Author/Authors :
Que, Feng Department of Colorectal Surgery - Affiliated Hospital of Integrated Traditional Chinese and Western Medicine - Nanjing University of Chinese Medicine - Nanjing - Jiangsu, China , Wang, Hua Department of Colorectal Surgery - Affiliated Hospital of Integrated Traditional Chinese and Western Medicine - Nanjing University of Chinese Medicine - Nanjing - Jiangsu, China , Luo, Yi Department of Oncology - Affiliated Hospital of Integrated Traditional Chinese and Western Medicine - Nanjing University of Chinese Medicine - Nanjing - Jiangsu, China , Cui, Li Nanjing University of Chinese Medicine - Nanjing - Jiangsu, China , Wei, Lanfu Department of Gastroenterology - Affiliated Hospital of Integrated Traditional Chinese and Western Medicine - Nanjing University of Chinese Medicine - Nanjing - Jiangsu, China , Xi, Zhaohong Department of Gastroenterology - Affiliated Hospital of Integrated Traditional Chinese and Western Medicine - Nanjing University of Chinese Medicine - Nanjing - Jiangsu, China , Lin, Qiu Department of Colorectal Surgery - Affiliated Hospital of Integrated Traditional Chinese and Western Medicine - Nanjing University of Chinese Medicine - Nanjing - Jiangsu, China , Ge, Yongsheng Department of Colorectal Surgery - Affiliated Hospital of Integrated Traditional Chinese and Western Medicine - Nanjing University of Chinese Medicine - Nanjing - Jiangsu, China , Wang, Wei Department of Colorectal Surgery - Affiliated Hospital of Integrated Traditional Chinese and Western Medicine - Nanjing University of Chinese Medicine - Nanjing - Jiangsu, China
Abstract :
The morbidity and mortality of colorectal cancer (CRC) remained to be very high worldwide. Recently, circRNAs had been revealed
to have a crucial role in cancer prognosis and progression. Numerous researches have shown that RNA sequencing technology and
in silico method were widely used to identify pathogenic mechanisms and uncover promising targets for diagnosis and therapy. In
this study, these methods were analyzed to obtain differentially expressed circRNAs (DECs). We identified upregulated 316
circRNAs and reduced 76 circRNAs in CRC samples, in comparison with those in normal tissues. In addition, a competitive
endogenous network of circRNA-miRNA-mRNA was established to predict the mechanisms of circRNAs. Bioinformatics
analysis revealed that these circRNAs participated in metabolism regulation and cell cycle progression. Of note, we observed the
hub genes and miRNAs in this ceRNA network were associated with the survival time in CRC. We think this study could
provide potential prognostic biomarkers and targets for CRC.
Keywords :
ceRNA , circRNAs , CRC , Colorectal
