Identification of RNA-binding protein RBMS3 as a potential biomarker for immunotherapy in bladder cancer.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-08-04 DOI:10.3233/CBM-230489
Tarimo Fredrick Praygod, Jinlong Li, Hongwei Li, Wanlong Tan, Zhiming Hu, Li Zhou
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Abstract

RNA-binding protein (RBP) plays pivotal roles in the malignant progression of cancer by regulating gene expression. In this paper, we aimed to develop RBP-based prognostic signature and identify critical hub RBPs in bladder cancer (BLCA). Firstly, a risk model based on differentially expressed RBP gens (DERBPs) between normal and tumor tissues was successfully established, which can predict the tumor stromal score and drug sensitivity. Then two another RBP risk models based on miRNA-correlated RBPs or lncRNA-correlated RBPs were also established, and RBMS3 was identified as the overlapping gene in the three models. Data from multiple bioinformatics databases revealed that RBMS3 was an independent prognostic factor for overall survival (OS), and was associated with an immunosuppressive tumor microenvironment (TME) in BLCA. Further, Single-cell RNA-Seq (scRNA-Seq) data and the human protein altas (HPA) database showed that RBMS3 expression (both mRNA and protein) were up-regulated in BLCA tumor and tumor stromal cells. Finally, RBMS3 was shown to be associated with worse response to BLCA immunotherapy. Overall, RBMS3 is a key prognostic RBP with TME remodeling function and may serve as a target for BLCA immunotherapy.

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将 RNA 结合蛋白 RBMS3 鉴定为膀胱癌免疫疗法的潜在生物标记物。
RNA 结合蛋白(RBP)通过调控基因表达在癌症的恶性进展中发挥着关键作用。本文旨在建立基于 RBP 的预后特征,并识别膀胱癌(BLCA)中的关键枢纽 RBP。首先,我们成功建立了一个基于正常组织和肿瘤组织间差异表达 RBP 基因(DERBPs)的风险模型,该模型可预测肿瘤基质评分和药物敏感性。此外,还建立了另外两个基于miRNA相关RBPs或lncRNA相关RBPs的RBP风险模型,并发现RBMS3是这三个模型中的重叠基因。来自多个生物信息学数据库的数据显示,RBMS3是影响总生存期(OS)的独立预后因素,并与BLCA的免疫抑制性肿瘤微环境(TME)相关。此外,单细胞RNA-Seq(scRNA-Seq)数据和人类蛋白质数据库(HPA)显示,RBMS3的表达(mRNA和蛋白质)在BLCA肿瘤和肿瘤基质细胞中上调。最后,RBMS3 与 BLCA 免疫疗法的不良反应有关。总之,RBMS3是一种关键的预后RBP,具有TME重塑功能,可作为BLCA免疫疗法的靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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