Application and significance of circRNA and high throughput sequencing in different metastatic pathways of gastric cancer

Abstract

In this study, we will explore the expression profile of circular RNA (cRNA) in gastric cancer tissues and plasma in order to evaluate its potential as a molecular marker for the detection of gastric cancer. Additionally, we will research the expression profile of cRNA in normal gastric tissue. Reverse transcription drop digital polymerase chain reaction (RT ddPCR), circRNA expression profiling, the prediction of circRNA-microRNA interactions, the design of a method for RT ddPCR, as well as the analysis of clinicopathological factors and survival outcomes are all included in the recommended approach. The results of the research indicate that some circRNAs have a distinct expression pattern in the plasma and tissues of patients with gastric cancer. In addition, a quantitative RT ddPCR approach was created, and the identification of certain circRNAs that are connected with clinicopathological factors and prognosis was accomplished. The results of this study provide significant new insights into the ability of circRNAs to function not only as diagnostic markers but also as independent prognostic factors for gastric cancer. In addition, a dye-based RT ddPCR method is shown to be an effective and economical technique for the detection of plasma circRNA.