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.
Acknowledgments
The authors would like to thank Biobank at the Clinical Research Institute of Zhejiang Provincial People’s Hospital, for providing with gastric cancer tissue samples and Genesky Biotechnologies Inc., Shanghai, 201315, for their kind help in circRNA microarray analysis.
Financial & competing interests disclosure
This work was supported by the Zhejiang medicine key scientific and technology project (no. 2018258924), the Zhejiang medicine scientific and technology project (no.2019RC094, no.2016kyB333 and no.2018ZH053) and Natural Science foundation of Zhejiang province (LQ20H160062). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.
Writing assistance was utilized in the production of this manuscript.
Ethical conduct of research
This work was approved by the Research Ethics Committee of Zhejiang Provincial People’s Hospital, Hangzhou Medical College (code: 2020QT084).