未经评估:全球,肝癌是最常见的恶性肿瘤之一,是癌症死亡的第三大原因。RNA结合蛋白(RBP)是一类与RNA结合以调节代谢过程的蛋白质的总称。RNA结合蛋白的表达与肝癌患者的预后有关。
UNASSIGNED:从TCGA数据库中提取肝癌的RBP基因表达数据。首先,通过富集分析和火山作图选择差异表达的RBPs(DERBPs)。然后,通过单因素Cox回归分析选择与预后相关的RBP基因。通过多因素Cox回归分析进一步筛选关键预后相关的RBPs,并获得了患者风险系数的公式。最后,根据患者的风险评分,建立并验证了列线图。
UNASSIGNED:我们提取了374个癌症组织样本和50个正常组织样本,每个样本的临床信息。通过富集分析,我们筛选了208个上调的RBPs和122个下调的RBPs。预后相关高危基因为EEF1E1、NOP56、UPF3B、SF3B4,SMG5,CD3EAP,BRCA1,BARD1,XPO5,CSTF2,EZH2,EXO1,RRP12,PRIM1,LIN28B,NROB1和TCOF1,低危基因为MRPL46、RCL1、MRPL54、CPEB3、IFIT5、PPARGC1A,EIF2AK4,SEPSECS,ACO1、SECISBP2L和ZCCHC24。进一步对预后相关的RBPs进行多因素Cox回归分析,筛选出与预后相关的三个关键RBPs,分别为BARD1、NR0B1和EIF2AK4。获得患者风险系数计算公式:风险评分=(1.207×BARD1Exp)+(0.483×NR0B1Exp)+(-0.720×EIF2AK4Exp)。最后,根据风险评分建立列线图,以预测患者1~5年的生存时间.
UNASSIGNED:列线图对肝癌患者的生存时间具有良好的预测价值。
UNASSIGNED: Globally, liver cancer is one of the most common malignant tumors and is the third leading cause of cancer deaths. RNA-binding protein (RBP) is a general term for a class of proteins that bind to RNA to regulate metabolic processes. The expression of RNA-binding proteins is related to the prognosis of liver cancer patients.
UNASSIGNED: The RBP gene expression data of liver cancer were extracted from the TCGA database. First, the differentially expressed RBPs (DE RBPs) were selected through enrichment analysis and volcano mapping. Then, the prognosis-related RBP genes were selected through single-factor Cox regression analysis. The key prognosis-related RBPs were further screened by multifactor Cox regression analysis, and a formula for the patient\'s risk coefficient was obtained. Finally, based on the patient\'s risk score, a nomogram was established and verified.
UNASSIGNED: We extracted 374 cancer tissue samples and 50 normal tissue samples with the clinical information from each sample. Through enrichment analysis, we screened 208 upregulated RBPs and 122 downregulated RBPs. Prognosis-related high-risk genes were EEF1E1, NOP56, UPF3B, SF3B4, SMG5, CD3EAP, BRCA1, BARD1, XPO5, CSTF2, EZH2, EXO1, RRP12, PRIM1, LIN28B, NROB1 and TCOF1, and the low-risk genes were MRPL46, RCL1, MRPL54, CPEB3, IFIT5, PPARGC1A, EIF2AK4, SEPSECS, ACO1, SECISBP2 L and ZCCHC24. Further multivariate Cox regression analysis was performed on the prognosis-related RBPs, and the three key prognosis-related RBPs were screened out, which were BARD1, NR0B1 and EIF2AK4. A patient risk coefficient calculation formula was obtained: risk score = (1.207×BARD1 Exp) + (0.483×NR0B1 Exp) + (-0.720×EIF2AK4 Exp). Finally, a nomogram was established based on the risk score to predict the survival time of patients from 1 to 5 years.
UNASSIGNED: The nomogram has good predictive value for the survival time of liver cancer patients.