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

A B

C D

E
F

G

Figure 3. Construction of an independent prognostic model with a 9-gene set in the training cohort. (A and B) Construction of the LASSO regression
model based on the preliminary 20 PRGs. (C and D) The risk scores and survival status of the 9 genes in the two risk groups, divided based on the median
risk score derived from the LASSO regression analysis. (E and F) The univariate Cox analysis and multivariate Cox analysis to assess the independence of
risk score. (G) The expression profile of the progostic risk genes in the model construction.
Abbreviation: PRGs: Pyroptosis-related genes.

confirm that the 9-PRG signature set could be used for risk analysis (Figure 6A-E). Furthermore, we developed a
stratification in MM patients. novel prognostic tool that combined the calculated risk
scores with gender and disease stage, and the prognostic
3.5. Assessment of the prognostic signature for chart effectively predicted survival rate for MM patients
patient segmentation (Figure 6F). Therefore, the above overall analyses have
The above studies have shown that the 9-PRG set could collectively demonstrated the 9-PRG signature set could
be used to identify the high-risk MM patients. To be used to effectively distinguish between the different risk
further estimate the capacity of this gene signature set groups of MM patients.
in identification of high-risk MM patients, we examined
overall survival rate in relation to clinical settings, 3.6. Immune activity between the two subgroups
including gender and disease stages. The correlation Given the strong association between pyroptosis and tumor
analysis showed that, regardless of gender or disease stages, immunity, as well as the impact of tumor microenvironment
the patients categorized as high-risk consistently had including immune cells on MM cells grown in bone
lower survival probabilities, as revealed by K–M survival marrow, we postulated that the gene signature set may play

Volume 3 Issue 4 (2024) 8 doi: 10.36922/gpd.4534