CRYL1是透明细胞肾细胞癌的潜在预后生物标志物,与免疫浸润和杯突症相关。

IF 2.7 4区 医学 Q3 ONCOLOGY Technology in Cancer Research & Treatment Pub Date : 2024-01-01 DOI:10.1177/15330338241237439
Peng Li, Qiangqiang Xu, Ken Liu, Junjie Ye
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引用次数: 0

摘要

背景:透明细胞肾细胞癌(ccRCC透明细胞肾细胞癌(ccRCC)是一种广泛存在的泌尿生殖系统肿瘤。然而,这些方法的疗效并不令人满意。深入筛查生物标志物有助于早期诊断和治疗,并预测患者的预后:方法:根据特定标准选择 GEO 数据集。应用差异表达基因(DEG)、加权基因共表达网络分析(WGCNA)、蛋白-蛋白相互作用、LASSO、随机森林和 Cox 回归分析来确定独立的预后生物标志物。为了确定TSVR的预后价值和可能的分子机制,研究人员进行了生存分析、与临床特征的相关性分析、基因组富集分析(GSEA)、GO富集分析、免疫浸润分析以及与杯突症相关基因的相关性分析。为了验证CRYL1的功能属性,研究人员使用了伤口愈合实验、transwell实验、细胞集落形成实验、流式细胞术和免疫组化(IHC)分析:结果:纳入了四个 GEO 数据集来筛选枢纽基因。DEG结合WGCNA显示了一个关键模块,其中有300个基因与 "生存状态 "相关性最强(R2 = -0.24,P = 7e-8);LASSO、随机森林和Cytoscape识别出了6个基因。最后,CRYL1(危险比(HR)= 2.01,P 结论:CRYL1 是预测 "生存状态 "的可靠基因:CRYL1是ccRCC患者临床病理特征和生存状况的可靠预测标志物。
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CRYL1 is a Potential Prognostic Biomarker of Clear Cell Renal Cell Carcinoma Correlated with Immune Infiltration and Cuproptosis.

Background: Clear cell renal cell carcinoma (ccRCC) is a widespread urogenital neoplasm. However, the therapeutic efficacy of these methods is unsatisfactory. In-depth screening of biomarkers could aid early diagnosis and therapy and predict patient prognosis.

Methods: The GEO datasets were selected with specific criteria. Differentially expressed gene (DEG), weighted gene coexpression network analysis (WGCNA), protein-protein interaction, LASSO, random forest, and Cox regression analyses were applied to identify the independent prognostic biomarkers. Survival analysis, correlation with clinical features, gene set enrichment analysis (GSEA), GO enrichment, immune infiltration analysis, and correlation with cuproptosis-related genes were carried out to determine the prognostic value and possible molecular mechanisms of the TSVR. Wound healing assays, transwell assays, cell colony formation experiments, flow cytometry, and immunohistochemistry (IHC) analysis were used to validate the functional attributes of CRYL1.

Results: Four GEO datasets were included to screen for hub genes. DEG combined with WGCNA showed a key module with 300 genes having the strongest correlation with "survival state" (R2 = -0.24 and P = 7e-8); six genes were identified by LASSO, random forest, and Cytoscape. Finally, CRYL1 (hazard ratio (HR) = 2.01, P < 0.001) was selected as an independent prognostic biomarker. The higher CRYL1 expression group had better DFS and overall survival (OS). GSEA demonstrated that the CRYL1-related DEGs were enriched mainly in the metabolism of sugar, fat, and amino acids. CRYL1 is positively correlated with FDX1 and the LIAS pathway, which are important molecule involved in cuproptosis. CRYL1 affects the infiltration abundance of four immune cells and can predict a positive OS. Wound healing, transwell, cell colony formation, and flow cytometry assays demonstrated that CRYL1 silencing enhances migration and proliferation and leads to a decreased apoptotic ratio. IHC analysis suggested that CRYL1 was highly expressed in adjacent tissues.

Conclusions: CRYL1 is a robust predictive marker for clinicopathological characteristics and survival status in ccRCC patients.

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来源期刊
CiteScore
4.40
自引率
0.00%
发文量
202
审稿时长
2 months
期刊介绍: Technology in Cancer Research & Treatment (TCRT) is a JCR-ranked, broad-spectrum, open access, peer-reviewed publication whose aim is to provide researchers and clinicians with a platform to share and discuss developments in the prevention, diagnosis, treatment, and monitoring of cancer.
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