Published online Jun 14, 2023. doi: 10.3748/wjg.v29.i22.3482
Peer-review started: April 16, 2023
First decision: April 28, 2023
Revised: May 4, 2023
Accepted: May 11, 2023
Article in press: May 11, 2023
Published online: June 14, 2023
Processing time: 51 Days and 11.8 Hours
Gastric cancer (GC) is a major health problem worldwide, especially in East Asian countries, and GC has a poor prognosis in most patients due to late detection. Therefore, accurate early detection of GC is one of the most urgent issues in its management.
A number of studies have demonstrated that circular RNAs (circRNAs) play an important role in GC progression, invasion, and metastasis. However, the utility of exosomal circRNAs for early detection of GC is largely unknown.
To analyze the expression levels of plasma exosomal circRNAs from GC patients in different clinical stages to identify a novel biomarker for early detection of GC.
Healthy donors (HDs) and GC patients diagnosed by pathology were recruited. Based on the results of whole-transcriptome RNA sequencing, the expression profiles of circRNAs were analyzed by bioinformatics methods and validated by droplet digital polymerase chain reaction. Then we compared the diagnostic efficiency of plasma exosomal circRNAs and standard serum biomarkers.
The expression levels of exosomal hsa_circ_0079439 were obviously higher in GC patients than in HDs (P < 0.0001). And the area under the curve value of exosomal hsa_circ_0079439 was obviously higher than those of carcinoembryonic antigen, carbohydrate antigen (CA)19-9, CA72-4, alpha-fetoprotein, and CA125 (0.8433 vs 0.5732, 0.5362, 0.5203, 0.5024, and 0.5352, respectively).
Plasma exosomal hsa_circ_0079439 is a prospective biomarker for the diagnosis of GC.
Multicenter studies with larger sample sizes are encouraged to obtain more accurate results for the early diagnosis of GC.