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Circulating Long Non-coding RNAs ZFPM2-AS1 And XIST Are Potential Biomarkers For Gastric Cancer Diagnosis

Posted on:2021-01-16Degree:MasterType:Thesis
Country:ChinaCandidate:H LiangFull Text:PDF
GTID:2404330611491774Subject:Clinical laboratory diagnostics
Abstract/Summary:PDF Full Text Request
Background: LncRNAs(Long non-coding RNAs)are found disease-related,especially in tumorigenesis including gastric cancer(GC).Substantial evidence has showed that lncRNAs are ideal biomarkers for GC diagnosis.Although lncRNAs in gastric cancer tissues have been extensively studied in previous research,the potential non-invasive diagnostic value of circulating lncRNAs in gastric cancer remains unclear.Methods: In this study,10 kinds of lncRNAs(HOTTIP,PANDAR,SMARCC2,D63785,GapLinc,SNHG8,TP73-AS1,HNF1A-AS1,ZFPM2-AS1 and XIST)highly expressed in GC tissues were investigated as potential biomarkers in plasma for gastric cancer,among which the up-regulated lncRNA ZFPM2-AS1 and XIST were validated in 100 gastric cancer patients,20 gastric cancer patients in early stage,90 healthy controls and20 matching preoperative and postoperative specimens in further study.We analyzed the potential correlation between ZFPM2-AS1 and XIST expression levels with the general characteristics and clinicopathological features.The ROC(receiver operating characteristic)curve was also conducted to evaluate the diagnostic performance.Results: Our results showed that the expression levels of ZFPM2-AS1 and XIST compared with healthy controls were markedly higher in gastric cancer plasma(P<0.01),and the expression levels of postoperative lncRNA XIST had a tendency of downregulation compared with preoperative levels(P<0.05).Moreover,the area under the ROC curve(AUC)was 0.62 and 0.68 for ZFPM2-AS1 and XIST respectively,the combined area of the two lncRNAs and CA-724 was 0.751.Conclusion: Circulating lncRNAs ZFPM2-AS1 and XIST are potential plasma biomarkers for gastric cancer diagnosis.
Keywords/Search Tags:gastric cancer, long non-coding RNA, ZFPM2-AS1, XIST, diagnosis, plasma, biomarker
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