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Co-expression profiling of plasma miRNAs and long noncoding RNAs in gastric cancer patients

Author:
Ghaedi, Hamid, Mozaffari, Mohammad Amin Nazer, Salehi, Zaker, Ghasemi, Hassan, Zadian, Seyed Sajjad, Alipoor, Sadegh, Hadianpour, Shiva, Alipoor, Behnam
Source:
Gene 2019 v.687 pp. 135-142
ISSN:
0378-1119
Subject:
case-control studies, microRNA, non-coding RNA, pathogenesis, patients, quantitative polymerase chain reaction, stomach neoplasms
Abstract:
The recent researches indicate that differential non-coding RNAs expression signatures could be associated with the pathogenesis of gastric cancer (GC). However, there are few studies focused on lncRNA-miRNAs co-expression profiling in GC patients. Therefore, in the present study the expression of H19 and MEG3 and their related miRNAs including miR-148a-3p, miR-181a-5p, miR-675-5p and miR-141-3p were determined in the plasma samples of GC patients and controls.This case-control study included 62 GC patients and 40 age- sex matched controls. The non-coding RNA levels were assessed by real-time PCR. Further, using in silico analysis, we identified shared targets of studied miRNAs and performed GC-associated pathway enrichment analysis.Our results showed that the H19 level was significantly (P = 0.008) elevated and MEG3 expression was significantly (P = 0.002) down-regulated in GC patients compared to healthy participants. Furthermore, it was revealed that the miR-675-5p level was increased, while miR-141-3p plasma levels were significantly reduced in GC patients (P < 0.05). We did not observe a significant difference for miR-148a-3p (P = 0.682) and miR-181a-5p (P = 0.098) expression between groups. In addition, the expression levels of H19, MEG3 and miR-148a-3p were associated with some clinicopathological features of patients (P < 0.05). ROC analysis revealed that a combination of H19, MEG3 and miR-675-5p levels able to discriminate controls and GC subjects with 88.87% sensitivity and 85% specificity (AUC, 0.927; 0.85–0.96 CI, P < 0.0001).The results of current study demonstrated that combination of H19, MEG3 and miR-675-5p expression levels could provide a potential diagnostic panel for GC.
Agid:
6228720