Identification of novel methylated targets in colorectal cancer by microarray analysis and construction of co-expression network
نویسندگان
چکیده
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.
منابع مشابه
Identification of Prognostic Genes in Her2-enriched Breast Cancer by Gene Co-Expression Net-work Analysis
Introduction: HER2-enriched subtype of breast cancer has a worse prognosis than luminal subtypes. Recently, the discovery of targeted therapies in other groups of breast cancer has increased patient survival. The aim of this study was to identify genes that affect the overall survival of this group of patients based on a systems biology approach. Methods: Gene expression data and clinical infor...
متن کاملIn silico identification of miRNAs and their target genes and analysis of gene co-expression network in saffron (Crocus sativus L.) stigma
As an aromatic and colorful plant of substantive taste, saffron (Crocus sativus L.) owes such properties of matter to growing class of the secondary metabolites derived from the carotenoids, apocarotenoids. Regarding the critical role of microRNAs in secondary metabolic synthesis and the limited number of identified miRNAs in C. sativus, on the other hand, one may see the point how the characte...
متن کاملBioinformatics identification of miRNA-mRNA regulatory network contributing to lung cancer invasion
Background: Over the past 15 years, significant insights have been gained into the roles of miRNAs in cancer. In various cancers, miRNAs can act as oncogenes, tumor suppressors, or control the metastasis process by modulating the expression of numerous target genes. This study is aimed at determining molecular network of miRNA-mRNA regulating lung cancer invasion, by bioinformatics approaches. ...
متن کاملIdentification of miR-24 and miR-137 as novel candidate multiple sclerosis miRNA biomarkers using multi-staged data analysis protocol
Many studies have investigated misregulation of miRNAs relevant to multiple sclerosis (MS) pathogenesis. Abnormal miRNAs can be used both as candidate biomarker for MS diagnosis and understanding the disease miRNA-mRNA regulatory network. In this comprehensive study, misregulated miRNAs related to MS were collected from existing literature, databases and via in silico prediction. A multi-staged...
متن کاملBioinformatics Identification of miRNA-mRNA Regulatory Network Contributing Primary Lung Cancer
Introduction: In clinical practice, distinguishing invasive lung tumors from primary tumors remains a challenge. With recent advances in understanding biological alterations of tumorigenesis and molecular analytic technologies, using these molecular alterations can be sensitive and tumor-specific as biomarker for the stratification of patients. In this study, the molecular network of miRNA-mRNA...
متن کامل