Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Identification of hub genes and pathways in cholangiocarcinoma by coexpression analysis

Authors: Junjie, Kong; Shu, Shen; Zifei, Zhang; Wentao, Wang;

Identification of hub genes and pathways in cholangiocarcinoma by coexpression analysis

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

Gene Expression Profiling, Cell Cycle, Computational Biology, Prognosis, Cholangiocarcinoma, Survival Rate, Bile Duct Neoplasms, Databases, Genetic, Biomarkers, Tumor, Disease Progression, Humans, Gene Regulatory Networks, Protein Interaction Maps

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!