title: Analysis of connection networks among miRNAs differentially expressed in early gastric cancer for disclosing some biological features of disease development.
abstract: This paper first identified differentially expressed miRNAs associated with early gastric cancer and then respectively constructed relevant connection networks among the identified differentially expressed miRNAs that corresponded to early gastric cancer and control tissues. Twenty-three differentially expressed miRNAs were identified, 18 of which were different with the related results on the same data, and they provide great discriminatory power between patients and controls. There are not only conserved unchangeable sub-networks but also different sub-networks between the two connection networks. From the consistency and differences between two connection networks, we disclosed several new biological features that promote early gastric cancer development. This study shows 23 miRNAs that are early gastric cancer-specific and are worthy to do further experimental studies. The revealed biological features for early gastric cancer will provide new insights into improved understanding of the molecular mechanisms of this disease.
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Boyu
authors.initials: B
authors.lastname: Li
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China. Electronic address: raonn@uestc.edu.cn.
authors.forename: Nini
authors.initials: N
authors.lastname: Rao
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Dingyu
authors.initials: D
authors.lastname: Liu
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Yang
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Dingyun
authors.initials: D
authors.lastname: Liu
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Li
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Hanming
authors.initials: H
authors.lastname: Liu
authors.affiliation: Digestive Endoscopic Center, West China Hospital, Sichuan University, Chengdu, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Gan
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Ding
authors.affiliation: School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Lin
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D008957:Models, Genetic; D013274:Stomach Neoplasms / Q000235:genetics* / Q000473:pathology*
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs
keywords: Biological features; Differentially expressed miRNAs; Early gastric cancer; Relevant connection network