Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Department of Urology, Nanjing University of Chinese Medicine, Nanjing, China.
Front Immunol. 2023 Aug 18;14:1207061. doi: 10.3389/fimmu.2023.1207061. eCollection 2023.
Immunogenic cell death (ICD) is considered a particular cell death modality of regulated cell death (RCD) and plays a significant role in various cancers. The connection between kidney renal clear cell carcinoma (KIRC) and ICD remains to be thoroughly explored.
We conducted a variety of bioinformatics analyses using R software, including cluster analysis, prognostic analysis, enrichment analysis and immune infiltration analysis. In addition, we performed Quantitative Real-time PCR to evaluate RNA levels of specific ICD genes. The proliferation was measured through Cell Counting Kit-8 (CCK-8) assay and colony-formation assay in RCC cell lines.
We determined two ICD subtypes through consensus clustering analysis. The two subtypes showed significantly different clinical outcomes, genomic alterations and tumor immune microenvironment. Moreover, we constructed the ICD prognostic signature based on TF, FOXP3, LY96, SLC7A11, HSP90AA1, UCN, IFNB1 and TLR3 and calculated the risk score for each patient. Kaplan-Meier survival analysis and ROC curve demonstrated that patients in the high-risk group had significantly poorer prognosis compared with the low-risk group. We then validated the signature through external cohort and further evaluated the relation between the signature and clinical features, tumor immune microenvironment and immunotherapy response. Given its critical role in ICD, we conducted further analysis on LY96. Our results indicated that downregulation of LY96 inhibited the proliferation ability of RCC cells.
Our research revealed the underlying function of ICD in KIRC and screened out a potential biomarker, which provided a novel insight into individualized immunotherapy in KIRC.
免疫原性细胞死亡(ICD)被认为是一种特殊的细胞程序性死亡(RCD)方式,在各种癌症中发挥着重要作用。肾癌(KIRC)与 ICD 之间的联系仍有待深入研究。
我们使用 R 软件进行了多种生物信息学分析,包括聚类分析、预后分析、富集分析和免疫浸润分析。此外,我们通过定量实时 PCR 评估了特定 ICD 基因的 RNA 水平。通过细胞计数试剂盒-8(CCK-8)测定和肾癌细胞系中的集落形成测定来测量增殖。
通过共识聚类分析,我们确定了两种 ICD 亚型。这两种亚型表现出明显不同的临床结局、基因组改变和肿瘤免疫微环境。此外,我们基于 TF、FOXP3、LY96、SLC7A11、HSP90AA1、UCN、IFNB1 和 TLR3 构建了 ICD 预后标志物,并为每位患者计算了风险评分。Kaplan-Meier 生存分析和 ROC 曲线表明,高风险组患者的预后明显差于低风险组。我们通过外部队列验证了该标志物,并进一步评估了该标志物与临床特征、肿瘤免疫微环境和免疫治疗反应之间的关系。鉴于 LY96 在 ICD 中的关键作用,我们对其进行了进一步分析。结果表明,下调 LY96 抑制了 RCC 细胞的增殖能力。
我们的研究揭示了 ICD 在 KIRC 中的潜在功能,并筛选出了一个潜在的生物标志物,为 KIRC 的个体化免疫治疗提供了新的思路。