| Objective: Evaluate the changes of Lnc RNA/m RNA expression profiles in themicroarrays of early gastric cancer's tissue and normal tissue next tumor screen.screen out Lnc RNA and m RNA related to the occurrence and development of early gastric cancer through bioinformatics technology and explore their potential functions,and perform real-time fluorescence quantification and PCR verification for key Lnc RNAs which is screened PCR verification.Methods: 7 early gastric cancer patients' cancer tissues and adjacent non-cancerous normal tissues are collected from the First Hospital of Lanzhou University and Wuwei Cancer Hospital of Gansu Province.We extract RNA experimentally and analyze RNA through microarray to detect Lnc RNAs and m RNAs.R language software is used to screen for differential expression Lnc RNAs and m RNAs.MSigdb database is used for GSEA analysis.R language software is used for GO and KEGG analysis of differentially expressed genes.TANRIC database is used for survival analysis of differential Lnc RNAs.R language software is used to build Lnc RNA-m RNA co-expression network.STRING database is uesd to construct protein interaction network on co-expressed m RNAs and conduct signal pathway analysis.Real-time fluorescent quantitative PCR is used to verify the expression of PVT1 in gastric cancer cell linesResults: The gene chip showed that a total of 33,139 Lnc RNA transcripts and24,223 m RNA transcripts were obtained.The GO analysis of GSEA indicated that the m RNA gene sets are mainly enriched in the cell membrane,cell periphery,microtubule tissue center,ribosomes,etc.The KEGG pathway analysis of GSEA suggests that the m RNA gene sets are mainly enriched in the MAPK signaling pathway,PI3K-Akt signaling pathway,neurodegeneration and other pathways.Compared with adjacent non-cancerous normal tissues,there are 338 up-regulated and470 down-regulated Lnc RNAs and 491 up-regulated and 415 down-regulated m RNAs expressing in early gastric cancer tissues.GO analysis indicates that the biological functions that differentially expressed up-regulated genes' mainly concentrated in are cell cycle progression,cell mitosis,chromosome structure,etc.and down-regulated genes are mainly enriched in cytoskeleton protein binding,actin binding,muscle structure,etc.KEGG pathway analysis indicates that cell cycle,DNA replication,progesterone-mediated oocyte maturation etc.in which the up-regulated genes mainly concentrated,and down-regulated genes are mainly concentrated in gastric acid secretion,c AMP signaling pathway,hematopoiesis and other pathways.The survival analysis of TANRIC database indicates that the abnormal expression of AAC19181.2,AL589743.1,CTD-23148B22.3,PVT1,RP11-86H7.6,and RP11-874J12.4 in differentially expressed Lnc RNAs are significantly correlated with patients survival.The co-expression network shows that Lnc RNAs related to gastric cancer has a highly correlated co-expression relationship with a large number of differential m RNAs.We construct a protein interaction network for co-expressed m RNAs with the STRING database.KEGG pathway analysis shows that the co-expressed m RNAs are mainly enriched in the cell cycle,base mismatch repair,P53 signaling pathway,DNA replication,and progesterone-mediated maturation of oocytes.The results of real-time fluorescent quantitative PCR suggests that the expression of Lnc RNA PVT1 is higher in gastric cancer cell lines than normal gastric epithelial cells.In conclusion: Our study analyzed the differentially changed Lnc RNA-m RNA expression profile during the occurrence of early gastric cancer,and screened 6promising Lnc RNAs(AC19181.2,PVT1,RP11-86H7.6,RP11-874J12.4,AL589743.1,CTD-23148B22.3)through bioinformatics.These molecules had an important relationship with the prognosis of gastric cancer patients and had a co-expression relationship with 237 differentially expressed m RNAs.These molecules may play an important role in the occurrence and development of gastric cancer.. |
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