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肾细胞癌亚型免疫相关新生存预测的分子特征

Molecular signature of immune-related new survival predictions for subtype of renal cell carcinomas.

作者信息

Su Xichen, Huang Yonghe, Wang Xiaosen, Cui Li

机构信息

Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.

Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai Jiao Tong University, Shanghai, China.

出版信息

Transl Androl Urol. 2024 Oct 31;13(10):2180-2193. doi: 10.21037/tau-24-225. Epub 2024 Oct 28.

DOI:10.21037/tau-24-225
PMID:39507856
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11535737/
Abstract

BACKGROUND

Kidney renal papillary cell carcinoma (KIRP), kidney chromophobe (KICH), and kidney renal clear cell carcinoma (KIRC) are three most common subtypes of renal cell carcinomas (RCC), and its development is a multifaceted process that intricately involves the interplay of numerous genes. Despite recent advances in research on renal cell carcinoma, the prognosis of KIRC patients remains dismal. Therefore, there is an urgent need to explore new prognostic biomarkers and treatment strategies to help clinicians choose more effective treatment methods and accurately predict long-term efficacy. Our study aimed to systematically evaluate the gene expression profiles of three RCC subtypes, especially KIRC, and to identify survival-related biomarker.

METHODS

In our present study, we systematically evaluate the genes expression profile difference among three subtypes of RCC, and identify the survival-related key genes signature based on GEPIA2. GeneMANIA was used to identify the functionality-related differentially expressed genes (DEGs). Furthermore, focusing on KIRC, we intersected functionality-related and survival-related DEGs based on two datasets.

RESULTS

We ascertained five DEGs ( and ) as key survival-related genes in KIRC. High levels of these five DEGs expressions were strongly associated with favorable prognosis, but not correlated to metastasis. Downregulation of these five DEGs expressions was closely associated with immunomodulators, chemokines, and infiltrating levels of different immune cells, which indicated that these five DEGs were key immune-related novel prognostic biomarkers for KIRC.

CONCLUSIONS

The five identified DEGs serve as potential novel prognostic biomarkers for KIRC. However, the crucial factors that lead to the downregulation and functional inactivation of these five key genes need to be explored in future studies.

摘要

背景

肾乳头状细胞癌(KIRP)、肾嫌色细胞癌(KICH)和肾透明细胞癌(KIRC)是肾细胞癌(RCC)最常见的三种亚型,其发展是一个多方面的过程,复杂地涉及众多基因的相互作用。尽管肾细胞癌的研究最近取得了进展,但KIRC患者的预后仍然很差。因此,迫切需要探索新的预后生物标志物和治疗策略,以帮助临床医生选择更有效的治疗方法并准确预测长期疗效。我们的研究旨在系统评估三种RCC亚型,特别是KIRC的基因表达谱,并识别与生存相关的生物标志物。

方法

在本研究中,我们系统评估了RCC三种亚型之间的基因表达谱差异,并基于GEPIA2识别与生存相关的关键基因特征。使用GeneMANIA识别与功能相关的差异表达基因(DEG)。此外,聚焦于KIRC,我们基于两个数据集交叉分析了与功能相关和与生存相关的DEG。

结果

我们确定了五个DEG(和)作为KIRC中与生存相关的关键基因。这五个DEG的高表达水平与良好的预后密切相关,但与转移无关。这五个DEG表达的下调与免疫调节剂、趋化因子以及不同免疫细胞的浸润水平密切相关,这表明这五个DEG是KIRC关键的免疫相关新型预后生物标志物。

结论

所确定的五个DEG作为KIRC潜在的新型预后生物标志物。然而,导致这五个关键基因下调和功能失活的关键因素需要在未来的研究中进行探索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/dfe29bdafb24/tau-13-10-2180-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/f4c2d471a4b5/tau-13-10-2180-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/a94d7bde094e/tau-13-10-2180-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/5652b885b57e/tau-13-10-2180-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/03398ffd2ea8/tau-13-10-2180-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/876f6b8d58d2/tau-13-10-2180-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/72d7bda02a2f/tau-13-10-2180-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/6d6728084870/tau-13-10-2180-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/0cff5121d7f5/tau-13-10-2180-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/dfe29bdafb24/tau-13-10-2180-f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/f4c2d471a4b5/tau-13-10-2180-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/a94d7bde094e/tau-13-10-2180-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/5652b885b57e/tau-13-10-2180-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/03398ffd2ea8/tau-13-10-2180-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/876f6b8d58d2/tau-13-10-2180-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/72d7bda02a2f/tau-13-10-2180-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/6d6728084870/tau-13-10-2180-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/0cff5121d7f5/tau-13-10-2180-f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/81d5/11535737/dfe29bdafb24/tau-13-10-2180-f9.jpg

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