Fig. 4: Validation of the SRGS and exploration of its potential mechanisms promoting tumor progression in SYSU-PRAD Cohort. | British Journal of Cancer

Fig. 4: Validation of the SRGS and exploration of its potential mechanisms promoting tumor progression in SYSU-PRAD Cohort.

From: Senescence-related gene signature predicts prostate cancer progression and identifies PCNA as a therapeutic target via multi-omics machine learning integration

Fig. 4: Validation of the SRGS and exploration of its potential mechanisms promoting tumor progression in SYSU-PRAD Cohort.

a Kaplan–Meier survival curves for Biochemical Recurrence (BCR) according to SRGS in SYSU-PRAD cohort (n = 90). b Time-dependent ROC analyses for assessing BCR at 1, 2, and 3 years in the SYSU-PRAD cohort. c Comparison of SRGS with other clinical factors for prognostic prediction in SYSU-PRAD cohort (n = 90). Data represent mean ± 95% CI. d Heatmap showing the correlation between SRGS and 50 tumor-associated pathways in SYSU-PRAD cohort. e Correlation analysis between SRGS and somatic copy number alterations (SCNA) in SYSU-PRAD cohort. Statistical test: Pearson correlation analysis. f Correlation analysis between SRGS and tumor mutational burden (TMB) in SYSU-PRAD cohort. Statistical test: Pearson correlation analysis.

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