Dataset Information

Identification of novel methylated targets in colorectal cancer by microarray analysis and construction of co-expression network.

ABSTRACT: The present study was conducted to investigate novel methylated targets in colorectal cancer (CRC). The mRNA expression profiles of GSE32323 in 17 cancer and non-cancerous tissues from CRC patients, as well as expression profiles of 5 CRC cell lines prior and subsequent to 5-aza-2'-deoxycytidine (5-aza-dC) treatment, were obtained from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) in 5 CRC cell lines prior and subsequent to 5-aza-dC treatment were combined with the CRC-specific gene expression profiling array data. Context likelihood of relatedness algorithm was used to construct the co-expression network of CRC-specific gene expression profile. A sub-network of identified reverse-overlapped DEGs was selected and underwent Kyoto Encyclopedia of Genes and Genomes Pathway Analysis. A total of 6 reverse-overlapped DEGs were identified. This present study verified fibulin 2 (FBLN2) and protein phosphatase 1 regulatory inhibitor subunit 14A (PPP1R14A) to be downregulated in the CRC tissue sample but upregulated in CRC cell lines following 5-aza-dC treatment. The identified reverse-overlapped DEGs were enriched in tumor-associated signaling pathways, including cellular tumor antigen p53, cell cycle and NOD-like receptor (NLR) signaling pathway. A total of 2 silenced genes with abnormal methylation in CRC were identified, including FBLN2 and PPP1R14A. The reverse-overlapped DEGs were enriched in p53, cell cycle and NLR signaling pathways, indicating that reverse-overlapped DEGs, particularly FBLN2 and PPP1R14A, may be important tumor suppressors and that these reverse-overlapped DEGs are inactivated by methylation in CRC.

SUBMITTER: Li D

PROVIDER: S-EPMC5588160 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

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Identification of novel methylated targets in colorectal cancer by microarray analysis and construction of co-expression network.

Li Dongsheng D Guo Jialin J Wang Song S Zhu Liangchen L Shen Zugang Z

Oncology letters 20170630 3

The present study was conducted to investigate novel methylated targets in colorectal cancer (CRC). The mRNA expression profiles of GSE32323 in 17 cancer and non-cancerous tissues from CRC patients, as well as expression profiles of 5 CRC cell lines prior and subsequent to 5-aza-2'-deoxycytidine (5-aza-dC) treatment, were obtained from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) in 5 CRC cell lines prior and subsequent to 5-aza-dC treatment were combined with ...[more]

PMID: 28928808

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Project description:BackgroundAge-related macular degeneration (AMD) is the leading cause of blindness for people over 50 years old worldwide. The purpose of this study was to identify differentially expressed and methylated genes (DEMGs) and construct a co-expression network for AMD.MethodsMicroarray expression (GSE29801 dataset) and DNA methylation (GSE102952 dataset) profiles were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) and differentially methylated genes (DMGs) were analyzed between AMD retina tissues and normal retina tissues. A protein-protein interaction (PPI) network was constructed and hub genes were screened, followed by functional enrichment analysis. Then, weighted gene co-expression network analysis (WGCNA) was conducted. The ARPE-19 cells were maintained in a hypoxic state to construct an AMD cellular model. Enzyme-linked immunosorbent assay (ELISA) and the real-time qPCR (RT-qPCR) were performed for validation.ResultsAfter overlapping, 16 hypermethylated and down-regulated genes and 15 hypomethylated and up-regulated genes were identified for extramacular AMD. A total of 4 hub genes (LMNB2, EMD, HLA-A, and HLA-B) were screened for AMD in the extramacular retina. Furthermore, 13 hypermethylated and down-regulated genes and 31 hypomethylated and up-regulated genes were identified for macular AMD. Among them, 11 hub genes (HLA-A, HLA-B, HLA-DRB1, IFITM3, SAT1, MAOB, CHRDL1, FSTL1, HSPA1A, AR, and YAP1) were considered hub genes. The DEMGs were distinctly related with immune-related biological processes and pathways. A total of 16 co-expression modules were constructed, of which 2 significantly correlated with AMD. The genes in the 2 modules were involved in various crucial signaling pathways. The HIF1α and VEGF levels were significantly up-regulated in cell supernatant of hypoxia-induced ARPE-19 cells, indicating that the AMD cellular model was successfully established. Hub genes including CHRDL, FSTL1, and IFITM3 displayed significantly higher expression in hypoxia-induced ARPE-19 cells compared to normal cells. Greater up-regulation of CHRDL, FSTL1, and IFITM3 expression was found in hypoxia-induced ARPE-19 cells than in normal cells.ConclusionsThese findings offered several key DEMGs and pathways for AMD and constructed AMD-related co-expression modules, deepening understanding of the pathogenesis of AMD.

Project description:BackgroundGlobally, the incidence and mortality of colorectal cancer (CRC) rank amongst the highest of all malignancies. Thus, research aimed at developing new screening strategies and biomarkers for the early detection of CRC is needed. At present, conventional screening methods have limitations; therefore, new testing strategies have been considered. Using metabolomics to explore the molecular changes in CRC tissue is a mainstream method for identifying potential biomarkers and key cancer factors.MethodsIn the present study, 27 samples from nine CRC patients were used to analyze the metabolite differences between the tumor, paracancerous, and normal tissues. The metabolite differences in the various stages of CRC (stages IIA, IIB, and IIIC) were analyzed as well. Subsequently, principal component analysis (PCA), permutation, and trend analyses were performed. Weighted gene co-expression and metabolite-metabolite interaction networks were also constructed.ResultsA total of 5,834 metabolites were identified among the included samples. Permutation analysis showed a clear separation between the different tissues and different stages. Compared with normal tissues, tumor tissues exhibited 11, 233, and 25 up-regulated metabolites as well as one, 77, and zero down-regulated metabolites in stages IIA, IIB, and IIIC, respectively. Moreover, tumor tissues in stage IIB exhibited more differential metabolites (233 up-regulated and 77 down-regulated). Weighted Gene Correlation Network Analysis (WGCNA) clustered the 5,834 metabolites into 15 different modules, of which four modules were significantly correlated with tissue specificity. Notably, glycerophospholipid metabolism, fatty acid metabolism, and other pathways were enriched in these modules.ConclusionsFatty acids and glycerophospholipids were significantly related to the development of CRC. This result is of great significance for future targeted screening of CRC biomarkers and further clarifying the nutrient metabolism of cancer cells.

Dataset Information

Identification of novel methylated targets in colorectal cancer by microarray analysis and construction of co-expression network.

Publications

Identification of novel methylated targets in colorectal cancer by microarray analysis and construction of co-expression network.

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