LỰA CHỌN NHÓM MICRORNA TIỀM NĂNG TRONG CHẨN ĐOÁN UNG THƯ DẠ DÀY TỪ NHỮNG CƠ SỞ DỮ LIỆU HIỆN CÓ

Abstract

Background: Gastric cancer (GC) ranks as the 4th most common cancer in terms of incidence and the 3rd leading cause of cancer-related mortality in Vietnam. MicroRNAs (miRNAs) are involved in various cellular processes, including proliferation, differentiation, and apoptosis, and play a critical role in the pathogenesis of GC. Due to their high blood stability, non-invasive diagnosis of GC using circulating miRNAs is a promising approach. Methods: miRNA nomenclature, sequence annotation, and target information were retrieved from available database platforms such as miRBase, mirTarbase, miRCancer, and KEGG. Using bioinformatics tools TargetScan and miRDB, collected miRNA databases were analyzed to cluster and predict miRNAs closely associated with GC. Results: A total of 449 miRNAs were extracted from miRBase, mirTarbase, and miRCancer, while 302 miRNAs related to GC were obtained from the KEGG database. After analyzing the two datasets, eight miRNAs (including hsa-miR-144-3p, hsa-miR-424-5p, hsa-miR-34a-5p, hsa-let-7f-5p, hsa-7a-5p, hsa-miR-421, hsa-miR-196b-5p, and hsa-miR-193a-3p) passed the selection analysis in TargetScan and a CWCS score > -0.4 in the miRDB bioinformatics tool, indicating a strong association with GC. Conclusion: Following analysis with TargetScan and miRBase, several potential miRNAs were identified that could be utilized for designing studies to evaluate their diagnostic value in supporting GC diagnosis.