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一种用于预测透明细胞肾细胞癌预后的铜死亡相关基因模型

A Cuproptosis-Related Gene Model For Predicting the Prognosis of Clear Cell Renal Cell Carcinoma.

作者信息

Mei Wangli, Liu Xiang, Jia Xuyang, Jin Liang, Xin Shiyong, Sun Xianchao, Zhang Jiaxin, Zhang Bihui, Chen Yilai, Che Jianping, Ma Weiguo, Ye Lin

机构信息

Department of Urology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.

Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.

出版信息

Front Genet. 2022 Aug 11;13:905518. doi: 10.3389/fgene.2022.905518. eCollection 2022.

DOI:10.3389/fgene.2022.905518
PMID:36092880
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9450221/
Abstract

Despite advances in its treatment, patients diagnosed with clear cell renal cell carcinoma (ccRCC) have a poor prognosis. The mechanism of cuproptosis has been found to differ from other mechanisms that regulate cell death, including apoptosis, iron poisoning, pyrophosphate poisoning, and necrosis. Cuproptosis is an essential component in the regulation of a wide variety of biological processes, such as cell wall remodeling and oxidative stress responses. However, cuproptosis-related genes' expression in ccRCC patients and their association with the patient's prognosis remain ambiguous. Evaluation of The Cancer Genome Atlas (TCGA) identified 11 genes associated with cuproptosis that were differently expressed in ccRCC and nearby nontumor tissue. To construct a multigene prognostic model, the prognostic value of 11 genes was assessed and quantified. A signature was constructed by least absolute shrinkage and selection operator (LASSO) Cox regression analysis, and this signature was used to separate ccRCC patients into different risk clusters, with low-risk patients having a much better prognosis. This five-gene signature, when combined with patients' clinical characteristics, might serve as one independent predictor of overall survival (OS) in ccRCC patients. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis demonstrated that cuproptosis-related genes were enriched in patients with ccRCC. Then, quantitative real-time PCR (qPCR) was employed to verify these genes' expression. Generally, research has indicated that cuproptosis-related genes are important in tumor immunity and can predict OS of ccRCC patients.

摘要

尽管在透明细胞肾细胞癌(ccRCC)的治疗方面取得了进展,但被诊断患有该病的患者预后仍然很差。已发现铜死亡的机制与其他调节细胞死亡的机制不同,包括细胞凋亡、铁中毒、焦磷酸中毒和坏死。铜死亡是多种生物学过程调节中的重要组成部分,如细胞壁重塑和氧化应激反应。然而,铜死亡相关基因在ccRCC患者中的表达及其与患者预后的关联仍不明确。对癌症基因组图谱(TCGA)的评估确定了11个与铜死亡相关的基因,这些基因在ccRCC和附近的非肿瘤组织中表达不同。为构建多基因预后模型,对这11个基因的预后价值进行了评估和量化。通过最小绝对收缩和选择算子(LASSO)Cox回归分析构建了一个特征,该特征用于将ccRCC患者分为不同的风险组,低风险患者的预后要好得多。这个五基因特征与患者的临床特征相结合,可能作为ccRCC患者总生存期(OS)的一个独立预测指标。基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析表明,铜死亡相关基因在ccRCC患者中富集。然后,采用定量实时PCR(qPCR)验证这些基因的表达。总体而言,研究表明铜死亡相关基因在肿瘤免疫中很重要,并且可以预测ccRCC患者的OS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e518/9450221/43aad2235297/fgene-13-905518-g010.jpg
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