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Cancer Cell International

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Open Access 01-12-2016 | Primary research

Time course analysis based on gene expression profile and identification of target molecules for colorectal cancer

Authors: Guoting Chen, Ning Han, Guofeng Li, Xin Li, Guang Li, Zengchun Li, Qinchuan Li

Published in: Cancer Cell International | Issue 1/2016

Abstract

Background

The study aimed to investigate the expression changes of genes in colorectal cancer (CRC) and screen the potential molecular targets.

Methods

The GSE37178 of mRNA expression profile including the CRC samples extracted by surgical resection and the paired normal samples was downloaded from Gene Expression Omnibus database. The genes whose expressions were changed at four different time points were screened and clustered using Mfuzz package. Then DAVID was used to perform the functional and pathway enrichment analysis for genes in different clusters. The protein–protein interaction (PPI) networks were constructed for genes in the clusters according to the STRING database. Furthermore, the related-transcription factors (TFs) and microRNAs (miRNAs) were obtained based on the resources in databases and then were combined with the PPI networks in each cluster to construct the integrated network containing genes, TFs and miRNAs.

Results

As a result, 314 genes were clustered into four groups. Genes in cluster 1 and cluster 2 showed a decreasing trend, while genes in cluster 3 and cluster 4 presented an increasing trend. Then 18 TFs (e.g., TCF4, MEF2C and FOS) and 18 miRNAs (e.g., miR-382, miR-217, miR-1184, miR-326 and miR-330-5p) were identified and three integrated networks for cluster 1, 3, and 4 were constructed.

Conclusions

The results implied that expression of PITX2, VSNL1, TCF4, MEF2C and FOS are time-related and associated with CRC development, accompanied by several miRNAs including miR-382, miR-217, miR-21, miR-1184, miR-326 and miR-330-5p. All of them might be used as potential diagnostic or therapeutic target molecules for CRC.

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Title: Time course analysis based on gene expression profile and identification of target molecules for colorectal cancer
Authors: Guoting Chen
Ning Han
Guofeng Li
Xin Li
Guang Li
Zengchun Li
Qinchuan Li
Publication date: 01-12-2016
Publisher: BioMed Central
Published in: Cancer Cell International / Issue 1/2016
Electronic ISSN: 1475-2867
DOI: https://doi.org/10.1186/s12935-016-0296-3

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Abstract

Background

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