title: Circular RNA and gene expression profiles in gastric cancer based on microarray chip technology.
abstract: The aim of the present study was to screen gastric cancer (GC) tissue and adjacent tissue for differences in mRNA and circular (circRNA) expression, to analyze the differences in circRNA and mRNA expression, and to investigate the circRNA expression in gastric carcinoma and its mechanism. circRNA and mRNA differential expression profiles generated using Agilent microarray technology were analyzed in the GC tissues and adjacent tissues. qRT-PCR was used to verify the differential expression of circRNAs and mRNAs according to the interactions between circRNAs and miRNAs as well as the possible existence of miRNA and mRNA interactions. We found that: i) the circRNA expression profile revealed 1,285 significant differences in circRNA expression, with circRNA expression downregulated in 594 samples and upregulated in 691 samples via interactions with miRNAs. The qRT-PCR validation experiments showed that hsa_circRNA_400071, hsa_circRNA_000543 and hsa_circRNA_001959 expression was consistent with the microarray analysis results. ii) 29,112 genes were found in the GC tissues and adjacent tissues, including 5,460 differentially expressed genes. Among them, 2,390 differentially expressed genes were upregulated and 3,070 genes were downregulated. Gene Ontology (GO) analysis of the differentially expressed genes revealed these genes involved in biological process classification, cellular component classification and molecular function classification. Pathway analysis of the differentially expressed genes identified 83 significantly enriched genes, including 28 upregulated genes and 55 downregulated genes. iii) 69 differentially expressed circRNAs were found that might adsorb specific miRNAs to regulate the expression of their target gene mRNAs. The conclusions are: i) differentially expressed circRNAs had corresponding miRNA binding sites. These circRNAs regulated the expression of target genes through interactions with miRNAs and might become new molecular biomarkers for GC in the future. ii) Differentially expressed genes may be involved in the occurrence of GC via a variety of mechanisms. iii) CD44, CXXC5, MYH9, MALAT1 and other genes may have important implications for the occurrence and development of GC through the regulation, interaction, and mutual influence of circRNA-miRNA-mRNA via different mechanisms.
authors.affiliation: Nephrology Department of Guilin No. 181 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi 541004, P.R. China.
authors.forename: Weiguo
authors.initials: W
authors.lastname: Sui
authors.affiliation: College of Life Science of Guangxi Normal University, Guilin, Guangxi 541004, P.R. China.
authors.forename: Zhoufang
authors.initials: Z
authors.lastname: Shi
authors.affiliation: Nephrology Department of Guilin No. 181 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi 541004, P.R. China.
authors.forename: Wen
authors.initials: W
authors.lastname: Xue
authors.affiliation: Nephrology Department of Guilin No. 181 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi 541004, P.R. China.
authors.forename: Minglin
authors.initials: M
authors.lastname: Ou
authors.affiliation: Nephrology Department of Guilin No. 181 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi 541004, P.R. China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhu
authors.affiliation: Nephrology Department of Guilin No. 181 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi 541004, P.R. China.
authors.forename: Jiejing
authors.initials: J
authors.lastname: Chen
authors.affiliation: Nephrology Department of Guilin No. 181 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi 541004, P.R. China.
authors.forename: Hua
authors.initials: H
authors.lastname: Lin
authors.affiliation: Nephrology Department of Guilin No. 181 Hospital, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin, Guangxi 541004, P.R. China.
authors.forename: Fuhua
authors.initials: F
authors.lastname: Liu
authors.affiliation: Clinical Medical Research Center, The Second Clinical Medical, College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
authors.forename: Yong
authors.initials: Y
authors.lastname: Dai
mesh_terms: D000328:Adult; D000368:Aged; D014408:Biomarkers, Tumor / Q000235:genetics*; D016022:Case-Control Studies; D005753:Gastric Mucosa / Q000378:metabolism*; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D063990:Gene Ontology; D052138:Genes, Neoplasm / Q000235:genetics*; D006801:Humans; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis; D012313:RNA / Q000235:genetics*; D000079962:RNA, Circular; D012333:RNA, Messenger / Q000235:genetics; D060888:Real-Time Polymerase Chain Reaction; D020133:Reverse Transcriptase Polymerase Chain Reaction; D013270:Stomach / Q000473:pathology; D013274:Stomach Neoplasms / Q000235:genetics* / Q000473:pathology
chemical_list: D014408:Biomarkers, Tumor; D000079962:RNA, Circular; D012333:RNA, Messenger; D012313:RNA