Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Kong, Junjie | Shen, Shu | Zhang, Zifei | Wang, Wentao*
Affiliations: Department of Liver Surgery and Liver Transplantation Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China
Correspondence: [*] Corresponding author: Wentao Wang, Department of Liver Surgery, West China Hospital, Chengdu, Sichuan 610041, China. Tel.: +86 189 806 018 95; Fax: +86 28 854 228 71; E-mail: wwtdoctor02@163.com.
Abstract: BACKGROUND: Cholangiocarcinoma (CCA) is the most common biliary malignancy worldwide. However, the molecular mechanisms of its tumorigenesis and progression are still largely unclear. OBJECTIVE:This study aimed to explore the hub genes and pathways associated with CCA prognosis by coexpression analysis. METHODS: A coexpression network complex was constructed using the top 20% most variant genes in the GSE89748 dataset to find modules associated with prognosis related clinical trait-histology. The hub genes in the clinically significant modules were defined as candidates if they were common in both the coexpression network and protein-protein interaction (PPI) network. Afterwards, survival analysis, expression level analysis and a series of bioinformatic analysis were used to validate the hub genes. RESULTS: Twenty-five modules were obtained, and the cyan, light cyan and red modules regarded as closely associated with histology were selected. Subsequently, combining the PPI network complexes and coexpression networks, we screened 20 candidates. After expression and survival analysis, 10 real hub genes (LIMA1, HDAC1, ITGA3, ACTR3, GSK3B, ITGA2, THOC2, PTGES3, HEATR1 and ILF2) were finally identified. Additionally, functional enrichment analysis revealed that the hub genes were mainly enriched in cell cycle-related pathways. CONCLUSIONS: Overall, this study identified 10 hub genes and cell cycle-related pathways were closely related to CCA development, progression and prognosis, which may contribute to CCA diagnosis and treatment.
Keywords: Cholangiocarcinoma, bioinformatics analysis, weighted gene coexpression network analysis (WGCNA), prognosis
DOI: 10.3233/CBM-190038
Journal: Cancer Biomarkers, vol. 27, no. 4, pp. 505-517, 2020
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl