Introduction: Renal clear cell carcinoma (ccRCC) is a common tumor of the urinary system, most of which are primary malignant tumors with high metastatic rate and remaining incurable. Ferroptosis is a newly discovered form of iron-dependent programmed cell necrosis in recent years, which is inextricably linked to the occurrence and development of tumors progression. Due to the complexity of the interaction between genes in ccRCC, the research on the pathogenesis of ccRCC is still not remarkably accurate. Therefore, whether ferroptosis-related genes (FRGs) can play a role in predicting prognosis in ccRCC needs to be discussed.
Methods: We entered the Cancer Genome Mapping Project (TCGA) database and downloaded the relevant genes and clinical research data of ccRCC patients. Lasso Cox regression was used to construct a multi-gene prognostic model in the TCGA cohort. R language software was used for drawing pictures related to our study.
Results: Most of the genes involved in ferroptosis (86.2%) existing differences between the tumor and normal tissues in the TCGA public gene database. In terms of univariate Cox regression analysis, 20 differentially expressed genes (DEGs) were associated with prognosis and survival (P< 0.05). A prognostic model of 12 FRGs was constructed, and patients were segmented into two different groups depending on how risky they are. Considering overall survival, the high-risk group is dramatically lower than the low-risk group (P< 0.001). In multivariate Cox regression analysis, risk scores and stage turned out be an independent prognostic factor (P< 0.001). GO and KEGG analysis and ssGSEA analysis of DEGs revealed that these genes were related to immune-related pathways (P< 0.05).
Conclusion: This study established and identified the changes in FRGs expression and prognostic factors of ccRCC, which can be helpful for prognosis evaluation and clinical treatment of this disease.

Keywords: renal clear cell carcinoma, ferroptosis, TCGA database, the prognosis


中文翻译：

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基于TCGA数据库的肾透明细胞癌铁死亡相关基因表达及预后因素分析

简介：肾透明细胞癌（ccRCC）是泌尿系统常见的肿瘤，多为原发性恶性肿瘤，转移率高，难以治愈。铁死亡是近年来新发现的一种铁依赖性程序性细胞坏死，与肿瘤进展的发生发展密不可分。由于ccRCC基因间相互作用的复杂性，对ccRCC发病机制的研究仍不十分准确。因此，铁死亡相关基因（FRGs）是否可以在预测ccRCC预后中发挥作用有待讨论。
方法：我们进入癌症基因组图谱计划（TCGA）数据库，下载了ccRCC患者的相关基因和临床研究数据。Lasso Cox 回归用于在 TCGA 队列中构建多基因预后模型。R语言软件用于绘制与我们研究相关的图片。
结果：在 TCGA 公共基因数据库中，大部分与铁死亡有关的基因（86.2%）在肿瘤和正常组织之间存在差异。在单变量Cox回归分析中，20个差异表达基因（DEGs）与预后和生存相关（P<0.05）。构建了 12 个 FRG 的预后模型，根据患者的风险程度将患者分为两个不同的组。考虑到总生存期，高危组显着低于低危组（P<0.001）。在多变量 Cox 回归分析中，风险评分和分期被证明是独立的预后因素（P<0.001）。DEGs的GO和KEGG分析以及ssGSEA分析显示这些基因与免疫相关通路有关（P<0.05）。
结论：本研究建立并鉴定了ccRCC的FRGs表达变化及预后因素，有助于该病的预后评估和临床治疗。

关键词：肾透明细胞癌，铁死亡，TCGA数据库，预后