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In our study, we employed a wide range of bioinformatics methods. We utilized genetic variation and mRNA phrase data into the Cancer Genome Atlas (TCGA) to construct a panoramic view associated with single nucleotide variations, copy number variants, and gene appearance alterations in SUMOylation regulators in a variety of tumors. Subsequently, we used the String web site as well as the Cytoscape tool to make the PPI community between these regulators. We used
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