| Libo Feng,Liu Yu,Xiaolong Chen. Bioinformatics analysis of potential hub genes associated with biological characteristics and survival in patients with gastric cancer. Oncol Transl Med, 2022, 8: 232-238. |
| Bioinformatics analysis of potential hub genes associated with biological characteristics and survival in patients with gastric cancer |
| Received:November 16, 2021 Revised:October 19, 2022 |
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| KeyWord:gastric cancer; differentially expressed genes; enrichment analysis; bioinformatics |
| Author Name | Affiliation | Postcode | | Libo Feng | Department of Gastrointestinal Surgery, The Affiliated Hospital of Southwest Medical University | 646000 | | Liu Yu | Department of Gastrointestinal Surgery, The Affiliated Hospital of Southwest Medical University | | | Xiaolong Chen | Department of Gastrointestinal Surgery, The Affiliated Hospital of Southwest Medical University | 646000 |
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| Abstract: |
| Objective Gastric cancer (GC) is a serious threat to human health. In this study, we aimed to explore the
differentially expressed genes (DEGs) and identify potential targets for the treatment of GC.
Methods The gene expression profile of GSE79973 which compared tissue samples from gastric cancer
patients and healthy individuals, downloaded from the GEO database, was submitted to the GCBI online
analysis platform to screen for DEGs. Gene ontology (GO) analysis, pathway analysis, and construction
of networks, including gene signal and gene co-expression networks, were performed to identify the core
DEGs. Survival analysis was performed to determine the relationship between these genes and patient
survival time.
Results Nine hundred eighty-three genes were identified as DEGs (P < 0.001; FC > 2). GO analysis
showed that DEGs were primarily involved in processes such as angiogenesis, cell metabolism, cell
adhesion, redox processes, and cell migration. The metabolism of xenobiotics by cytochrome P450, ECM-
receptor interaction, drug metabolism by cytochrome P450, metabolic pathways, and the PI3K-Akt signaling
pathway were significantly enriched in pathway analysis. Genes such as UGT2B15, Hepatocyte growth
factor (HGF), Nidogen-2 (NID2), Follistatin-like protein 1 (FSTL1), and Inhibin beta A chain (INHBA) were
closely linked to other genes in the network. Survival analyses indicated that HGF, NID2, FSTL1, and INHBA
expression levels were inversely correlated with survival time in patients with gastric cancer.
Conclusion HGF, NID2, FSTL1, and INHBA may be potential key genes associated with the biological
characteristics and survival in patients with gastric cancer. |
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