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©The Author(s) 2023.
World J Clin Oncol. Oct 24, 2023; 14(10): 357-372
Published online Oct 24, 2023. doi: 10.5306/wjco.v14.i10.357
Published online Oct 24, 2023. doi: 10.5306/wjco.v14.i10.357
Figure 1 Clustering tree of 36 samples of Burkitt lymphoma extracted from GSE4475.
Red indicated more gene expression, white less, and grey indicated deletion. CCS: Chromosomal Complexity Score.
Figure 2 Sample clustering to detect outliers and construction of co-expression modules.
A: The constructed co-expression modules of Burkitt lymphoma genes by weighted gene co-expression network analysis; B: Interaction analysis between gene co-expression modules. The heatmap showed the Topological Overlap Matrix among genes in the analysis. Different colors on the x-axis and y-axis represented different modules. The intensity of inter-module connections was visually represented by the yellow brightness in the central region, gradually transitioning into deeper shades of orange.
Figure 3 Module-trait association.
Correlation thermography between modular feature genes and clinical features of Burkitt lymphoma. Each row corresponded to a module feature, and the column corresponded to a clinical feature. Each cell contained the correlation and the corresponding P value. CCS: Chromosomal Complexity Score; ME: Module membership.
Figure 4 The scatter plot of the correlation for an age-related gene between module membership and gene significance in the yellow module.
Figure 5 Genetic and Protein-Protein interaction network of hub genes.
A: GeneMANIA was used to construct a genetic interaction network. The black nodes with a slash represent the query gene, while the other nodes represent the predicted genes. The purple edges indicate co-expression, whereas the blue edges signify co-localization; B: A physically and functionally connected Protein-Protein Interaction network implemented common goals through Search Tool for the Retrieval of Interacting Genes/Proteins, where nodes represented proteins and edges represented pairs of interactions between proteins. Node size and color indicated richness, while edge size and color reflected combined scores.
Figure 6 Functional enrichment analysis results of hub genes.
A: The top 10 gene ontology terms of hub genes; B: The top 10 Kyoto Encyclopedia of Genes and Genomes pathways of hub genes. GO: Gene Ontology; KEGG: Kyoto Encyclopedia of Genes and Genomes.
Figure 7 Kaplan–Meier survival curve.
A to J: Kaplan–Meier survival curve of identified hub genes in GSE69051.
Figure 8 Nomogram and calibration plot for GSE69051 cohort.
A: The nomogram was constructed to predicting1, 3-year survival rate of Burkitt lymphoma patients; B: The calibration curves for predicting patient survival at 1 and 3 years in the cohort. OS: Overall survival.
Figure 9 Drugs related to IL2RA and CXCL10.
- Citation: Xu YF, Wang GY, Zhang MY, Yang JG. Hub genes and their key effects on prognosis of Burkitt lymphoma. World J Clin Oncol 2023; 14(10): 357-372
- URL: https://www.wjgnet.com/2218-4333/full/v14/i10/357.htm
- DOI: https://dx.doi.org/10.5306/wjco.v14.i10.357