The tumor microenvironment (TME) is composed mainly of tumor cells, tumorinfiltrating immune cells, and matrix components. Recent clinical studies have indicated that tumor immune cell infiltration (ICI) is related to the sensitivity of immunotherapy and the prognosis of patients with bladder cancer (BC). Nevertheless, up to now, the landscape of immune infiltration in BC has not been clearly defined. Here we present two algorithms to reveal the landscape of ICI in 277 cases of BC. Two kinds of ICI patterns were established, and ICI scores were based on the analysis of the main components. In sub-types with high ICI scores, we found highly expressed immunecheckpoint and activated transforming growth factor b and WNT signal pathways. These might be the cause of poor prognosis. A low ICI score indicated a better prognosis. Our study showed that ICI scores in immunotherapy could be a valid biomarker for the prognosis of patients and a predictive indicator. The evaluation of ICI patterns of a larger cohort of samples would expand our cognition of TME, and the present study might guide the strategies of immunotherapy for patients with BC.

肿瘤微环境（TME）主要由肿瘤细胞、肿瘤浸润免疫细胞和基质成分组成。最近的临床研究表明，肿瘤免疫细胞浸润（ICI）与免疫治疗的敏感性和膀胱癌（BC）患者的预后有关。然而，到目前为止，BC 省的免疫浸润情况尚未明确界定。在这里，我们提出了两种算法来揭示 277 例 BC 病例中 ICI 的情况。建立了两种ICI模式，并在主要成分分析的基础上进行ICI评分。在ICI评分高的亚型中，我们发现了高表达的免疫检查点和激活的转化生长因子b和WNT信号通路。这些可能是预后不良的原因。 ICI 评分低表明预后较好。我们的研究表明，免疫治疗中的ICI评分可以作为患者预后的有效生物标志物和预测指标。对更大样本群的 ICI 模式进行评估将扩大我们对 TME 的认知，本研究可能指导 BC 患者的免疫治疗策略。