Immune microenvironment infiltration landscape and immune-related subtypes in prostate cancer.
Immune microenvironment infiltration landscape and immune-related subtypes in prostate cancer.
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DOI：
10.3389/fimmu.2022.1001297
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发表时间：
2022
影响因子：
7.3
通讯作者：
中科院分区：
文献类型：
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作者：
肿瘤微环境（TME）主要包括癌细胞、癌症浸润免疫细胞和基质细胞。肿瘤细胞通过分泌信号分子改变TME以诱导免疫耐受。浸润TME的免疫细胞影响癌症患者的预后。然而，尚未研究前列腺癌（PC）患者TME中的免疫细胞浸润（ICI）。在这项研究中，我们使用了通过估计RNA转录物的相对子集进行细胞类型鉴定（CIBERSORT）和使用表达数据估计恶性肿瘤中的基质和免疫细胞（ESTIMATE）算法，根据TME中与ICI相关的1，099个基因来鉴定三个ICI簇。根据ICI簇中重叠的差异表达基因，将患者分为三个不同的ICI基因簇。此外，使用主成分分析计算ICI评分。结果显示，ICI评分高的患者的免疫功能较差，免疫检查点基因和免疫相关基因的表达减少。此外，转化生长因子-β（TGF-β）和WNT-β信号通路在高ICI评分亚组中富集，这表明T细胞抑制可能导致PC患者预后不良。高ICI评分亚组与高肿瘤突变负荷（TMB）值呈正相关。低ICI评分的患者可从免疫治疗中获益，表明ICI评分可用于预测免疫应答的疗效。总之，我们提供了一个全面的概述的景观ICI在PC，这可能有助于设计的策略，PC患者的免疫治疗。
The tumor microenvironment (TME) primarily comprises cancer cells, cancer-infiltrating immune cells, and stromal cells. The tumor cells alter the TME by secreting signaling molecules to induce immune tolerance. The immune cell infiltrating the TME influences the prognosis of patients with cancers. However, immune cell infiltration (ICI) in the TME of patients with prostate cancer (PC) has not yet been studied. In this study, we used Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) and Estimation of Stromal and Immune cells in Malignant Tumors using Expression data (ESTIMATE) algorithms to identify three ICI clusters based on 1,099 genes associated with ICI in the TME. The patients were classified into three distinct ICI gene clusters based on overlapping differentially expressed genes in ICI clusters. Furthermore, the ICI scores were calculated using principal component analysis. The results revealed that patients with high ICI scores had poor prognoses and reduced expression of immune-checkpoint genes and immune-related genes. Furthermore, the transforming growth factor-beta (TGF-β) and WNT-β signaling pathways were enriched in the high ICI score subgroup, which suggests that suppression of T cells could contribute to poor prognosis of patients with PC. A positive correlation was observed between the high-ICI-score subgroup and the high tumor mutation burden (TMB) value. Patients with low ICI scores could benefit from immunotherapy, indicating that the ICI score could be used to predict the efficacy of immunotherapeutic response. In summary, we provide a comprehensive overview of the landscape of ICI in PC, which could aid in designing the strategies for immunotherapy for patients with PC.
影响因子：
2.8
作者：
Wang L;Yao Y;Xu C;Wang X;Wu D;Hong Z
通讯作者：
Hong Z