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构建基于免疫相关基因的膀胱癌预后标志物。

Construction of a immune-associated genes based prognostic signature in bladder cancer.

机构信息

Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, China.

Key Laboratory of Urology and Andrology, The Affiliated Hospital of Qingdao University, Qingdao, China.

出版信息

Artif Cells Nanomed Biotechnol. 2021 Dec;49(1):108-119. doi: 10.1080/21691401.2020.1865994.

DOI:10.1080/21691401.2020.1865994
PMID:33459039
Abstract

Current studies indicated that immune-associated genes (IAGs) have important roles in the occurrence and development of bladder cancer (BC). The current work aims to identify the prognostic values of IAGs in BC and establish a prognostic signature based on IAGs. RNA sequencing data and protein expression data were used to identify differentially expressed IAGs in BC. An IAGs based signature was further constructed and the prognostic and predictive values of the signature were evaluated by survival analysis and nomogram. RNA isolation and reverse transcription-quantitative PCR (RT-qPCR) were further performed to investigate the expression levels of IAGs in BC cells and were used to explore the relationship between IAGs and M2 tumour-associated macrophages (TAMs) secreted transforming growth factor-β1 (TGF-β1) in BC cells. We selected five IAGs to develop an IAGs signature model, which were significantly related to survival outcomes of BC patients. RT-qPCR showed that five IAGs were significantly differentially expressed and three IAGs were positively correlated with M2 TAMs secreted TGF-β1 in T24 cells. We identified and validated an IAGs based signature to predict the prognosis of BC patients. Furthermore, M2 TAMs may promote the expression of IAGs in BC via the TGF-β1 signalling pathway.

摘要

目前的研究表明,免疫相关基因(IAGs)在膀胱癌(BC)的发生和发展中具有重要作用。本研究旨在鉴定 IAGs 在 BC 中的预后价值,并基于 IAGs 建立一个预后特征。使用 RNA 测序数据和蛋白质表达数据来鉴定 BC 中差异表达的 IAGs。进一步构建基于 IAGs 的特征,并通过生存分析和列线图评估特征的预后和预测价值。进行 RNA 分离和逆转录定量 PCR(RT-qPCR)进一步研究 IAGs 在 BC 细胞中的表达水平,并用于探索 IAGs 与 BC 细胞中 M2 肿瘤相关巨噬细胞(TAMs)分泌的转化生长因子-β1(TGF-β1)之间的关系。我们选择了五个 IAGs 来开发 IAGs 特征模型,该模型与 BC 患者的生存结果显著相关。RT-qPCR 显示,五个 IAGs 在 T24 细胞中差异表达显著,三个 IAGs 与 M2 TAMs 分泌的 TGF-β1 呈正相关。我们鉴定并验证了基于 IAGs 的特征,以预测 BC 患者的预后。此外,M2 TAMs 可能通过 TGF-β1 信号通路促进 BC 中 IAGs 的表达。

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