Zhang Yaping, Wang Gennian, Wang Mancai
Department of Hepatopathy, Lanzhou University Second Hospital, Lanzhou, China.
Department of General Surgery, Lanzhou University Second Hospital, Lanzhou, China.
Transl Cancer Res. 2023 Jul 31;12(7):1684-1702. doi: 10.21037/tcr-23-4. Epub 2023 Jun 29.
Hepatocellular carcinoma (HCC) is a malignancy with a poor prognosis. This study aimed to evaluate the role and molecular mechanism of lysine-rich nucleolar protein 1 () in HCC.
Data from The Cancer Genome Atlas (TCGA), genotype-tissue expression (GTEx), and Gene Expression Omnibus (GEO) databases were used to compare expression in normal and HCC tissues. The Human Protein Atlas (HPA) database was used to verify KNOP1 protein expression. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), gene set enrichment, protein-protein and gene-gene interaction network, DNA methylation, genetic alteration, and immune cell infiltration analyses were used to analyze the function and pathway enrichment of . Finally, receiver operating characteristic (ROC) curves, Kaplan-Meier (KM) analysis, univariate/multivariate Cox regression analyses, and nomograms were used to predict the clinical and prognostic significance of .
expression was higher in HCC tissue samples than in normal specimens. Additionally, high KNOP1 expression was positively correlated with T helper 2 (Th2) cells and immune checkpoints. KM analysis, Cox regression analysis, and nomogram prognostic model prediction suggested that high expression is a risk factor for poor HCC prognosis.
KNOP1 overexpression is associated with poor HCC prognosis and increased proportions of immune cell infiltration and checkpoints. KNOP1 is a potential biomarker for evaluating HCC prognosis.
肝细胞癌(HCC)是一种预后较差的恶性肿瘤。本研究旨在评估富含赖氨酸的核仁蛋白1()在HCC中的作用及分子机制。
使用来自癌症基因组图谱(TCGA)、基因型组织表达(GTEx)和基因表达综合数据库(GEO)的数据,比较正常组织和HCC组织中的表达。利用人类蛋白质图谱(HPA)数据库验证KNOP1蛋白表达。采用基因本体论(GO)、京都基因与基因组百科全书(KEGG)、基因集富集分析、蛋白质-蛋白质和基因-基因相互作用网络分析、DNA甲基化分析、基因改变分析以及免疫细胞浸润分析,来分析的功能和通路富集情况。最后,使用受试者工作特征(ROC)曲线、Kaplan-Meier(KM)分析、单因素/多因素Cox回归分析以及列线图,来预测的临床和预后意义。
HCC组织样本中的表达高于正常样本。此外,高KNOP1表达与辅助性T细胞2(Th2)和免疫检查点呈正相关。KM分析、Cox回归分析和列线图预后模型预测表明,高表达是HCC预后不良的一个危险因素。
KNOP1过表达与HCC预后不良以及免疫细胞浸润和检查点比例增加有关。KNOP1是评估HCC预后的一个潜在生物标志物。