Identification of hub genes and discovery of promising compounds in gastric cancer based on bioinformatics analysis
| Autor: | Fang Wen, Peng Shu, Yingfeng Bai, Wenjie Huang, Xiaona Lu, Jiani Huang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0301 basic medicine
Hub genes Levallorphan Microarray Clinical Biochemistry Amiodarone Datasets as Topic Cell Cycle Proteins Computational biology Resveratrol Protein Serine-Threonine Kinases PLK1 Collagen Type I Small Molecule Libraries 03 medical and health sciences chemistry.chemical_compound Piroxicam 0302 clinical medicine Stomach Neoplasms Proto-Oncogene Proteins Drug Discovery Databases Genetic medicine Humans Gene Vorinostat Mechanism (biology) business.industry Gene Expression Profiling Biochemistry (medical) Ursodeoxycholic Acid Cancer medicine.disease Neoplasm Proteins Gene Expression Regulation Neoplastic 030104 developmental biology Ki-67 Antigen chemistry 030220 oncology & carcinogenesis Clomipramine Identification (biology) Osteopontin business Microtubule-Associated Proteins Procaine Genes Neoplasm |
| Zdroj: | Biomarkers in medicine. 14(12) |
| ISSN: | 1752-0371 |
| Popis: | Aim: To explore the mechanism of gastric carcinogenesis by mining potential hub genes and to search for promising small-molecular compounds for gastric cancer (GC). Materials & methods: The microarray datasets were downloaded from Gene Expression Omnibus database and the genes and compounds were analyzed by bioinformatics-related tools and software. Results: Six hub genes ( MKI67, PLK1, COL1A1, TPX2, COL1A2 and SPP1) related to the prognosis of GC were confirmed to be upregulated in GC and their high expression was correlated with poor overall survival rate in GC patients. In addition, eight candidate compounds with potential anti-GC activity were identified, among which resveratrol was closely correlated with six hub genes. Conclusion: Six hub genes identified in the present study may contribute to a more comprehensive understanding of the mechanism of gastric carcinogenesis and the predicted potential of resveratrol may provide valuable clues for the future development of targeted anti-GC inhibitors. |
| Databáze: | OpenAIRE |
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