Original Article Identification of liver metastasis-associated genes in human colon carcinoma by mRNA profiling Jianling Liu1,2*, Dan Wang1,2*, Chaoqi Zhang1,2*, Zhen Zhang1,2, Xinfeng Chen1,2, Jingyao Lian1,2, Jinbo Liu4, Guixian Wang4, Weitang Yuan4, Zhenqiang Sun4, Weijia Wang1,2, Mengjia Song1,2, Yaping Wang5, Qian Wu1,2, Ling Cao1,2, Dong Wang1,2, Yi Zhang1,2,3 1Biotherapy Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; 2Department of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; 3School of Life Sciences, Zhengzhou University, Zhengzhou 450001, China; 4Department of Anorectal Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China; 5Henan Key Laboratory for Tumor Immunology and Biotherapy, Zhengzhou 450052, China *These authors contributed equally to this work. Correspondence to: Yi Zhang. Biotherapy Center, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China. Email:
[email protected]. Abstract 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.