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一种用于预测透明细胞肾细胞癌患者总生存期的新型7-甲基鸟苷(m7G)相关基因特征

A Novel 7-Methylguanosine (m7G)-Related Gene Signature for Overall Survival Prediction in Patient with Clear Cell Renal Cell Carcinoma.

作者信息

Fu Yongxin, Wang Jiawu, Hu Zhiya, Gou Yang, Li Yisen, Jiang Qing

机构信息

Department of Urology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

出版信息

J Oncol. 2023 Apr 8;2023:9645038. doi: 10.1155/2023/9645038. eCollection 2023.

Abstract

Clear cell renal cell carcinoma (ccRCC) is the most common pathology type of renal cancer that has an abysmal prognosis. Although a crucial role for 7-methylguanosine modification in cancer cell development has been reported, its role in ccRCC remains uncertain. This study was conducted to determine the efficacy of predictive biomarkers based on m7G-related genes in ccRCC. Firstly, we extracted clinical data and gene expression profiles of ccRCC patients from publicly accessible databases. It identified that 22 of the m7G-related 34 genes were related to overall survival, and 5 of the 22 genes were significantly expressed differently in tumor tissues. Based on Lasso regression analysis, five optimal genes (CYFIP2, EIF4A1, NUDT1, NUDT10, and NUDT4) were chosen to build a new predictive risk model in the TCGA cohort. Validation was carried out with the E-MTAB-1980 cohort. Then, a prognostic nomogram was erected, including the m7G-related gene risk score, age, histological grade, and stage status. Further studies and analysis showed that immune cell infiltration might be associated with the m7G-related risk genes. In addition, the relationship between gene expression and drug response was evaluated by the Pearson correlation test. Therefore, the risk signature with five selected m7G-related genes may be a promising prognostic biomarker and contribute to standardized prognostic assessment for ccRCC.

摘要

透明细胞肾细胞癌(ccRCC)是肾癌最常见的病理类型,预后极差。尽管已有报道7-甲基鸟苷修饰在癌细胞发育中起关键作用,但其在ccRCC中的作用仍不确定。本研究旨在确定基于m7G相关基因的预测生物标志物在ccRCC中的疗效。首先,我们从公开可用的数据库中提取了ccRCC患者的临床数据和基因表达谱。研究发现,34个m7G相关基因中的22个与总生存期相关,其中5个基因在肿瘤组织中的表达存在显著差异。基于套索回归分析,选择了五个最佳基因(CYFIP2、EIF4A1、NUDT1、NUDT10和NUDT4)在TCGA队列中构建新的预测风险模型。并在E-MTAB-1980队列中进行了验证。然后,建立了一个预后列线图,包括m7G相关基因风险评分、年龄、组织学分级和分期状态。进一步的研究和分析表明,免疫细胞浸润可能与m7G相关风险基因有关。此外,通过Pearson相关性检验评估了基因表达与药物反应之间的关系。因此,由五个选定的m7G相关基因组成的风险特征可能是一种有前景的预后生物标志物,并有助于ccRCC的标准化预后评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4171/10118881/e2e888fe8d45/JO2023-9645038.001.jpg

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