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Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling
OBJECTIVE: Liver metastasis, which contributes substantially to high mortality, is the most common recurrent mode of colon carcinoma. Thus, it is necessary to identify genes implicated in metastatic colonization of the liver in colon carcinoma. METHODS: We compared mRNA profiling in 18 normal colon...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328509/ https://www.ncbi.nlm.nih.gov/pubmed/30700932 http://dx.doi.org/10.21147/j.issn.1000-9604.2018.06.08 |
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author | Liu, Jianling Wang, Dan Zhang, Chaoqi Zhang, Zhen Chen, Xinfeng Lian, Jingyao Liu, Jinbo Wang, Guixian Yuan, Weitang Sun, Zhenqiang Wang, Weijia Song, Mengjia Wang, Yaping Wu, Qian Cao, Ling Wang, Dong Zhang, Yi |
author_facet | Liu, Jianling Wang, Dan Zhang, Chaoqi Zhang, Zhen Chen, Xinfeng Lian, Jingyao Liu, Jinbo Wang, Guixian Yuan, Weitang Sun, Zhenqiang Wang, Weijia Song, Mengjia Wang, Yaping Wu, Qian Cao, Ling Wang, Dong Zhang, Yi |
author_sort | Liu, Jianling |
collection | PubMed |
description | OBJECTIVE: Liver metastasis, which contributes substantially to high mortality, is the most common recurrent mode of colon carcinoma. Thus, it is necessary to identify genes implicated in metastatic colonization of the liver in colon carcinoma. METHODS: We compared mRNA profiling in 18 normal colon mucosa (N), 20 primary tumors (T) and 19 liver metastases (M) samples from the dataset GSE49355 and GSE62321 of Gene Expression Omnibus (GEO) database. Gene ontology (GO) and pathways of the identified genes were analyzed. Co-expression network and protein-protein interaction (PPI) network were employed to identify the interaction relationship. Survival analyses based on The Cancer Genome Atlas (TCGA) database were used to further screening. Then, the candidate genes were validated by our data. RESULTS: We identified 22 specific genes related to liver metastasis and they were strongly associated with cell migration, adhesion, proliferation and immune response. Simultaneously, the results showed that C-X-C motif chemokine ligand 14 (CXCL14) might be a favorable prediction factor for survival of patients with colon carcinoma. Importantly, our validated data further suggested that lower CXCL14 represented poorer outcome and contributed to metastasis. Gene set enrichment analysis (GSEA) showed that CXCL14 was negatively related to the regulation of stem cell proliferation and epithelial to mesenchymal transition (EMT). CONCLUSIONS: CXCL14 was identified as a crucial anti-metastasis regulator of colon carcinoma for the first time, and might provide novel therapeutic strategies for colon carcinoma patients to improve prognosis and prevent metastasis. |
format | Online Article Text |
id | pubmed-6328509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-63285092019-01-30 Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling Liu, Jianling Wang, Dan Zhang, Chaoqi Zhang, Zhen Chen, Xinfeng Lian, Jingyao Liu, Jinbo Wang, Guixian Yuan, Weitang Sun, Zhenqiang Wang, Weijia Song, Mengjia Wang, Yaping Wu, Qian Cao, Ling Wang, Dong Zhang, Yi Chin J Cancer Res Original Article OBJECTIVE: Liver metastasis, which contributes substantially to high mortality, is the most common recurrent mode of colon carcinoma. Thus, it is necessary to identify genes implicated in metastatic colonization of the liver in colon carcinoma. METHODS: We compared mRNA profiling in 18 normal colon mucosa (N), 20 primary tumors (T) and 19 liver metastases (M) samples from the dataset GSE49355 and GSE62321 of Gene Expression Omnibus (GEO) database. Gene ontology (GO) and pathways of the identified genes were analyzed. Co-expression network and protein-protein interaction (PPI) network were employed to identify the interaction relationship. Survival analyses based on The Cancer Genome Atlas (TCGA) database were used to further screening. Then, the candidate genes were validated by our data. RESULTS: We identified 22 specific genes related to liver metastasis and they were strongly associated with cell migration, adhesion, proliferation and immune response. Simultaneously, the results showed that C-X-C motif chemokine ligand 14 (CXCL14) might be a favorable prediction factor for survival of patients with colon carcinoma. Importantly, our validated data further suggested that lower CXCL14 represented poorer outcome and contributed to metastasis. Gene set enrichment analysis (GSEA) showed that CXCL14 was negatively related to the regulation of stem cell proliferation and epithelial to mesenchymal transition (EMT). CONCLUSIONS: CXCL14 was identified as a crucial anti-metastasis regulator of colon carcinoma for the first time, and might provide novel therapeutic strategies for colon carcinoma patients to improve prognosis and prevent metastasis. AME Publishing Company 2018-12 /pmc/articles/PMC6328509/ /pubmed/30700932 http://dx.doi.org/10.21147/j.issn.1000-9604.2018.06.08 Text en Copyright © 2018 Chinese Journal of Cancer Research. All rights reserved. http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-Non Commercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Original Article Liu, Jianling Wang, Dan Zhang, Chaoqi Zhang, Zhen Chen, Xinfeng Lian, Jingyao Liu, Jinbo Wang, Guixian Yuan, Weitang Sun, Zhenqiang Wang, Weijia Song, Mengjia Wang, Yaping Wu, Qian Cao, Ling Wang, Dong Zhang, Yi Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling |
title | Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling |
title_full | Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling |
title_fullStr | Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling |
title_full_unstemmed | Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling |
title_short | Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling |
title_sort | identification of liver metastasis-associated genes in human colon carcinoma by mrna profiling |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328509/ https://www.ncbi.nlm.nih.gov/pubmed/30700932 http://dx.doi.org/10.21147/j.issn.1000-9604.2018.06.08 |
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