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基于肿瘤相关巨噬细胞的特征可用于解析前列腺癌的预后和免疫治疗反应。

A tumour-associated macrophage-based signature for deciphering prognosis and immunotherapy response in prostate cancer.

机构信息

Department of Urology, Affiliated Hospital of Jiangnan University, Wuxi, China.

Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou, China.

出版信息

IET Syst Biol. 2024 Oct;18(5):155-171. doi: 10.1049/syb2.12097. Epub 2024 Aug 13.

Abstract

For the multistage progression of prostate cancer (PCa) and resistance to immunotherapy, tumour-associated macrophage is an essential contributor. Although immunotherapy is an important and promising treatment modality for cancer, most patients with PCa are not responsive towards it. In addition to exploring new therapeutic targets, it is imperative to identify highly immunotherapy-sensitive individuals. This research aimed to establish a signature risk model, which derived from the macrophage, to assess immunotherapeutic responses and predict prognosis. Data from the UCSC-XENA, GEO and TISCH databases were extracted for analysis. Based on both single-cell datasets and bulk transcriptome profiles, a macrophage-related score (MRS) consisting of the 10-gene panel was constructed using the gene set variation analysis. MRS was highly correlated with hypoxia, angiogenesis, and epithelial-mesenchymal transition, suggesting its potential as a risk indicator. Moreover, poor immunotherapy responses and worse prognostic performance were observed in the high-MRS group of various immunotherapy cohorts. Additionally, APOE, one of the constituent genes of the MRS, affected the polarisation of macrophages. In particular, the reduced level of M2 macrophage and tumour progression suppression were observed in PCa xenografts which implanted in Apolipoprotein E-knockout mice. The constructed MRS has the potential as a robust prognostic prediction tool, and can aid in the treatment selection of PCa, especially immunotherapy options.

摘要

为了研究前列腺癌(PCa)的多阶段进展和对免疫疗法的耐药性,肿瘤相关巨噬细胞是一个重要的贡献者。虽然免疫疗法是癌症治疗的一种重要且有前途的治疗方式,但大多数 PCa 患者对此并不敏感。除了探索新的治疗靶点外,确定高度免疫治疗敏感的个体至关重要。本研究旨在建立一个源自巨噬细胞的特征风险模型,以评估免疫治疗反应并预测预后。为此,从 UCSC-XENA、GEO 和 TISCH 数据库中提取数据进行分析。基于单细胞数据集和批量转录组图谱,使用基因集变异分析构建了一个由 10 个基因组成的巨噬细胞相关评分(MRS)。MRS 与缺氧、血管生成和上皮间质转化高度相关,表明其具有作为风险指标的潜力。此外,在各种免疫治疗队列的高 MRS 组中,观察到免疫治疗反应差和预后不良。此外,MRS 的组成基因之一 APOE 影响巨噬细胞的极化。特别是在载脂蛋白 E 敲除小鼠中植入的 PCa 异种移植物中,观察到 M2 巨噬细胞减少和肿瘤进展抑制。构建的 MRS 具有作为强大预后预测工具的潜力,并有助于 PCa 的治疗选择,特别是免疫治疗选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1774/11490193/25fd21790d5a/SYB2-18-155-g010.jpg

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