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Gene & Protein in Disease                                      A pyroptosis-related gene signature in myeloma




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            Figure 1. The expression profiles of the PRGs in MM patients. (A) The expression profile of the PRGs in normal (n = 70) and MM cells (n = 842) retrieved
            from GTEx database and TCGA-MMRF CoMMpass database, respectively. (B) The protein-protein interaction network diagram of DEGs.
            Abbreviations: DEGs: Differentially expressed genes; MM: Multiple myeloma; PRGs: Pyroptosis-related genes.


            Simultaneously,  31  genes  were  significantly  upregulated,   Network analysis was performed using GeneMANIA,
            including BAK1, CASP-1, -3, -4, -5, CHMP-2B, -4B, -6,- 7,   revealing that interactions among these DEGs formed
            ELANE, GSDMD, GZMB, IRF1, IRF2, TP53, AIM2, CASP8,   three interconnected regulatory subnetworks, specifically
            GSDMB, IL6, NLRC4, NLRP-1,-3, -6, -7, -9, NOD2, PJVK,   being associated with: (1) the caspase and granzyme
            TIRAP,  TNF,  GZMA, and  FOXO3. DEGs are pivotal in   family, mainly including CASP1, CASP3, CASP4, CASP5,
            data analysis as they reveal key genetic variations linked to   GZMA,  GZMB; (2) the gsdermin family, including
            specific biological processes or diseases. Identifying DEGs   GSDMA,  GSDMB,  GSDMC,  GSDMD and  GSDME; and
            enables us to discover potential biomarkers and therapeutic   (3) the NOD-like receptor family, mainly including
            targets, aiding in understanding MM mechanisms. Given   NLRP2,  NLRP3,  NLRP5,  NLRP7,  NLRP9,  AIM2, and
            the markedly different expression profiles of specific PRGs   NOD2. The specific interaction of these DEGs is illustrated
            in MM patients and healthy individuals, it is thus possible   in  Figure  1B. PPIs is essential in data analysis as they
            to predict the significance of the PRGs in clinical outcomes   help map the complex networks that regulate cellular
            of MM patients.                                    processes. By studying PPIs, we can gain insights into MM



            Volume 3 Issue 4 (2024)                         5                               doi: 10.36922/gpd.4534
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