expressed circRNAs in CRC correlated with Krüppel‐like factor 4 (KLF4) and validated their expression levels in CRC tissues. Finally, the correlations between hsa_circ_0142527 expression levels and clinicopathological features of patients with CRC were also analyzed. Results: After filtered 4735 circRNAs by RNA deep sequencing, 67 differentially expressed circRNAs (fold change >2.0, P < 0.05) were selected. The top two pathways were cell cycle and other glycan degradation. Hsa_circ_0142527 and KLF4 mRNA were significantly lower expressed in CRC tissues in both training and confirm groups and have high positive correlation ( r = 0.754). We further found that the expression levels of hsa_circ_0142527 were significantly associated with age ( P = 0.004), differentiation ( P = 0.008), invasion ( P = 0.029), distal metastasis ( P = 0.004), TNM stage ( P = 0.005), and carcinoembryonic antigen (CEA; P = 0.037). Conclusions: The circRNA expression profile of CRC provided new clues for understanding the occurrence of CRC. Hsa_circ_0142527 may be served as a potential biomarker for the diagnosis of CRC.