Identification of potential biomarkers of peripheral blood mononuclear cell in hepatocellular carcinoma using bioinformatic analysis: A protocol for systematic review and meta-analysis
| Autor: | Guo-Jian Li, Lei Wang, Ji-Zhou Wu, Yu-mei Xi, Jian-Lin Wu, Xiao-Qing Li, Jin-lin Peng |
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| Rok vydání: | 2020 |
| Předmět: |
bioinformatics analysis
differentially expressed genes Carcinoma Hepatocellular peripheral blood mononuclear cell Moesin Human Protein Atlas Peripheral blood mononuclear cell 03 medical and health sciences 0302 clinical medicine Platelet degranulation Clinical Protocols Meta-Analysis as Topic Gene expression Biomarkers Tumor Medicine Cluster Analysis Humans 030212 general & internal medicine Protein Interaction Maps KEGG Gene business.industry Gene Expression Profiling Liver Neoplasms Computational Biology MYLK General Medicine hepatocellular carcinoma Prognosis Survival Analysis 030220 oncology & carcinogenesis Cancer research Leukocytes Mononuclear business Systematic Review and Meta-Analysis Systematic Reviews as Topic Research Article |
| Zdroj: | Medicine |
| ISSN: | 1536-5964 |
| Popis: | Background: Hepatocellular carcinoma (HCC) is the cause of an overwhelming number of cancer-related deaths across the world. Developing precise and noninvasive biomarkers is critical for diagnosing HCC. Our research was designed to explore potentially useful biomarkers of host peripheral blood mononuclear cell (PBMC) in HCC by integrating comprehensive bioinformatic analysis. Methods: Gene expression data of PBMC in both healthy individuals and patients with HCC were extracted from the Gene Expression Omnibus (GEO) to identify differentially expressed genes (DEGs). The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were applied to annotate the function of DEGs. Protein-protein interaction analysis was performed to screen the hub genes from DEGs. cBioportal database analysis was performed to assess the prognostic significance of hub genes. The Cancer Cell Line Encyclopedia (CCLE) and The Human Protein Atlas (HPA) database analyses were performed to confirm the expression levels of the hub genes in HCC cells and tissue. Results: A total of 95 DEGs were screened. Results of the GO analysis revealed that DEGs were primarily involved in platelet degranulation, cytoplasm, and protein binding. Results of the KEGG analysis indicated that DEGs were primarily enriched in focal adhesion. Five genes, namely, myosin light chain kinase (MYLK), interleukin 1 beta (IL1B), phospholipase D1 (PLD1), cortactin (CTTN), and moesin (MSN), were identified as hub genes. A search in the CCLE and HPA database showed that the expression levels of these hub genes were remarkably increased in the HCC samples. Survival analysis revealed that the overexpression of MYLK, IL1B, and PLD1 may have a significant effect on HCC survival. The aberrant high expression levels of MYLK, IL1B, and PLD1 strongly indicated worse prognosis in patients with HCC. Conclusions: The identified hub genes may be closely linked with HCC tumorigenicity and may act as potentially useful biomarkers for the prognostic prediction of HCC in PBMC samples. |
| Databáze: | OpenAIRE |
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