Yu Deshui, Zhang Xuanzhi, Gao Lixia, Qian Subo, Tang Hong, Shao Ning
Department of Urology, Second People's Hospital of Wuxi Affiliated to Nanjing Medical University, Wuxi, China.
Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
Front Oncol. 2022 Sep 28;12:924072. doi: 10.3389/fonc.2022.924072. eCollection 2022.
Clear cell renal cell carcinoma (ccRCC) is a highly immunogenic tumor. The purpose of the present study was to establish a novel immunotype for different immune infiltration and overall survival (OS) of patients with ccRCC.
Based on the Cancer Genome Atlas Project (TCGA) database (discovery set), a novel immunotype was established using ssGSEA methods. The databases of Fudan University Shanghai Cancer Center (FUSCC) and Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine (XHH) served as an external validation set. GSEA was carried out to identify the immunotype associated signal transduction pathways.
A total of 652 ccRCC patients were included in our study. We constructed a novel immunotype of ccRCC to classify patients into three groups: high-immunity, moderate-immunity, and low-immunity. The high-immunity and moderate-immunity groups had higher ImmuneScores, ESTIMATEScores, StromalScores, and lower tumor purity than that of the low-immunity group in both sets. Additionally, the patients from the high-immunity and moderate-immunity groups had longer survival than patients from low-immunity group in both discovery set and validation set (HR = 2.54, 95% CI: 1.56-4.13, p < 0.01; HR = 2.75, 95% CI: 1.24-6.11, p = 0.01).
In summary, we defined a novel immunotype of ccRCC. The immune types could be used as a clinical predictive tool to identify ccRCC patients with different survival. In addition, the immune-related biological signaling pathway also brought new insights on the mechanism of ccRCC.
透明细胞肾细胞癌(ccRCC)是一种具有高度免疫原性的肿瘤。本研究的目的是为ccRCC患者不同的免疫浸润和总生存期(OS)建立一种新的免疫分型。
基于癌症基因组图谱计划(TCGA)数据库(发现集),使用单样本基因集富集分析(ssGSEA)方法建立一种新的免疫分型。复旦大学附属肿瘤医院(FUSCC)和上海交通大学医学院附属新华医院(XHH)的数据库作为外部验证集。进行基因集富集分析(GSEA)以识别与免疫分型相关的信号转导通路。
我们的研究共纳入652例ccRCC患者。我们构建了一种新的ccRCC免疫分型,将患者分为三组:高免疫组、中免疫组和低免疫组。在两个数据集中,高免疫组和中免疫组的免疫评分、ESTIMATE评分、基质评分均高于低免疫组,肿瘤纯度低于低免疫组。此外,在发现集和验证集中,高免疫组和中免疫组患者的生存期均长于低免疫组患者(风险比[HR]=2.54,95%置信区间[CI]:1.56 - 4.13,p<0.01;HR = 2.75,95%CI:1.24 - 6.11,p = 0.01)。
总之,我们定义了一种新的ccRCC免疫分型。该免疫分型可作为一种临床预测工具,用于识别具有不同生存期的ccRCC患者。此外,免疫相关的生物信号通路也为ccRCC的发病机制带来了新的见解。