Page 79 - TD-4-2
P. 79

Tumor Discovery                                                       DRGs in HCC prognosis and immunity



            model value (λ = 0.082469) (Figure  2B and  2C). This   whereas only about 114  patients in the high-risk group
            process successfully identified six genes (CAPZB,  RPN1,   survived. Similarly, the survival numbers were 15 and 13,
            SLC7A11,  FLNA,  NCKAP1, and  CD2AP) (Table 2). The   respectively, after 5 years. This stark contrast indicated a
            six meticulously screened genes underwent regression   statistically significant difference (p<0.001), suggesting a
            analysis to compute their respective coefficients and risk   higher mortality rate in the high-risk group (Figure 3A).
            scores. Based on the median risk score, these scores were   Consequently, the high-risk group displayed a significantly
            subsequently used to establish a risk model that divided   greater number of deaths and a shorter OS time (Figure 3D).
            HCC patients into two distinct subgroups: low-risk and   These findings indicated a negative correlation between
            high-risk groups. Comparative analysis revealed that the   risk scores and prognosis, implying that a higher risk score
            high-risk group, initially comprising 182 individuals,   is associated with poorer prognosis (Figure 3A-D).
            exhibited a significantly lower survival rate than the low-  Time-dependent ROC analysis was performed to assess
            risk group, with 183 patients. Specifically, approximately
            140 patients in the low-risk group survived after 1 year,   the prognostic model’s reliability. The results showed
                                                               notable prognostic accuracy, with the area under the curve
            Table 2. Gene list and coefficients                values of 0.727 for a 1-year prognosis, 0.676 for a 3-year
                                                               prognosis, and 0.635 for a 5-year prognosis. These findings
            Gene                                 Coefficients  underscore the model’s ability to predict prognosis
            CAPZB                                  0.00295     precisely (Figure 3B). Furthermore, heatmap visualization
            RPN1                                   0.00575     was used to highlight the differential expression patterns
            SLC7A11                                0.07195     of DRGs between the high-risk and low-risk groups
            FLNA                                   0.00173     within the TCGA cohort. Notably, six key genes – CAPZB,
                                                               RPN1, SLC7A11, FLNA, NCKAP1, and CD2AP – exhibited
            NCKAP1                                 0.01584     distinct expression profiles. In the high-risk group, these
            CD2AP                                  0.01404     genes showed predominantly elevated expression levels, as



                         A                                  C















                         B
                                                            D
















            Figure 3. Construction of the prognostic disulfidptosis-related genes-based signature. (A) Kaplan-Meier survival analysis of hepatocellular carcinoma
            patients between high-risk and low-risk groups (B) Time-independent receiver operating characteristic analysis of risk scores predicting overall survival.
            (C) Risk line plot (low risk indicated by green and high risk indicated by red. (D) Risk scatterplot.
            Abbreviation: AUC: Area under the curve.


            Volume 4 Issue 2 (2025)                         71                                doi: 10.36922/td.8214
   74   75   76   77   78   79   80   81   82   83   84