Research Paper Volume 15, Issue 18 pp 9358—9376

Figure 2. SRLPI identification and its clinical applications. (A) heatmap showing differentially expressed lncRNAs between tumor and normal samples in TCGA database; (B) Venn plot showing the intersection of senescence-related, differentially expressed and BCR-related lncRNAs; (C) lasso regression analysis showing the optimal lambda for the model; (D) lasso regression analysis showing the lncRNAs in the optimal model; (E) multivariate Cox regression analysis showing the prognostic lncRNAs used to construct the SRLPI score in terms of biochemical recurrence-free survival; (F) risk factor plot showing the distribution of outcomes and final lncRNAs in the SRLPI score; (G) time-dependent ROC curve showing the diagnostic ability of SRLPI score for BCR identification of PCa patients; (H) heatmap showing relationship of SRLPI score with common senescence markers; (I) Kaplan-Meier curve showing the survival difference of high- and low- SRLPI groups for PCa patients in TCGA database; (J) Kaplan-Meier curve showing the BCR-free survival difference of high- and low- SRLPI groups for PCa patients in GSE116918; (K) Kaplan-Meier curve showing the metastasis-free survival difference of high- and low- SRLPI groups for PCa patients in GSE116918; (L) ROC curve showing the diagnostic accuracy of SRLPI score for radiotherapy sensitivity in PCa patients. Abbreviations: SRLPI: senescence-related lncRNA prognostic index; BCR: biochemical recurrence; ROC: receiver operating characteristic curve; lncRNA: long non-coding RNA; PCa: prostate cancer. Note: prostate cancer patients were divided into high- and low- risk groups according to the median value of SRLPI score.