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The impact of high co-expression of Sp1 and HIF1 alpha on prognosis of patients with hepatocellular cancer

机译:Sp1和HIF1 alpha的高共表达对肝细胞癌患者预后的影响

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Transcription factor specificity protein 1 (Sp1) and hypoxia-inducible factor 1 alpha (HIF1 alpha) serve vital roles in tumor growth and metastasis. The present study aimed to evaluate the impact of co-expression of Sp1 and HIF1a on the prognosis of patients with hepatocellular cancer (HCC) using The Cancer Genome Atlas (TCGA) database and to validate the association between the expression levels of Sp1/HIF1 alpha in HCC specimens and patient survival using immunohistochemical analysis. A total of 214 eligible patients with HCC from TCGA database were collected for the study. The expression profile of Sp1 and HIF1a were obtained from the TCGA RNAseq database. Clinicopathological characteristics, including age, height, weight, gender, race, ethnicity, family cancer history, serum a-fetoprotein (AFP), surgical procedures and TNM stage were collected. The Cox proportional hazards regression model and Kaplan-Meier curves were used to assess the relative factors. Receiver operating characteristic (ROC) curves for cancer-specific survival (CSS) prediction were plotted to compare the prediction ability of expression of Sp1 and HIF1a and their co-expression. The location and expression of Sp1 and HIF1a in the HCC tissues were detected by immunohistochemistry (IHC) to verify the association between these two genes and CSS. The results demonstrated that the expressions of Sp1 and HIF1a were significantly increased in the succumbed group (P=0.001), compared with the surviving group. The CSS rates were 60.1% at 3 years (1,067 days), 35.8% at 5 years (1,823 days) and 9.5% at 10 years (3,528 days). Multivariate Cox regression analysis demonstrated that only the high expression levels of Sp1 and HIF1 alpha (>= 2x10(3)) were independent predictors for cancer mortality, with P=0.001 and P=0.029, respectively. The area under the curve for the ROC was found to be higher using the combination testing for two genes (0.751) in predicting cancer mortality, compared to a single gene (0.632 for Sp1 and 0.717 for HIF1a). Based on the cutoff points for gene expression, patients were divided into 3 groups: G1 (both genes <2x10(3)), G2 (either gene >= 2x10(3)) and G3 (both genes >= 2x10(3)). The risk of cancer mortality increased with high expression of genes, and G3 exhibited a greater risk than G2 when compared with the G1 group (HR=5.420, 95% CI 2.767-10.616, P=0.001; HR=3.270, 95% CI 1.843-5.803, P=0.001). The IHC staining results indicated that patients who died of cancer presented with significantly higher expression levels of these genes compared with those that did not (P=0.001). In summary, high expression levels of Sp1 and HIF1a in HCC tissues were associated with poor prognosis; in particular, the co-expression of these two genes increased the risk of cancer mortality.
机译:转录因子特异性蛋白1(Sp1)和缺氧诱导因子1 alpha(HIF1 alpha)在肿瘤生长和转移中起着至关重要的作用。本研究旨在使用癌症基因组图谱(TCGA)数据库评估Sp1和HIF1a共同表达对肝细胞癌(HCC)患者预后的影响,并验证Sp1 / HIF1 alpha表达水平之间的关联使用免疫组化分析检测肝癌样本和患者的生存率。从TCGA数据库中总共收集了214名符合条件的HCC患者用于研究。 Sp1和HIF1a的表达谱是从TCGA RNAseq数据库获得的。收集临床病理特征,包括年龄,身高,体重,性别,种族,种族,家族癌症史,血清甲胎蛋白(AFP),手术程序和TNM分期。使用Cox比例风险回归模型和Kaplan-Meier曲线评估相关因素。绘制了用于癌症特异性生存(CSS)预测的受试者工作特征(ROC)曲线,以比较Sp1和HIF1a表达及其共表达的预测能力。通过免疫组织化学(IHC)检测Sp1和HIF1a在肝癌组织中的位置和表达,以验证这两个基因与CSS之间的关联。结果表明,与存活组相比,屈服组Sp1和HIF1a的表达显着增加(P = 0.001)。 3年(1,067天)的CSS发生率为60.1%,5年(1,823天)的CSS发生率为35.8%,而10年(3,528天)的CSS发生率为9.5%。多变量Cox回归分析表明,只有Sp1和HIF1 alpha的高表达水平(> = 2x10(3))是癌症死亡率的独立预测因子,分别为P = 0.001和P = 0.029。与单个基因(Sp1为0.632,HIF1a为0.717)相比,使用两个基因(0.751)进行组合测试可以预测ROC曲线下的面积,以预测癌症死亡率。根据基因表达的临界点,将患者分为3组:G1(两个基因<2x10(3)),G2(两个基因> = 2x10(3))和G3(两个基因> = 2x10(3)) 。与基因高表达相比,癌症死亡的风险随着基因的高表达而增加,G3的风险高于G2(HR = 5.420,95%CI 2.767-10.616,P = 0.001; HR = 3.270,95%CI 1.843 -5.803,P = 0.001)。 IHC染色结果表明,死于癌症的患者与未死的患者相比,这些基因的表达水平明显更高(P = 0.001)。综上所述,肝癌组织中Sp1和HIF1a的高表达与预后不良有关。特别地,这两个基因的共表达增加了癌症死亡的风险。

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