Department of Pathology, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, Guangxi, China (mainland).
Life Science Institute, Guangxi Medical University, Nanning, Guangxi, China (mainland).
Med Sci Monit. 2019 May 19;25:3700-3715. doi: 10.12659/MSM.914162.
BACKGROUND Serum ferritin is a useful tumor marker for renal cell carcinoma (RCC). However, the expression of ferritin heavy chain (FTH1), the main subunit of ferritin, is unclear in primary RCC tissues. In this study, we investigated FTH1 mRNA expression and its diagnostic and prognostic value in RCC. MATERIAL AND METHODS The mRNA expression of FTH1 was analyzed using including Oncomine, Gene Expression Omnibus, and Cancer Genome Atlas datasets, while the protein level of FTH1 was analyzed using the Human Protein Atlas database. The associations between FTH1 and clinicopathologic characteristics and survival time and Cox multivariate survival analysis were analyzed using SPSS 22.0 software. A meta-analysis was performed to assess consistency of FTH1 expression. GO, KEGG, and PPI analyses were used to predict biological functions. RESULTS According to TCGA data, overexpression of FTH1 was detected in 890 RCC tissues (15.2904±0.63157) compared to 129 normal kidney tissues (14.4502±0.51523, p<0.001). Among the clinicopathological characteristics evaluated, patients with increased pathologic T staging, lymph node metastasis, and distant metastasis were significantly associated with higher expression of FTH1. Elevated FTH1 mRNA levels were correlated with worse prognosis of RCC patients. Cox multivariate survival analysis indicated that age, stage, and M stage were predictors of poor prognosis in patients with RCC. CONCLUSIONS Our data suggest that FTH1 expression is an effective prognostic and diagnosis biomarker for RCC.
血清铁蛋白是肾细胞癌(RCC)的一种有用的肿瘤标志物。然而,铁蛋白重链(FTH1)的表达在原发性 RCC 组织中尚不清楚。在本研究中,我们研究了 FTH1 mRNA 的表达及其在 RCC 中的诊断和预后价值。
使用 Oncomine、基因表达综合数据库和癌症基因组图谱数据集分析 FTH1 mRNA 的表达,同时使用人类蛋白质图谱数据库分析 FTH1 蛋白水平。使用 SPSS 22.0 软件分析 FTH1 与临床病理特征和生存时间的关系以及 Cox 多变量生存分析。进行荟萃分析以评估 FTH1 表达的一致性。GO、KEGG 和 PPI 分析用于预测生物学功能。
根据 TCGA 数据,与 129 个正常肾脏组织(14.4502±0.51523)相比,890 个 RCC 组织中检测到 FTH1 过表达(15.2904±0.63157,p<0.001)。在评估的临床病理特征中,病理 T 分期、淋巴结转移和远处转移增加的患者与 FTH1 表达升高显著相关。升高的 FTH1 mRNA 水平与 RCC 患者的预后较差相关。Cox 多变量生存分析表明,年龄、分期和 M 分期是 RCC 患者预后不良的预测因素。
我们的数据表明,FTH1 表达是 RCC 有效的预后和诊断生物标志物。