Prognostic marker identification based on weighted gene co-expression network analysis and associated in vitro confirmation in gastric cancer
Autor: | Shanshan Liu, Jun Yang, Qianwen Zhao, Xianliang Hou, Tao Qin, Hao-Nan Guo, Lei Ren |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Hyaluronoglucosaminidase
Bioengineering Biology Applied Microbiology and Biotechnology Downregulation and upregulation Stomach Neoplasms Gene expression Biomarkers Tumor medicine Humans cemip prognostic biomarker B cell Gene Expression Profiling gastric cancer Weighted correlation network analysis Computational Biology Cancer RNA General Medicine Prognosis medicine.disease In vitro medicine.anatomical_structure tumor infiltration wgcna Cancer research Gene co-expression network Transcriptome TP248.13-248.65 Research Article Research Paper Biotechnology |
Zdroj: | Bioengineered, Vol 12, Iss 1, Pp 4666-4680 (2021) Bioengineered article-version (VoR) Version of Record |
ISSN: | 2165-5987 2165-5979 |
Popis: | The aim of this study was to explore the potential molecular mechanisms of Gastric cancer (GC) and identify new prognostic markers for GC. RNA sequencing data were downloaded from the Gene Expression Omnibus database, and 418 differentially expressed genes (DEGs) were screened. Weighted correlation network analysis (WGCNA) was performed to identify six hub modules related to the clinical features of GC. Cytoscape software was used to identify five hub genes in the co-expression network, including CST1, CEMIP, COL8A1, PMEPA1, and MSLN. The TCGA database was used to verify hub gene expression in GC. The overall survival in the high CEMIP expression group was significantly lower than that of patients in the low CEMIP expression group. CEMIP expression was also found to be negatively correlated with B cell and CD4 + T cell infiltration. Further, associated in vitro experiments confirmed that CEMIP downregulation suppressed the proliferation and migration of GC cells and impaired the chemoresistance of GC cells to 5-fluorouracil. Our study effectively identified and validated prognostic biomarkers for GC, laying a new foundation for the therapeutic target, occurrence, and development of gastric cancer. |
Databáze: | OpenAIRE |
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