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



            mechanisms, as disruptions in these interactions often   linked to reduced survival in MM patients, as indicated by
            lead to pathological conditions.                   hazard ratios greater than one (Figure 2A). To find whether
                                                               these identified PRGs could be used to classify MM
            3.2. Neoplastic categorization according to        patients in terms of overall survival rate or prognosis, we
            prognostic pyroptosis modulators                   performed stratification analysis. Based on the consensus
            Given the huge differences of critical PRGs in MM patients,   clustering matrix, these patients could be classified into
            we next evaluated the correlation of the PRGs in the   two groups (Figure 2B). Moreover, using the Cumulative
            survival of MM patients. Toward this end, a univariate Cox   Distribution Function (CDF) analysis to help determine
            regression analysis was performed. The results showed that   the optimal number of clusters by showing the distribution
            out of the 20 significant DEGs, the high expression levels   of consensus values, we noted a sharp increase in the CDF
            of 11 genes including  BAK1, CASP3, CHMP6, CHMP7,   plot in the form of well-defined clusters, and based upon
            CYCS, TP63, CASP6, CASP8, CASP9, IL6, and GZMA were   these findings, we randomly divided the 842 patients into

                         A                                     B















                         C                                 D














                         E                                 F


















            Figure 2. Classification of MM patients into two subgroups based on the initial set of 20 PRGs identified. (A) The forest plot of the preliminary 20 PRGs
            derived from univariate Cox regression analysis. (B) Stratification of the MM patients into 2 clusters based on the consensus clustering matrix (k = 2).
            (C and D) Consensus clustering model with CDF by k values. (E) The Kaplan–Meier analysis of the survival time in the two clusters. (F) The heatmap
            shows the preliminary 20 PRGs expression of the two clusters with different clinical pathological characteristics.
            Abbreviations: CDF: Cumulative Distribution Function; MM: Multiple myeloma; PRGs: Pyroptosis-related genes.


            Volume 3 Issue 4 (2024)                         6                               doi: 10.36922/gpd.4534
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