Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling

被引:22
作者
Liu, Jianling [1 ,2 ]
Wang, Dan [1 ,2 ]
Zhang, Chaoqi [1 ,2 ]
Zhang, Zhen [1 ,2 ]
Chen, Xinfeng [1 ,2 ]
Lian, Jingyao [1 ,2 ]
Liu, Jinbo [4 ]
Wang, Guixian [4 ]
Yuan, Weitang [4 ]
Sun, Zhenqiang [4 ]
Wang, Weijia [1 ,2 ]
Song, Mengjia [1 ,2 ]
Wang, Yaping [5 ]
Wu, Qian [1 ,2 ]
Cao, Ling [1 ,2 ]
Wang, Dong [1 ,2 ]
Zhang, Yi [1 ,2 ,3 ]
机构
[1] Zhengzhou Univ, Affiliated Hosp 1, Biotherapy Ctr, Zhengzhou 450052, Henan, Peoples R China
[2] Zhengzhou Univ, Affiliated Hosp 1, Dept Oncol, Zhengzhou 450052, Henan, Peoples R China
[3] Zhengzhou Univ, Sch Life Sci, Zhengzhou 450001, Henan, Peoples R China
[4] Zhengzhou Univ, Dept Anorectal Surg, Affiliated Hosp 1, Zhengzhou 450052, Henan, Peoples R China
[5] Henan Key Lab Tumor Immunol & Biotherapy, Zhengzhou 450052, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
Colon carcinoma; liver metastasis; mRNA profiling; functions annotation; COLORECTAL-CANCER; EXPRESSION; CXCL14; SURVIVAL; CELLS; PROMOTES; GROWTH;
D O I
10.21147/j.issn.1000-9604.2018.06.08
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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.
引用
收藏
页码:633 / +
页数:38
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