Circular RNA Expression Profile and m6A Modification Analysis in Poorly Differentiated Adenocarcinoma of the Stomach
Chenjing Zhang, Jingya Wang, Xiaoge Geng, Jiangfeng Tu, Huiqin Gao, Lunan Li, Xiaolu Zhou, Hongguang Wu, Jiyong Jing, Wensheng Pan, Yiping Mou
Abstract
Aims: To profile and characterize the circular RNA (circRNA) expression pattern in poorly differentiated gastric adenocarcinoma (PDGA). Methods & materials: CircRNA expression profiles in PDGA and adjacent nontumor tissues were analyzed by microarray. Five randomly selected differentiated expressed circRNAs (DECs) were validated by real-time quantitative PCR. m6A qualification of the top 20 DECs was conducted by m6A-immunoprecipitation and real-time quantitative PCR. Results: A total of 65 DECs were found in PDGA compared with the control. Hsa_circRNA_0077837 had the largest area under the curve.Most DECs had m6A modifications, the trend of m6A modification alteration was mainly consistent with the circRNA expression level. Conclusion: Our study revealed a set of DECs and their m6A modification alterations, which may provide new insight for their potential function in PDGA.