Literature DB >> 32036224

Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis.

Haijun Wang1, Jia Liu2, Jinsong Li3, Dan Zang3, Xiaohui Wang3, Yiyang Chen3, Tengteng Gu2, Wei Su3, Na Song4.   

Abstract

Colorectal cancer (CRC) is one of the leading causes of cancer-related mortality in the world, in which colon adenocarcinoma (COAD) is the most common histological subtype of CRC. In this study, our aim is to identify gene modules and representative candidate biomarkers for clinical prognosis of patients with COAD, and help to predict prognosis and reveal the mechanisms of cancer progression. Weighted gene co-expression network analysis (WGCNA) was performed to construct a co-expression network and identify gene modules correlated with TNM clinical staging of COAD patients. The Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed with the module gene. Protein-protein interaction (PPI) network and hub gene identification were explored with Cytoscape software. Finally, the hub gene mRNA level was validated in Oncomine database. Five gene modules, related with the pathological TNM stage, were constructed, and the gene module was enriched in cell proliferation, invasion and migration related GO terms and metabolic related KEGG pathways. A total of top 10 hub genes was identified, and in which six of the hub genes show a significant up-regulation in COAD as compared to normal tissue, including IVL, KRT16, KRT6C, KRT6A, KRT78 and SBSN. In conclusion, we identified five gene modules and six candidate biomarkers correlated with the TNM staging of COAD patients. These findings may help us to understand the tumor progression of COAD and provide prognostic biomarkers as well as therapeutic targets.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  COAD; Gene modules; Hub genes; TNM; WGCNA

Year:  2020        PMID: 32036224     DOI: 10.1016/j.cancergen.2020.01.052

Source DB:  PubMed          Journal:  Cancer Genet


  9 in total

Review 1.  Suprabasin: Role in human cancers and other diseases.

Authors:  Hao Tan; Lidong Wang; Zhen Liu
Journal:  Mol Biol Rep       Date:  2021-11-13       Impact factor: 2.316

2.  The Hippo Pathway Effector Transcriptional Co-activator With PDZ-Binding Motif Correlates With Clinical Prognosis and Immune Infiltration in Colorectal Cancer.

Authors:  Yutong Wang; Hui Nie; Huiling Li; Zhiming Liao; Xuejie Yang; Xiaoyun He; Jian Ma; Jianhua Zhou; Chunlin Ou
Journal:  Front Med (Lausanne)       Date:  2022-07-05

3.  KRT6A expedites bladder cancer progression, regulated by miR-31-5p.

Authors:  Yuan Chen; Shiben Ji; Jianxin Ying; Yongchang Sun; Jun Liu; Guohong Yin
Journal:  Cell Cycle       Date:  2022-03-20       Impact factor: 5.173

4.  Weighted gene co-expression network analysis reveals that CXCL10, IRF7, MX1, RSAD2, and STAT1 are related to the chronic stage of spinal cord injury.

Authors:  Qi Wang; Liang Liu; Jiangang Cao; Muhetidier Abula; Yasen Yimingjiang; Shiqing Feng
Journal:  Ann Transl Med       Date:  2021-08

5.  Weighted Gene Coexpression Network Analysis Identifies Crucial Genes Involved in Coronary Atherosclerotic Heart Disease.

Authors:  Jinli Bao
Journal:  Dis Markers       Date:  2022-08-02       Impact factor: 3.464

6.  The LIM Protein AJUBA is a Potential Oncogenic Target and Prognostic Marker in Human Cancer via Pan-Cancer Analysis.

Authors:  Na Song; Jia Liu; Ke Zhang; Jie Yang; Kai Cui; Zhuang Miao; Feiyue Zhao; Hongjing Meng; Lu Chen; Chong Chen; Yushan Li; Minglong Shao; Wei Su; Haijun Wang
Journal:  Front Cell Dev Biol       Date:  2022-07-11

7.  Screening seven hub genes associated with prognosis and immune infiltration in glioblastoma.

Authors:  Yesen Zhang; Huasheng Fan; Chun Zou; Feng Wei; Jiwei Sun; Yuchun Shang; Liechun Chen; Xiangyu Wang; Beiquan Hu
Journal:  Front Genet       Date:  2022-08-12       Impact factor: 4.772

8.  Evaluation of circulating small extracellular vesicle-derived miRNAs as diagnostic biomarkers for differentiating between different pathological types of early lung cancer.

Authors:  Yi-Fang Jiang; Shan-Na Wei; Nan Geng; Wen-Wen Qin; Xin He; Xiu-Huan Wang; Yao-Pu Qi; Shan Song; Ping Wang
Journal:  Sci Rep       Date:  2022-10-13       Impact factor: 4.996

9.  Bioinformatic Analysis Identified Hub Genes Associated with Heterocyclic Amines Induced Cytotoxicity of Peripheral Blood Mononuclear Cells.

Authors:  Xinyang Li; Lu Dong; Huaning Yu; Yan Zhang; Shuo Wang
Journal:  Genes (Basel)       Date:  2021-11-25       Impact factor: 4.096

  9 in total

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