UNASSIGNED:本研究旨在介绍肿瘤内微环境的景观,并通过该分类系统建立可用于预测膀胱癌患者的预后及其对抗PD-L1免疫疗法的反应的分类系统。
UNASSIGNED:从七个公共数据集中下载了1554例膀胱癌病例的表达谱。单样本基因集富集分析(ssGSEA),单变量Cox回归分析,采用Meta分析建立膀胱癌免疫预后指数(BCIPI)。进行了广泛的分析,以调查BCIPI和总生存率之间的关系。肿瘤浸润的免疫细胞,免疫治疗反应,突变负荷,等。
UNASSIGNED:从七个独立队列和荟萃分析中获得的结果表明,BCIPI是评估膀胱癌患者总体生存率的有效分类系统。BCIPI-High亚组的患者在肿瘤浸润的免疫细胞和突变基因方面与BCIPI-Low亚组的患者表现出不同的免疫表型结果。随后的分析表明,与BCIPI低亚组相比,BCIPI高亚组的患者对抗PD-L1免疫疗法更敏感。
UNASSIGNED:新建立的BCIPI是预测膀胱癌患者总体生存结果和免疫治疗反应的有价值的工具。
UNASSIGNED: This study aims to present the landscape of the intratumoral microenvironment and by which establish a classification system that can be used to predict the prognosis of bladder cancer patients and their response to anti-PD-L1 immunotherapy.
UNASSIGNED: The expression profiles of 1554 bladder cancer cases were downloaded from seven public datasets. Single-sample gene set enrichment analysis (ssGSEA), univariate Cox regression analysis, and meta-analysis were employed to establish the bladder cancer immune prognostic index (BCIPI). Extensive analyses were executed to investigate the association between BCIPI and overall survival, tumor-infiltrated immunocytes, immunotherapeutic response, mutation load, etc.
UNASSIGNED: The results obtained from seven independent cohorts and meta-analyses suggested that the BCIPI is an effective classification system for estimating bladder cancer patients\' overall survival. Patients in the BCIPI-High subgroup revealed different immunophenotypic outcomes from those in the BCIPI-Low subgroup regarding tumor-infiltrated immunocytes and mutated genes. Subsequent analysis suggested that patients in the BCIPI-High subgroup were more sensitive to anti-PD-L1 immunotherapy than those in the BCIPI-Low subgroup.
UNASSIGNED: The newly established BCIPI is a valuable tool for predicting overall survival outcomes and immunotherapeutic responses in patients with bladder cancer.