Identification and Functional Characterization of Long Noncoding RNAs in Human Gastric Cancer

来源 :第十一届全国环境与职业医学研究生学术研讨会 | 被引量 : 0次 | 上传用户:YT479102771
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  [Background] Abnormal regulation of long noncoding RNAs (lncRNAs) seem to be a primary feature of many human cancers.However, the relationship between the dysregulation of lncRNAs and functional significance in gastric cancer (GC) remains unclear.In previous studies, we applied microarray and bioinformatics analysis to screen for key lncRNAs from tumor tissue of 10 GC patients and their matched adjacent non-tumor tissues.These prior results revealed that differential expression of lncRNAs show greater tissue specificity with GC, and we found that in seven lncRNAs expression was significantly differential in carcinoma than in adjacent non-tumor tissues.[Objective] In the present study, we have validated the expression of these seven selected lncRNAs in 82GC patients to further investigate the association between lnoRNAs and GC clinical characterization.[Results] qRT-PCR results demonstrate that RP5-919F19, CTD-2541M15 and UCA1 showed consistent upregulation compared with adjacent non-tumor tissues, while AP000459, LOC101928316, LINC01071 and MEG3 showed consistent downregulation.The results from the microarray and qRT qPCR experiments were 100% in agreement.Correlation analysis showed that RP5-919F19, LOC101928316 and MEG3 were significantly associated with tumor differentiation degree,RP5-919F19, UCA1 and MEG3 were significantly correlated with lymph node metastasis, and RP5-919F19, CTD-2541M15 and UCA1 were significantly correlated with tumor TNM stage (P<0.05).In addition, it was identified that the differential expression of LINC01071 and UCA1 significantly correlated with the age and gender of the GC patients, respectively (P<0.05).[Conclusion] Results suggest that the lncRNAs RP5-919F19, LOC101928316, CTD-2541M15, UCA1 and MEG3 were closely related with the invasion and metastasis of GC, which reveals these indicators as potential specificity biomarkers in the diagnosis, prognosis and classification of GC.Thus, these lncRNAs are worthwhile for further study as novel candidate biomarkers for the clinical diagnosis of GC and potential targets for therapy.
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