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A putative molecular network associated with colon cancer metastasis constructed from microarray data
BACKGROUND: This study aimed to identify the potential molecular network associated with colon cancer metastasis. METHODS: A gene expression profile dataset (GSE40367) downloaded from Gene Expression Omnibus was used to identify and compare differentially expressed genes (DEGs) between primary colon...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477128/ https://www.ncbi.nlm.nih.gov/pubmed/28629469 http://dx.doi.org/10.1186/s12957-017-1181-9 |
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author | Chu, Songtao Wang, Haipeng Yu, Miao |
author_facet | Chu, Songtao Wang, Haipeng Yu, Miao |
author_sort | Chu, Songtao |
collection | PubMed |
description | BACKGROUND: This study aimed to identify the potential molecular network associated with colon cancer metastasis. METHODS: A gene expression profile dataset (GSE40367) downloaded from Gene Expression Omnibus was used to identify and compare differentially expressed genes (DEGs) between primary colon adenocarcinoma tissues and matched tissue samples of liver metastases of colon adenocarcinoma. After the functional analysis of the DEGs, their protein–protein interactions (PPIs) were analyzed, and the transcription factors (TFs) and microRNAs (miRNAs) that regulated these DEGs were predicted. The data were used to construct an integrated network of DEGs, TFs, and miRNAs. Finally, the GSE68468 dataset was used to validate the DEGs associated with liver metastasis of colon adenocarcinoma identified in the GSE40367 dataset. RESULTS: Compared with the primary colon adenocarcinoma sample, 262 DEGs were upregulated and 216 were downregulated in the liver metastasis sample. The DEGs were primarily involved in functions associated with cell junctions and cell adhesion. The DEGs included 17 genes encoding TFs, and 39 miRNAs that regulated DEGs were predicted. Further analysis of the DEGs led to the identification of 490 PPIs. The data were used to construct an integrated network consisting of DEGs, TFs, and miRNAs. DEGs with a high degree of connectivity in the network included FGF2, ERBB4, PTPRC, CXCR4, CCL2, and CCL4. The network also revealed that FGF2 interacted with ERBB4, PTPRC, and CXCR4 and that PTPRC interacted with CXCR4. Furthermore, LCP2 and APBB1IP were predicted to target several other DEGs, including PTPRC, and miR-30a-3p and miR-30e-3p were predicted to regulate ERBB4 and several other DEGs. Notably, FGF2, ERBB4, PTPRC, LCP2, CCL2, and CCL4 were also identified as DEGs in the GSE68468 dataset. CONCLUSION: The DEGs, TFs, and miRNAs identified in this study might play key roles in colon cancer metastasis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12957-017-1181-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5477128 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54771282017-06-22 A putative molecular network associated with colon cancer metastasis constructed from microarray data Chu, Songtao Wang, Haipeng Yu, Miao World J Surg Oncol Research BACKGROUND: This study aimed to identify the potential molecular network associated with colon cancer metastasis. METHODS: A gene expression profile dataset (GSE40367) downloaded from Gene Expression Omnibus was used to identify and compare differentially expressed genes (DEGs) between primary colon adenocarcinoma tissues and matched tissue samples of liver metastases of colon adenocarcinoma. After the functional analysis of the DEGs, their protein–protein interactions (PPIs) were analyzed, and the transcription factors (TFs) and microRNAs (miRNAs) that regulated these DEGs were predicted. The data were used to construct an integrated network of DEGs, TFs, and miRNAs. Finally, the GSE68468 dataset was used to validate the DEGs associated with liver metastasis of colon adenocarcinoma identified in the GSE40367 dataset. RESULTS: Compared with the primary colon adenocarcinoma sample, 262 DEGs were upregulated and 216 were downregulated in the liver metastasis sample. The DEGs were primarily involved in functions associated with cell junctions and cell adhesion. The DEGs included 17 genes encoding TFs, and 39 miRNAs that regulated DEGs were predicted. Further analysis of the DEGs led to the identification of 490 PPIs. The data were used to construct an integrated network consisting of DEGs, TFs, and miRNAs. DEGs with a high degree of connectivity in the network included FGF2, ERBB4, PTPRC, CXCR4, CCL2, and CCL4. The network also revealed that FGF2 interacted with ERBB4, PTPRC, and CXCR4 and that PTPRC interacted with CXCR4. Furthermore, LCP2 and APBB1IP were predicted to target several other DEGs, including PTPRC, and miR-30a-3p and miR-30e-3p were predicted to regulate ERBB4 and several other DEGs. Notably, FGF2, ERBB4, PTPRC, LCP2, CCL2, and CCL4 were also identified as DEGs in the GSE68468 dataset. CONCLUSION: The DEGs, TFs, and miRNAs identified in this study might play key roles in colon cancer metastasis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12957-017-1181-9) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-19 /pmc/articles/PMC5477128/ /pubmed/28629469 http://dx.doi.org/10.1186/s12957-017-1181-9 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Chu, Songtao Wang, Haipeng Yu, Miao A putative molecular network associated with colon cancer metastasis constructed from microarray data |
title | A putative molecular network associated with colon cancer metastasis constructed from microarray data |
title_full | A putative molecular network associated with colon cancer metastasis constructed from microarray data |
title_fullStr | A putative molecular network associated with colon cancer metastasis constructed from microarray data |
title_full_unstemmed | A putative molecular network associated with colon cancer metastasis constructed from microarray data |
title_short | A putative molecular network associated with colon cancer metastasis constructed from microarray data |
title_sort | putative molecular network associated with colon cancer metastasis constructed from microarray data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5477128/ https://www.ncbi.nlm.nih.gov/pubmed/28629469 http://dx.doi.org/10.1186/s12957-017-1181-9 |
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