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在透明细胞肾细胞癌中鉴定与IRF相关的分子亚型以表征免疫特征并指导治疗。

Identification of IRF-associated molecular subtypes in clear cell renal cell carcinoma to characterize immunological characteristics and guide therapy.

作者信息

Chen Can, Chen Lin-Yuan, Yang Rui-Xia, Zhang Jie-Xin, Shao Peng-Fei, Xu Hua-Guo

机构信息

Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, Jiangsu, China.

出版信息

Front Oncol. 2023 Jan 19;12:1118472. doi: 10.3389/fonc.2022.1118472. eCollection 2022.

Abstract

BACKGROUND

Recently studies have identified a critical role for interferon regulatory factor (IRF) in modulating tumour immune microenvironment (TME) infiltration and tumorigenesis.

METHODS

Based on IRF1-9 expression profiles, we classified all ccRCC samples into three molecular subtypes (clusters A-C) and characterized the prognosis and immune infiltration of these clusters. IRFscore constructed by principal component analysis was performed to quantify IRF-related subtypes in individual patients.

RESULTS

We proved that IRFscore predicted multiple patient characteristics, with high IRFscore group having poorer prognosis, suppressed TME, increased T-cell exhaustion, increased TMB and greater sensitivity to anti- PD-1/CTLA-4 therapies. Furthermore, analysis of metastatic ccRCC (mccRCC) molecular subtypes and drug sensitivity proved that low IRFscore was more sensitive to targeted therapies. Moreover, IRFscore grouping can be well matched to the immunological and molecular typing of ccRCC. qRT-PCR showed differential expression of IRFs in different cell lines.

CONCLUSIONS

Evaluating IRF-related molecular subtypes in individual ccRCC patients not only facilitates our understanding of tumour immune infiltration, but also provides more effective clinical ideas for personalised treatment.

摘要

背景

最近的研究已经确定干扰素调节因子(IRF)在调节肿瘤免疫微环境(TME)浸润和肿瘤发生中起关键作用。

方法

基于IRF1-9表达谱,我们将所有肾透明细胞癌(ccRCC)样本分为三种分子亚型(A-C簇),并对这些簇的预后和免疫浸润进行了表征。通过主成分分析构建的IRF评分用于量化个体患者中与IRF相关的亚型。

结果

我们证明IRF评分可预测多种患者特征,IRF评分高的组预后较差,TME受到抑制,T细胞耗竭增加,肿瘤突变负荷(TMB)增加,对抗程序性死亡蛋白1(PD-1)/细胞毒性T淋巴细胞相关蛋白4(CTLA-4)疗法更敏感。此外,对转移性ccRCC(mccRCC)分子亚型和药物敏感性的分析证明,低IRF评分对靶向治疗更敏感。此外,IRF评分分组与ccRCC的免疫和分子分型能够很好地匹配。定量逆转录聚合酶链反应(qRT-PCR)显示IRF在不同细胞系中的表达存在差异。

结论

评估个体ccRCC患者中与IRF相关的分子亚型不仅有助于我们了解肿瘤免疫浸润,还为个性化治疗提供了更有效的临床思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/daf1/9892447/b57975c21c91/fonc-12-1118472-g001.jpg

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