Development of a two-circular RNA panel as potential prognostic biomarker for gastric cancer.

ABSTRACT:

Background

Circular RNAs (circRNAs) have attracted increasing attention in recent years for their potential application as disease biomarkers due to their high abundance and stability. In this study, we attempted to screen circRNAs that can be used to predict postoperative recurrence and survival in patients with gastric cancer (GC).

Methods

High-throughput RNA sequencing was used to identify differentially expressed circRNAs in GC patients with different prognoses. The expression level of circRNAs in the training set (n = 136) and validation set (n = 167) was detected by quantitative real-time PCR (qRT-PCR). Kaplan-Meier estimator, receiver operating characteristic (ROC) curve and cox regression analysis were used to evaluate the prognostic value of circRNAs on recurrence-f

SUBMITTER: Liu J 

PROVIDER: S-EPMC8487552 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature