Landscape of the intratumroal microenvironment in bladder cancer: Implications for prognosis and immunotherapy,Computational and Structural Biotechnology Journal

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Landscape of the intratumroal microenvironment in bladder cancer: Implications for prognosis and immunotherapy
Computational and Structural Biotechnology Journal ( IF 4.4 ) Pub Date : 2022-12-01 , DOI: 10.1016/j.csbj.2022.11.052
Zichen Bian ₁ , Jia Chen ₁ , Chang Liu ₁ , Qintao Ge ₁ , Meng Zhang _{1,

2} , Jialin Meng ₁ , Chaozhao Liang ₁

Affiliation

Introduction

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.

Methods

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.

Results

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.

Conclusions

The newly established BCIPI is a valuable tool for predicting overall survival outcomes and immunotherapeutic responses in patients with bladder cancer.

中文翻译：

膀胱癌瘤内微环境景观：对预后和免疫治疗的影响

介绍

本研究旨在展示肿瘤内微环境的概况，并据此建立一个分类系统，该系统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。

方法

从七个公共数据集中下载了 1554 例膀胱癌病例的表达谱。采用单样本基因集富集分析（ssGSEA）、单变量Cox回归分析和荟萃分析建立膀胱癌免疫预后指数（BCIPI）。进行了广泛的分析以研究 BCIPI 与总生存期、肿瘤浸润免疫细胞、免疫治疗反应、突变负荷等之间的关联。

结果

从七个独立队列和荟萃分析中获得的结果表明，BCIPI 是估计膀胱癌患者总生存期的有效分类系统。BCIPI-High 亚组患者在肿瘤浸润免疫细胞和突变基因方面显示出与 BCIPI-Low 亚组患者不同的免疫表型结果。随后的分析表明，BCIPI-High 亚组患者比 BCIPI-Low 亚组患者对抗 PD-L1 免疫治疗更敏感。