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碱性亮氨酸拉链转录因子在肾透明细胞癌中的诊断和预后作用

Diagnostic and prognostic role of basic leucine zipper transcription factor in kidney renal clear cell carcinoma.

作者信息

Zhang Hui, Zhang Hui, Hu Yiming, Huang Bin, Chen Junxing, Chen Lingwu

机构信息

Department of Urology, The First Affiliated Hospital of Sun Yet-sun University, Guangzhou, China.

Medical College of Huanghuai University, Zhumadian, China.

出版信息

Transl Androl Urol. 2022 Feb;11(2):238-252. doi: 10.21037/tau-21-1130.

DOI:10.21037/tau-21-1130
PMID:35280662
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8899137/
Abstract

BACKGROUND

Basic leucine zipper transcription factor (BATF) plays a crucial role in development and progression of different types of carcinomas. However, its prognostic value in kidney renal clear cell carcinoma (KIRC) is yet to be elucidated.

METHODS

We obtained clinicopathological data and expression profiles of BATF from The Cancer Genome Atlas (TCGA) on the pan-cancer and KIRC perspectives. We calculated the area under the curve (AUC) of the receiver-operating characteristic curves to understand the discriminatory capacity of BATF. Next, we generated Kaplan-Meier curves to assess the effect of BATF on the overall survival (OS) of patients, then performed univariate and multivariate Cox regression analyses. Subsequently, we used multivariate regression to construct a nomogram for predicting prognosis. Furthermore, we construct a protein-protein interaction (PPI) network, then performed gene set enrichment and pathway enrichment analyses to determine the biological function of the co-expression genes. Finally, we performed tumor microenvironment analyses to establish the relationship between BATF expression and infiltrating immune cells.

RESULTS

BATF was significantly upregulated in KIRC relative to normal kidney tissues. Upregulation of BATF mRNA was associated with higher TNM pathological stage, histological grade, and poor OS/PFI (progression-free interval). Receiver-operating characteristic (ROC) curves showed that BATF had excellent diagnostic value in KIRC, as evidenced by the AUC and cutoff values of 0.942 and 2.033, respectively. Kaplan-Meier survival curves demonstrated that KIRC patients with high-BATF were associated with worse prognosis (hazard ratio =1.42, P=0.024). Results from Cox univariate analyses indicated that BATF was an independent prognostic factor in KIRC patients, and survival probabilities were predicted by the established nomogram. Results from the Tumor Immune Estimation Resource (TIMER) and BATF mRNA expression showed an association with immune cell infiltration.

CONCLUSIONS

BATF is a prognostic biomarker and a potential target for immune therapies in KIRC.

摘要

背景

碱性亮氨酸拉链转录因子(BATF)在不同类型癌症的发生发展中起关键作用。然而,其在肾透明细胞癌(KIRC)中的预后价值尚待阐明。

方法

我们从癌症基因组图谱(TCGA)获取了关于泛癌和KIRC的BATF临床病理数据及表达谱。我们计算了受试者工作特征曲线的曲线下面积(AUC),以了解BATF的鉴别能力。接下来,我们生成了Kaplan-Meier曲线以评估BATF对患者总生存期(OS)的影响,然后进行单因素和多因素Cox回归分析。随后,我们使用多因素回归构建了一个预测预后的列线图。此外,我们构建了蛋白质-蛋白质相互作用(PPI)网络,然后进行基因集富集和通路富集分析,以确定共表达基因的生物学功能。最后,我们进行了肿瘤微环境分析,以建立BATF表达与浸润免疫细胞之间的关系。

结果

相对于正常肾组织,BATF在KIRC中显著上调。BATF mRNA的上调与更高的TNM病理分期、组织学分级以及较差的OS/PFI(无进展生存期)相关。受试者工作特征(ROC)曲线表明,BATF在KIRC中具有出色的诊断价值,AUC和截断值分别为0.942和2.033,证明了这一点。Kaplan-Meier生存曲线表明,BATF高表达的KIRC患者预后较差(风险比=1.42,P=0.024)。Cox单因素分析结果表明,BATF是KIRC患者的独立预后因素,并且通过建立的列线图预测了生存概率。肿瘤免疫估计资源(TIMER)和BATF mRNA表达的结果显示与免疫细胞浸润相关。

结论

BATF是KIRC的预后生物标志物和免疫治疗的潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/7e2dca3a85c2/tau-11-02-238-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/2717c3b668a5/tau-11-02-238-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/71a578184f22/tau-11-02-238-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/1b5197ad6759/tau-11-02-238-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/977562b58249/tau-11-02-238-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/e7a6b3a7e8e9/tau-11-02-238-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/7e2dca3a85c2/tau-11-02-238-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/2717c3b668a5/tau-11-02-238-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/71a578184f22/tau-11-02-238-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/1b5197ad6759/tau-11-02-238-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/977562b58249/tau-11-02-238-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/e7a6b3a7e8e9/tau-11-02-238-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ecac/8899137/7e2dca3a85c2/tau-11-02-238-f6.jpg

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