Dataset Information

Identification of metastasis-associated genes in colorectal cancer using metaDE and survival analysis.

ABSTRACT: The aim of the present study was to detect the candidate genes involved in the metastasis of colorectal cancer (CRC). Gene expression profiles of primary and metastatic CRC samples in the GSE14297 and GSE49355 datasets were downloaded from the Gene Expression Omnibus database. Subsequent to processing, Fishers exact test and the metaDE package in R language were applied to screen the differentially expressed genes (DEGs) between primary and metastatic CRC samples. In addition, function and pathway enrichment analysis was performed using online tools in the Database for Annotation, Visualization, and Integrated Discovery resource and common DEGs in GSE14297 and GSE49355 were identified. Their expression values in another dataset, GSE29621, were then collected in order to screen the genes with high standard deviations between primary and metastatic samples, which were considered as candidate metastasis-associated genes. Candidate genes were finally verified by performing survival analysis via the log-rank test. A total of 370 DEGs were screened in GSE14297 and GSE49355, and 77 common DEGs were identified. Upregulated DEGs were mainly enriched in the immune, energy metabolism and drug metabolism-associated functions. Downregulated DEGs were mainly enriched in cell adhesion-associated functions. A total of 12 genes, including the carbonic anhydrase II (CA2), carcinoembryonic antigen-related cell adhesion molecule 7 (CEACAM7), Fc fragment of immunoglobulin G binding protein (FCGBP), and placenta-specific 8 (PLAC8), were the candidate metastasis-associated genes, among which FCGBP expression significantly decreased the overall survival time of patients. The selected candidate metastasis-associated gene, FCGBP, may be used as a potential therapeutic target in patients with metastatic CRC.

SUBMITTER: Qi C

PROVIDER: S-EPMC4726934 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Identification of metastasis-associated genes in colorectal cancer using metaDE and survival analysis.

Qi Chong C Hong Liang L Cheng Zhijian Z Yin Qingzhang Q

Oncology letters 20151123 1

The aim of the present study was to detect the candidate genes involved in the metastasis of colorectal cancer (CRC). Gene expression profiles of primary and metastatic CRC samples in the GSE14297 and GSE49355 datasets were downloaded from the Gene Expression Omnibus database. Subsequent to processing, Fishers exact test and the metaDE package in R language were applied to screen the differentially expressed genes (DEGs) between primary and metastatic CRC samples. In addition, function and pathw ...[more]

PMID: 26870249

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Project description:Colorectal cancer (CRC) is a prevalent malignant tumour type arising from the colon and rectum. The present study aimed to explore the molecular mechanisms of the development and progression of CRC. Initially, differentially expressed genes (DEGs) between CRC tissues and corresponding non-cancerous tissues were obtained by analysing the GSE15781 microarray dataset. The Database for Annotation, Visualization and Integrated Discovery was then utilized for functional and pathway enrichment analysis of the DEGs. Subsequently, a protein-protein interaction (PPI) network was created using the Search Tool for the Retrieval of Interacting Genes and Proteins database and visualized by Cytoscape software. Furthermore, CytoNCA, a Cytoscape plugin, was used for centrality analysis of the PPI network to identify crucial genes. Finally, UALCAN was employed to validate the expression of the crucial genes and to estimate their effect on the survival of patients with colon cancer by Kaplan-Meier curves and log-rank tests. A total of 1,085 DEGs, including 496 upregulated and 589 downregulated genes, were screened out. The DEGs identified were enriched in various pathways, including 'metabolic pathway', 'cell cycle', 'DNA replication', 'nitrogen metabolism', 'p53 signalling' and 'fatty acid degradation'. PPI network analysis suggested that interleukin-6, MYC, NOTCH1, inhibin subunit βA (INHBA), CDK1, cyclin (CCN)B1 and CCNA2 were crucial genes, and their expression levels were markedly upregulated. Survival analysis suggested that upregulated INHBA significantly decreased the survival probability of patients with CRC. Conversely, upregulation of CCNB1 and CCNA2 expression levels were associated with increased survival probabalities. The identified DEGs, particularly the crucial genes, may enhance the current understanding of the genesis and progression of CRC, and certain genes, including INHBA, CCNB1 and CCNA2, may be candidate diagnostic and prognostic markers, as well as targets for the treatment of CRC.

Dataset Information

Identification of metastasis-associated genes in colorectal cancer using metaDE and survival analysis.

Publications

Identification of metastasis-associated genes in colorectal cancer using metaDE and survival analysis.

Similar Datasets

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