Department of Dermatology, The 95th Hospital of Putian, Putian, Fujian, China.
Department of Dermatology, Putian First Hospital of Fujian Province, Putian, Fujian, China.
Skin Res Technol. 2024 May;30(5):e13739. doi: 10.1111/srt.13739.
Programmed cell death (PCD) pathways play crucial roles in the pathogenesis of skin cutaneous melanoma (SKCM). Understanding their prognostic significance and clinical implications is imperative for the development of personalized treatment strategies.
A total of 1466 PCD-related genes were analyzed using data from The Cancer Genome Atlas (TCGA)-SKCM cohort (n = 353). Prognostic cell death index (CDI) was established and validated through survival analysis and predictive modeling. Functional enrichment, protein-protein interaction (PPI), consensus clustering, and tumor microenvironment assessment and drug sensitivity analysis were performed to elucidate the biological and clinical relevance of CDI.
CDI effectively stratified SKCM patients into high and low-risk groups, demonstrating significant differences in survival outcomes. It exhibited predictive value for survival at 1, 3, and 5 years. The concordance index (C-index) was 0.794 in the training set, and 0.792 and 0.821 in the internal and external validation sets, respectively. The corresponding area under curve (AUC) was all above 0.75 in these data sets. Functional enrichment analysis revealed significant associations with immune response and inflammatory processes. PPI analysis identified key molecular modules associated with apoptosis and chemokine signaling. Consensus clustering unveiled three discernible subtypes demonstrating notable disparities in survival outcomes based on CDI expression profiles. Assessment of the tumor microenvironment highlighted correlations with immune cell infiltration such as M1 macrophages and T cells. Drug sensitivity analysis indicated tight correlations between CDI levels and response to immunotherapy.
Our comprehensive analysis establishes the prognostic significance of PCD-related genes in SKCM. CDI emerges as a promising prognostic biomarker, offering insights into tumor biology and potential implications for personalized treatment strategies. Further validation and clinical integration of CDI are warranted to improve SKCM management and patient outcomes.
细胞程序性死亡(PCD)途径在皮肤黑色素瘤(SKCM)的发病机制中起着至关重要的作用。了解其预后意义和临床意义对于制定个性化治疗策略至关重要。
使用来自癌症基因组图谱(TCGA)-SKCM 队列(n=353)的数据分析了总共 1466 个 PCD 相关基因。通过生存分析和预测模型建立并验证了预后细胞死亡指数(CDI)。进行功能富集、蛋白质-蛋白质相互作用(PPI)、共识聚类以及肿瘤微环境评估和药物敏感性分析,以阐明 CDI 的生物学和临床相关性。
CDI 有效地将 SKCM 患者分为高风险和低风险组,在生存结果方面显示出显著差异。它对 1、3 和 5 年的生存具有预测价值。训练集中的一致性指数(C-index)为 0.794,内部和外部验证集中分别为 0.792 和 0.821。这些数据集中的相应曲线下面积(AUC)均高于 0.75。功能富集分析显示与免疫反应和炎症过程有显著关联。PPI 分析确定了与细胞凋亡和趋化因子信号相关的关键分子模块。共识聚类揭示了三个可识别的亚型,根据 CDI 表达谱显示出明显的生存结果差异。肿瘤微环境评估强调了与免疫细胞浸润(如 M1 巨噬细胞和 T 细胞)的相关性。药物敏感性分析表明 CDI 水平与免疫治疗反应之间存在紧密相关性。
我们的综合分析确立了 PCD 相关基因在 SKCM 中的预后意义。CDI 作为一种有前途的预后生物标志物,为肿瘤生物学提供了深入了解,并为个性化治疗策略提供了潜在的应用。需要进一步验证和临床整合 CDI,以改善 SKCM 的管理和患者的结局。